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# Directory Structure
```
├── .claude
│ ├── agents
│ │ ├── amp-bridge.md
│ │ ├── amp-pr-automator.md
│ │ ├── code-quality-guard.md
│ │ ├── gemini-pr-automator.md
│ │ └── github-release-manager.md
│ ├── settings.local.json.backup
│ └── settings.local.json.local
├── .commit-message
├── .dockerignore
├── .env.example
├── .env.sqlite.backup
├── .envnn#
├── .gitattributes
├── .github
│ ├── FUNDING.yml
│ ├── ISSUE_TEMPLATE
│ │ ├── bug_report.yml
│ │ ├── config.yml
│ │ ├── feature_request.yml
│ │ └── performance_issue.yml
│ ├── pull_request_template.md
│ └── workflows
│ ├── bridge-tests.yml
│ ├── CACHE_FIX.md
│ ├── claude-code-review.yml
│ ├── claude.yml
│ ├── cleanup-images.yml.disabled
│ ├── dev-setup-validation.yml
│ ├── docker-publish.yml
│ ├── LATEST_FIXES.md
│ ├── main-optimized.yml.disabled
│ ├── main.yml
│ ├── publish-and-test.yml
│ ├── README_OPTIMIZATION.md
│ ├── release-tag.yml.disabled
│ ├── release.yml
│ ├── roadmap-review-reminder.yml
│ ├── SECRET_CONDITIONAL_FIX.md
│ └── WORKFLOW_FIXES.md
├── .gitignore
├── .mcp.json.backup
├── .mcp.json.template
├── .pyscn
│ ├── .gitignore
│ └── reports
│ └── analyze_20251123_214224.html
├── AGENTS.md
├── archive
│ ├── deployment
│ │ ├── deploy_fastmcp_fixed.sh
│ │ ├── deploy_http_with_mcp.sh
│ │ └── deploy_mcp_v4.sh
│ ├── deployment-configs
│ │ ├── empty_config.yml
│ │ └── smithery.yaml
│ ├── development
│ │ └── test_fastmcp.py
│ ├── docs-removed-2025-08-23
│ │ ├── authentication.md
│ │ ├── claude_integration.md
│ │ ├── claude-code-compatibility.md
│ │ ├── claude-code-integration.md
│ │ ├── claude-code-quickstart.md
│ │ ├── claude-desktop-setup.md
│ │ ├── complete-setup-guide.md
│ │ ├── database-synchronization.md
│ │ ├── development
│ │ │ ├── autonomous-memory-consolidation.md
│ │ │ ├── CLEANUP_PLAN.md
│ │ │ ├── CLEANUP_README.md
│ │ │ ├── CLEANUP_SUMMARY.md
│ │ │ ├── dream-inspired-memory-consolidation.md
│ │ │ ├── hybrid-slm-memory-consolidation.md
│ │ │ ├── mcp-milestone.md
│ │ │ ├── multi-client-architecture.md
│ │ │ ├── test-results.md
│ │ │ └── TIMESTAMP_FIX_SUMMARY.md
│ │ ├── distributed-sync.md
│ │ ├── invocation_guide.md
│ │ ├── macos-intel.md
│ │ ├── master-guide.md
│ │ ├── mcp-client-configuration.md
│ │ ├── multi-client-server.md
│ │ ├── service-installation.md
│ │ ├── sessions
│ │ │ └── MCP_ENHANCEMENT_SESSION_MEMORY_v4.1.0.md
│ │ ├── UBUNTU_SETUP.md
│ │ ├── ubuntu.md
│ │ ├── windows-setup.md
│ │ └── windows.md
│ ├── docs-root-cleanup-2025-08-23
│ │ ├── AWESOME_LIST_SUBMISSION.md
│ │ ├── CLOUDFLARE_IMPLEMENTATION.md
│ │ ├── DOCUMENTATION_ANALYSIS.md
│ │ ├── DOCUMENTATION_CLEANUP_PLAN.md
│ │ ├── DOCUMENTATION_CONSOLIDATION_COMPLETE.md
│ │ ├── LITESTREAM_SETUP_GUIDE.md
│ │ ├── lm_studio_system_prompt.md
│ │ ├── PYTORCH_DOWNLOAD_FIX.md
│ │ └── README-ORIGINAL-BACKUP.md
│ ├── investigations
│ │ └── MACOS_HOOKS_INVESTIGATION.md
│ ├── litestream-configs-v6.3.0
│ │ ├── install_service.sh
│ │ ├── litestream_master_config_fixed.yml
│ │ ├── litestream_master_config.yml
│ │ ├── litestream_replica_config_fixed.yml
│ │ ├── litestream_replica_config.yml
│ │ ├── litestream_replica_simple.yml
│ │ ├── litestream-http.service
│ │ ├── litestream.service
│ │ └── requirements-cloudflare.txt
│ ├── release-notes
│ │ └── release-notes-v7.1.4.md
│ └── setup-development
│ ├── README.md
│ ├── setup_consolidation_mdns.sh
│ ├── STARTUP_SETUP_GUIDE.md
│ └── test_service.sh
├── CHANGELOG-HISTORIC.md
├── CHANGELOG.md
├── claude_commands
│ ├── memory-context.md
│ ├── memory-health.md
│ ├── memory-ingest-dir.md
│ ├── memory-ingest.md
│ ├── memory-recall.md
│ ├── memory-search.md
│ ├── memory-store.md
│ ├── README.md
│ └── session-start.md
├── claude-hooks
│ ├── config.json
│ ├── config.template.json
│ ├── CONFIGURATION.md
│ ├── core
│ │ ├── memory-retrieval.js
│ │ ├── mid-conversation.js
│ │ ├── session-end.js
│ │ ├── session-start.js
│ │ └── topic-change.js
│ ├── debug-pattern-test.js
│ ├── install_claude_hooks_windows.ps1
│ ├── install_hooks.py
│ ├── memory-mode-controller.js
│ ├── MIGRATION.md
│ ├── README-NATURAL-TRIGGERS.md
│ ├── README-phase2.md
│ ├── README.md
│ ├── simple-test.js
│ ├── statusline.sh
│ ├── test-adaptive-weights.js
│ ├── test-dual-protocol-hook.js
│ ├── test-mcp-hook.js
│ ├── test-natural-triggers.js
│ ├── test-recency-scoring.js
│ ├── tests
│ │ ├── integration-test.js
│ │ ├── phase2-integration-test.js
│ │ ├── test-code-execution.js
│ │ ├── test-cross-session.json
│ │ ├── test-session-tracking.json
│ │ └── test-threading.json
│ ├── utilities
│ │ ├── adaptive-pattern-detector.js
│ │ ├── context-formatter.js
│ │ ├── context-shift-detector.js
│ │ ├── conversation-analyzer.js
│ │ ├── dynamic-context-updater.js
│ │ ├── git-analyzer.js
│ │ ├── mcp-client.js
│ │ ├── memory-client.js
│ │ ├── memory-scorer.js
│ │ ├── performance-manager.js
│ │ ├── project-detector.js
│ │ ├── session-tracker.js
│ │ ├── tiered-conversation-monitor.js
│ │ └── version-checker.js
│ └── WINDOWS-SESSIONSTART-BUG.md
├── CLAUDE.md
├── CODE_OF_CONDUCT.md
├── CONTRIBUTING.md
├── Development-Sprint-November-2025.md
├── docs
│ ├── amp-cli-bridge.md
│ ├── api
│ │ ├── code-execution-interface.md
│ │ ├── memory-metadata-api.md
│ │ ├── PHASE1_IMPLEMENTATION_SUMMARY.md
│ │ ├── PHASE2_IMPLEMENTATION_SUMMARY.md
│ │ ├── PHASE2_REPORT.md
│ │ └── tag-standardization.md
│ ├── architecture
│ │ ├── search-enhancement-spec.md
│ │ └── search-examples.md
│ ├── architecture.md
│ ├── archive
│ │ └── obsolete-workflows
│ │ ├── load_memory_context.md
│ │ └── README.md
│ ├── assets
│ │ └── images
│ │ ├── dashboard-v3.3.0-preview.png
│ │ ├── memory-awareness-hooks-example.png
│ │ ├── project-infographic.svg
│ │ └── README.md
│ ├── CLAUDE_CODE_QUICK_REFERENCE.md
│ ├── cloudflare-setup.md
│ ├── deployment
│ │ ├── docker.md
│ │ ├── dual-service.md
│ │ ├── production-guide.md
│ │ └── systemd-service.md
│ ├── development
│ │ ├── ai-agent-instructions.md
│ │ ├── code-quality
│ │ │ ├── phase-2a-completion.md
│ │ │ ├── phase-2a-handle-get-prompt.md
│ │ │ ├── phase-2a-index.md
│ │ │ ├── phase-2a-install-package.md
│ │ │ └── phase-2b-session-summary.md
│ │ ├── code-quality-workflow.md
│ │ ├── dashboard-workflow.md
│ │ ├── issue-management.md
│ │ ├── pr-review-guide.md
│ │ ├── refactoring-notes.md
│ │ ├── release-checklist.md
│ │ └── todo-tracker.md
│ ├── docker-optimized-build.md
│ ├── document-ingestion.md
│ ├── DOCUMENTATION_AUDIT.md
│ ├── enhancement-roadmap-issue-14.md
│ ├── examples
│ │ ├── analysis-scripts.js
│ │ ├── maintenance-session-example.md
│ │ ├── memory-distribution-chart.jsx
│ │ └── tag-schema.json
│ ├── first-time-setup.md
│ ├── glama-deployment.md
│ ├── guides
│ │ ├── advanced-command-examples.md
│ │ ├── chromadb-migration.md
│ │ ├── commands-vs-mcp-server.md
│ │ ├── mcp-enhancements.md
│ │ ├── mdns-service-discovery.md
│ │ ├── memory-consolidation-guide.md
│ │ ├── migration.md
│ │ ├── scripts.md
│ │ └── STORAGE_BACKENDS.md
│ ├── HOOK_IMPROVEMENTS.md
│ ├── hooks
│ │ └── phase2-code-execution-migration.md
│ ├── http-server-management.md
│ ├── ide-compatability.md
│ ├── IMAGE_RETENTION_POLICY.md
│ ├── images
│ │ └── dashboard-placeholder.md
│ ├── implementation
│ │ ├── health_checks.md
│ │ └── performance.md
│ ├── IMPLEMENTATION_PLAN_HTTP_SSE.md
│ ├── integration
│ │ ├── homebrew.md
│ │ └── multi-client.md
│ ├── integrations
│ │ ├── gemini.md
│ │ ├── groq-bridge.md
│ │ ├── groq-integration-summary.md
│ │ └── groq-model-comparison.md
│ ├── integrations.md
│ ├── legacy
│ │ └── dual-protocol-hooks.md
│ ├── LM_STUDIO_COMPATIBILITY.md
│ ├── maintenance
│ │ └── memory-maintenance.md
│ ├── mastery
│ │ ├── api-reference.md
│ │ ├── architecture-overview.md
│ │ ├── configuration-guide.md
│ │ ├── local-setup-and-run.md
│ │ ├── testing-guide.md
│ │ └── troubleshooting.md
│ ├── migration
│ │ └── code-execution-api-quick-start.md
│ ├── natural-memory-triggers
│ │ ├── cli-reference.md
│ │ ├── installation-guide.md
│ │ └── performance-optimization.md
│ ├── oauth-setup.md
│ ├── pr-graphql-integration.md
│ ├── quick-setup-cloudflare-dual-environment.md
│ ├── README.md
│ ├── remote-configuration-wiki-section.md
│ ├── research
│ │ ├── code-execution-interface-implementation.md
│ │ └── code-execution-interface-summary.md
│ ├── ROADMAP.md
│ ├── sqlite-vec-backend.md
│ ├── statistics
│ │ ├── charts
│ │ │ ├── activity_patterns.png
│ │ │ ├── contributors.png
│ │ │ ├── growth_trajectory.png
│ │ │ ├── monthly_activity.png
│ │ │ └── october_sprint.png
│ │ ├── data
│ │ │ ├── activity_by_day.csv
│ │ │ ├── activity_by_hour.csv
│ │ │ ├── contributors.csv
│ │ │ └── monthly_activity.csv
│ │ ├── generate_charts.py
│ │ └── REPOSITORY_STATISTICS.md
│ ├── technical
│ │ ├── development.md
│ │ ├── memory-migration.md
│ │ ├── migration-log.md
│ │ ├── sqlite-vec-embedding-fixes.md
│ │ └── tag-storage.md
│ ├── testing
│ │ └── regression-tests.md
│ ├── testing-cloudflare-backend.md
│ ├── troubleshooting
│ │ ├── cloudflare-api-token-setup.md
│ │ ├── cloudflare-authentication.md
│ │ ├── general.md
│ │ ├── hooks-quick-reference.md
│ │ ├── pr162-schema-caching-issue.md
│ │ ├── session-end-hooks.md
│ │ └── sync-issues.md
│ └── tutorials
│ ├── advanced-techniques.md
│ ├── data-analysis.md
│ └── demo-session-walkthrough.md
├── examples
│ ├── claude_desktop_config_template.json
│ ├── claude_desktop_config_windows.json
│ ├── claude-desktop-http-config.json
│ ├── config
│ │ └── claude_desktop_config.json
│ ├── http-mcp-bridge.js
│ ├── memory_export_template.json
│ ├── README.md
│ ├── setup
│ │ └── setup_multi_client_complete.py
│ └── start_https_example.sh
├── install_service.py
├── install.py
├── LICENSE
├── NOTICE
├── pyproject.toml
├── pytest.ini
├── README.md
├── run_server.py
├── scripts
│ ├── .claude
│ │ └── settings.local.json
│ ├── archive
│ │ └── check_missing_timestamps.py
│ ├── backup
│ │ ├── backup_memories.py
│ │ ├── backup_sqlite_vec.sh
│ │ ├── export_distributable_memories.sh
│ │ └── restore_memories.py
│ ├── benchmarks
│ │ ├── benchmark_code_execution_api.py
│ │ ├── benchmark_hybrid_sync.py
│ │ └── benchmark_server_caching.py
│ ├── database
│ │ ├── analyze_sqlite_vec_db.py
│ │ ├── check_sqlite_vec_status.py
│ │ ├── db_health_check.py
│ │ └── simple_timestamp_check.py
│ ├── development
│ │ ├── debug_server_initialization.py
│ │ ├── find_orphaned_files.py
│ │ ├── fix_mdns.sh
│ │ ├── fix_sitecustomize.py
│ │ ├── remote_ingest.sh
│ │ ├── setup-git-merge-drivers.sh
│ │ ├── uv-lock-merge.sh
│ │ └── verify_hybrid_sync.py
│ ├── hooks
│ │ └── pre-commit
│ ├── installation
│ │ ├── install_linux_service.py
│ │ ├── install_macos_service.py
│ │ ├── install_uv.py
│ │ ├── install_windows_service.py
│ │ ├── install.py
│ │ ├── setup_backup_cron.sh
│ │ ├── setup_claude_mcp.sh
│ │ └── setup_cloudflare_resources.py
│ ├── linux
│ │ ├── service_status.sh
│ │ ├── start_service.sh
│ │ ├── stop_service.sh
│ │ ├── uninstall_service.sh
│ │ └── view_logs.sh
│ ├── maintenance
│ │ ├── assign_memory_types.py
│ │ ├── check_memory_types.py
│ │ ├── cleanup_corrupted_encoding.py
│ │ ├── cleanup_memories.py
│ │ ├── cleanup_organize.py
│ │ ├── consolidate_memory_types.py
│ │ ├── consolidation_mappings.json
│ │ ├── delete_orphaned_vectors_fixed.py
│ │ ├── fast_cleanup_duplicates_with_tracking.sh
│ │ ├── find_all_duplicates.py
│ │ ├── find_cloudflare_duplicates.py
│ │ ├── find_duplicates.py
│ │ ├── memory-types.md
│ │ ├── README.md
│ │ ├── recover_timestamps_from_cloudflare.py
│ │ ├── regenerate_embeddings.py
│ │ ├── repair_malformed_tags.py
│ │ ├── repair_memories.py
│ │ ├── repair_sqlite_vec_embeddings.py
│ │ ├── repair_zero_embeddings.py
│ │ ├── restore_from_json_export.py
│ │ └── scan_todos.sh
│ ├── migration
│ │ ├── cleanup_mcp_timestamps.py
│ │ ├── legacy
│ │ │ └── migrate_chroma_to_sqlite.py
│ │ ├── mcp-migration.py
│ │ ├── migrate_sqlite_vec_embeddings.py
│ │ ├── migrate_storage.py
│ │ ├── migrate_tags.py
│ │ ├── migrate_timestamps.py
│ │ ├── migrate_to_cloudflare.py
│ │ ├── migrate_to_sqlite_vec.py
│ │ ├── migrate_v5_enhanced.py
│ │ ├── TIMESTAMP_CLEANUP_README.md
│ │ └── verify_mcp_timestamps.py
│ ├── pr
│ │ ├── amp_collect_results.sh
│ │ ├── amp_detect_breaking_changes.sh
│ │ ├── amp_generate_tests.sh
│ │ ├── amp_pr_review.sh
│ │ ├── amp_quality_gate.sh
│ │ ├── amp_suggest_fixes.sh
│ │ ├── auto_review.sh
│ │ ├── detect_breaking_changes.sh
│ │ ├── generate_tests.sh
│ │ ├── lib
│ │ │ └── graphql_helpers.sh
│ │ ├── quality_gate.sh
│ │ ├── resolve_threads.sh
│ │ ├── run_pyscn_analysis.sh
│ │ ├── run_quality_checks.sh
│ │ ├── thread_status.sh
│ │ └── watch_reviews.sh
│ ├── quality
│ │ ├── fix_dead_code_install.sh
│ │ ├── phase1_dead_code_analysis.md
│ │ ├── phase2_complexity_analysis.md
│ │ ├── README_PHASE1.md
│ │ ├── README_PHASE2.md
│ │ ├── track_pyscn_metrics.sh
│ │ └── weekly_quality_review.sh
│ ├── README.md
│ ├── run
│ │ ├── run_mcp_memory.sh
│ │ ├── run-with-uv.sh
│ │ └── start_sqlite_vec.sh
│ ├── run_memory_server.py
│ ├── server
│ │ ├── check_http_server.py
│ │ ├── check_server_health.py
│ │ ├── memory_offline.py
│ │ ├── preload_models.py
│ │ ├── run_http_server.py
│ │ ├── run_memory_server.py
│ │ ├── start_http_server.bat
│ │ └── start_http_server.sh
│ ├── service
│ │ ├── deploy_dual_services.sh
│ │ ├── install_http_service.sh
│ │ ├── mcp-memory-http.service
│ │ ├── mcp-memory.service
│ │ ├── memory_service_manager.sh
│ │ ├── service_control.sh
│ │ ├── service_utils.py
│ │ └── update_service.sh
│ ├── sync
│ │ ├── check_drift.py
│ │ ├── claude_sync_commands.py
│ │ ├── export_memories.py
│ │ ├── import_memories.py
│ │ ├── litestream
│ │ │ ├── apply_local_changes.sh
│ │ │ ├── enhanced_memory_store.sh
│ │ │ ├── init_staging_db.sh
│ │ │ ├── io.litestream.replication.plist
│ │ │ ├── manual_sync.sh
│ │ │ ├── memory_sync.sh
│ │ │ ├── pull_remote_changes.sh
│ │ │ ├── push_to_remote.sh
│ │ │ ├── README.md
│ │ │ ├── resolve_conflicts.sh
│ │ │ ├── setup_local_litestream.sh
│ │ │ ├── setup_remote_litestream.sh
│ │ │ ├── staging_db_init.sql
│ │ │ ├── stash_local_changes.sh
│ │ │ ├── sync_from_remote_noconfig.sh
│ │ │ └── sync_from_remote.sh
│ │ ├── README.md
│ │ ├── safe_cloudflare_update.sh
│ │ ├── sync_memory_backends.py
│ │ └── sync_now.py
│ ├── testing
│ │ ├── run_complete_test.py
│ │ ├── run_memory_test.sh
│ │ ├── simple_test.py
│ │ ├── test_cleanup_logic.py
│ │ ├── test_cloudflare_backend.py
│ │ ├── test_docker_functionality.py
│ │ ├── test_installation.py
│ │ ├── test_mdns.py
│ │ ├── test_memory_api.py
│ │ ├── test_memory_simple.py
│ │ ├── test_migration.py
│ │ ├── test_search_api.py
│ │ ├── test_sqlite_vec_embeddings.py
│ │ ├── test_sse_events.py
│ │ ├── test-connection.py
│ │ └── test-hook.js
│ ├── utils
│ │ ├── claude_commands_utils.py
│ │ ├── generate_personalized_claude_md.sh
│ │ ├── groq
│ │ ├── groq_agent_bridge.py
│ │ ├── list-collections.py
│ │ ├── memory_wrapper_uv.py
│ │ ├── query_memories.py
│ │ ├── smithery_wrapper.py
│ │ ├── test_groq_bridge.sh
│ │ └── uv_wrapper.py
│ └── validation
│ ├── check_dev_setup.py
│ ├── check_documentation_links.py
│ ├── diagnose_backend_config.py
│ ├── validate_configuration_complete.py
│ ├── validate_memories.py
│ ├── validate_migration.py
│ ├── validate_timestamp_integrity.py
│ ├── verify_environment.py
│ ├── verify_pytorch_windows.py
│ └── verify_torch.py
├── SECURITY.md
├── selective_timestamp_recovery.py
├── SPONSORS.md
├── src
│ └── mcp_memory_service
│ ├── __init__.py
│ ├── api
│ │ ├── __init__.py
│ │ ├── client.py
│ │ ├── operations.py
│ │ ├── sync_wrapper.py
│ │ └── types.py
│ ├── backup
│ │ ├── __init__.py
│ │ └── scheduler.py
│ ├── cli
│ │ ├── __init__.py
│ │ ├── ingestion.py
│ │ ├── main.py
│ │ └── utils.py
│ ├── config.py
│ ├── consolidation
│ │ ├── __init__.py
│ │ ├── associations.py
│ │ ├── base.py
│ │ ├── clustering.py
│ │ ├── compression.py
│ │ ├── consolidator.py
│ │ ├── decay.py
│ │ ├── forgetting.py
│ │ ├── health.py
│ │ └── scheduler.py
│ ├── dependency_check.py
│ ├── discovery
│ │ ├── __init__.py
│ │ ├── client.py
│ │ └── mdns_service.py
│ ├── embeddings
│ │ ├── __init__.py
│ │ └── onnx_embeddings.py
│ ├── ingestion
│ │ ├── __init__.py
│ │ ├── base.py
│ │ ├── chunker.py
│ │ ├── csv_loader.py
│ │ ├── json_loader.py
│ │ ├── pdf_loader.py
│ │ ├── registry.py
│ │ ├── semtools_loader.py
│ │ └── text_loader.py
│ ├── lm_studio_compat.py
│ ├── mcp_server.py
│ ├── models
│ │ ├── __init__.py
│ │ └── memory.py
│ ├── server.py
│ ├── services
│ │ ├── __init__.py
│ │ └── memory_service.py
│ ├── storage
│ │ ├── __init__.py
│ │ ├── base.py
│ │ ├── cloudflare.py
│ │ ├── factory.py
│ │ ├── http_client.py
│ │ ├── hybrid.py
│ │ └── sqlite_vec.py
│ ├── sync
│ │ ├── __init__.py
│ │ ├── exporter.py
│ │ ├── importer.py
│ │ └── litestream_config.py
│ ├── utils
│ │ ├── __init__.py
│ │ ├── cache_manager.py
│ │ ├── content_splitter.py
│ │ ├── db_utils.py
│ │ ├── debug.py
│ │ ├── document_processing.py
│ │ ├── gpu_detection.py
│ │ ├── hashing.py
│ │ ├── http_server_manager.py
│ │ ├── port_detection.py
│ │ ├── system_detection.py
│ │ └── time_parser.py
│ └── web
│ ├── __init__.py
│ ├── api
│ │ ├── __init__.py
│ │ ├── analytics.py
│ │ ├── backup.py
│ │ ├── consolidation.py
│ │ ├── documents.py
│ │ ├── events.py
│ │ ├── health.py
│ │ ├── manage.py
│ │ ├── mcp.py
│ │ ├── memories.py
│ │ ├── search.py
│ │ └── sync.py
│ ├── app.py
│ ├── dependencies.py
│ ├── oauth
│ │ ├── __init__.py
│ │ ├── authorization.py
│ │ ├── discovery.py
│ │ ├── middleware.py
│ │ ├── models.py
│ │ ├── registration.py
│ │ └── storage.py
│ ├── sse.py
│ └── static
│ ├── app.js
│ ├── index.html
│ ├── README.md
│ ├── sse_test.html
│ └── style.css
├── start_http_debug.bat
├── start_http_server.sh
├── test_document.txt
├── test_version_checker.js
├── tests
│ ├── __init__.py
│ ├── api
│ │ ├── __init__.py
│ │ ├── test_compact_types.py
│ │ └── test_operations.py
│ ├── bridge
│ │ ├── mock_responses.js
│ │ ├── package-lock.json
│ │ ├── package.json
│ │ └── test_http_mcp_bridge.js
│ ├── conftest.py
│ ├── consolidation
│ │ ├── __init__.py
│ │ ├── conftest.py
│ │ ├── test_associations.py
│ │ ├── test_clustering.py
│ │ ├── test_compression.py
│ │ ├── test_consolidator.py
│ │ ├── test_decay.py
│ │ └── test_forgetting.py
│ ├── contracts
│ │ └── api-specification.yml
│ ├── integration
│ │ ├── package-lock.json
│ │ ├── package.json
│ │ ├── test_api_key_fallback.py
│ │ ├── test_api_memories_chronological.py
│ │ ├── test_api_tag_time_search.py
│ │ ├── test_api_with_memory_service.py
│ │ ├── test_bridge_integration.js
│ │ ├── test_cli_interfaces.py
│ │ ├── test_cloudflare_connection.py
│ │ ├── test_concurrent_clients.py
│ │ ├── test_data_serialization_consistency.py
│ │ ├── test_http_server_startup.py
│ │ ├── test_mcp_memory.py
│ │ ├── test_mdns_integration.py
│ │ ├── test_oauth_basic_auth.py
│ │ ├── test_oauth_flow.py
│ │ ├── test_server_handlers.py
│ │ └── test_store_memory.py
│ ├── performance
│ │ ├── test_background_sync.py
│ │ └── test_hybrid_live.py
│ ├── README.md
│ ├── smithery
│ │ └── test_smithery.py
│ ├── sqlite
│ │ └── simple_sqlite_vec_test.py
│ ├── test_client.py
│ ├── test_content_splitting.py
│ ├── test_database.py
│ ├── test_hybrid_cloudflare_limits.py
│ ├── test_hybrid_storage.py
│ ├── test_memory_ops.py
│ ├── test_semantic_search.py
│ ├── test_sqlite_vec_storage.py
│ ├── test_time_parser.py
│ ├── test_timestamp_preservation.py
│ ├── timestamp
│ │ ├── test_hook_vs_manual_storage.py
│ │ ├── test_issue99_final_validation.py
│ │ ├── test_search_retrieval_inconsistency.py
│ │ ├── test_timestamp_issue.py
│ │ └── test_timestamp_simple.py
│ └── unit
│ ├── conftest.py
│ ├── test_cloudflare_storage.py
│ ├── test_csv_loader.py
│ ├── test_fastapi_dependencies.py
│ ├── test_import.py
│ ├── test_json_loader.py
│ ├── test_mdns_simple.py
│ ├── test_mdns.py
│ ├── test_memory_service.py
│ ├── test_memory.py
│ ├── test_semtools_loader.py
│ ├── test_storage_interface_compatibility.py
│ └── test_tag_time_filtering.py
├── tools
│ ├── docker
│ │ ├── DEPRECATED.md
│ │ ├── docker-compose.http.yml
│ │ ├── docker-compose.pythonpath.yml
│ │ ├── docker-compose.standalone.yml
│ │ ├── docker-compose.uv.yml
│ │ ├── docker-compose.yml
│ │ ├── docker-entrypoint-persistent.sh
│ │ ├── docker-entrypoint-unified.sh
│ │ ├── docker-entrypoint.sh
│ │ ├── Dockerfile
│ │ ├── Dockerfile.glama
│ │ ├── Dockerfile.slim
│ │ ├── README.md
│ │ └── test-docker-modes.sh
│ └── README.md
└── uv.lock
```
# Files
--------------------------------------------------------------------------------
/docs/CLAUDE_CODE_QUICK_REFERENCE.md:
--------------------------------------------------------------------------------
```markdown
1 | # Claude Code Quick Reference for MCP Memory Service
2 |
3 | **One-page cheat sheet for efficient development with Claude Code**
4 |
5 | ---
6 |
7 | ## 🎯 Essential Keybindings
8 |
9 | | Key | Action | Use Case |
10 | |-----|--------|----------|
11 | | `Shift+Tab` | Auto-accept edits | Fast iteration on suggested changes |
12 | | `Esc` | Cancel operation | Stop unwanted actions |
13 | | `Ctrl+R` | Verbose output | Debug when things go wrong |
14 | | `#` | Create memory | Store important decisions |
15 | | `@` | Add to context | Include files/dirs (`@src/`, `@tests/`) |
16 | | `!` | Bash mode | Quick shell commands |
17 |
18 | ---
19 |
20 | ## 🚀 Common Tasks
21 |
22 | ### Memory Operations
23 |
24 | ```bash
25 | # Store information
26 | /memory-store "Hybrid backend uses SQLite primary + Cloudflare secondary"
27 |
28 | # Retrieve information
29 | /memory-recall "how to configure Cloudflare backend"
30 |
31 | # Check service health
32 | /memory-health
33 | ```
34 |
35 | ### Development Workflow
36 |
37 | ```bash
38 | # 1. Start with context
39 | @src/mcp_memory_service/storage/
40 | @tests/test_storage.py
41 |
42 | # 2. Make changes incrementally
43 | # Accept suggestions with Shift+Tab
44 |
45 | # 3. Test immediately
46 | pytest tests/test_storage.py -v
47 |
48 | # 4. Document decisions
49 | /memory-store "Changed X because Y"
50 | ```
51 |
52 | ### Backend Configuration
53 |
54 | ```bash
55 | # Check current backend
56 | python scripts/server/check_http_server.py -v
57 |
58 | # Validate configuration
59 | python scripts/validation/validate_configuration_complete.py
60 |
61 | # Diagnose issues
62 | python scripts/validation/diagnose_backend_config.py
63 | ```
64 |
65 | ### Synchronization
66 |
67 | ```bash
68 | # Check sync status
69 | python scripts/sync/sync_memory_backends.py --status
70 |
71 | # Preview sync (dry run)
72 | python scripts/sync/sync_memory_backends.py --dry-run
73 |
74 | # Execute sync
75 | python scripts/sync/sync_memory_backends.py --direction bidirectional
76 | ```
77 |
78 | ---
79 |
80 | ## 🏗️ Project-Specific Context
81 |
82 | ### Key Files to Add
83 |
84 | | Purpose | Files to Include |
85 | |---------|-----------------|
86 | | **Storage backends** | `@src/mcp_memory_service/storage/` |
87 | | **MCP protocol** | `@src/mcp_memory_service/server.py` |
88 | | **Web interface** | `@src/mcp_memory_service/web/` |
89 | | **Configuration** | `@.env.example`, `@src/mcp_memory_service/config.py` |
90 | | **Tests** | `@tests/test_*.py` |
91 | | **Scripts** | `@scripts/server/`, `@scripts/sync/` |
92 |
93 | ### Common Debugging Patterns
94 |
95 | ```bash
96 | # 1. HTTP Server not responding
97 | python scripts/server/check_http_server.py -v
98 | tasklist | findstr python # Check if running
99 | scripts/server/start_http_server.bat # Restart
100 |
101 | # 2. Wrong backend active
102 | python scripts/validation/diagnose_backend_config.py
103 | # Check: .env file, environment variables, Claude Desktop config
104 |
105 | # 3. Missing memories
106 | python scripts/sync/sync_memory_backends.py --status
107 | # Compare: Cloudflare count vs SQLite count
108 |
109 | # 4. Service logs
110 | @http_server.log # Add to context for troubleshooting
111 | ```
112 |
113 | ---
114 |
115 | ## 📚 Architecture Quick Reference
116 |
117 | ### Storage Backends
118 |
119 | | Backend | Performance | Use Case | Config Variable |
120 | |---------|-------------|----------|-----------------|
121 | | **Hybrid** ⭐ | 5ms read | Production (recommended) | `MCP_MEMORY_STORAGE_BACKEND=hybrid` |
122 | | **SQLite-vec** | 5ms read | Development, single-user | `MCP_MEMORY_STORAGE_BACKEND=sqlite_vec` |
123 | | **Cloudflare** | Network-dependent | Legacy cloud-only | `MCP_MEMORY_STORAGE_BACKEND=cloudflare` |
124 |
125 | ### Key Directories
126 |
127 | ```
128 | mcp-memory-service/
129 | ├── src/mcp_memory_service/
130 | │ ├── server.py # MCP protocol implementation
131 | │ ├── storage/
132 | │ │ ├── base.py # Abstract storage interface
133 | │ │ ├── sqlite_vec.py # SQLite-vec backend
134 | │ │ ├── cloudflare.py # Cloudflare backend
135 | │ │ └── hybrid.py # Hybrid backend (recommended)
136 | │ ├── web/
137 | │ │ ├── app.py # FastAPI server
138 | │ │ └── static/ # Dashboard UI
139 | │ └── config.py # Configuration management
140 | ├── scripts/
141 | │ ├── server/ # HTTP server management
142 | │ ├── sync/ # Backend synchronization
143 | │ └── validation/ # Configuration validation
144 | └── tests/ # Test suite
145 | ```
146 |
147 | ---
148 |
149 | ## 🔧 Environment Variables
150 |
151 | **Essential Configuration** (in `.env` file):
152 |
153 | ```bash
154 | # Backend Selection
155 | MCP_MEMORY_STORAGE_BACKEND=hybrid # hybrid|sqlite_vec|cloudflare
156 |
157 | # Cloudflare (required for hybrid/cloudflare backends)
158 | CLOUDFLARE_API_TOKEN=your-token
159 | CLOUDFLARE_ACCOUNT_ID=your-account
160 | CLOUDFLARE_D1_DATABASE_ID=your-d1-id
161 | CLOUDFLARE_VECTORIZE_INDEX=mcp-memory-index
162 |
163 | # Hybrid-Specific
164 | MCP_HYBRID_SYNC_INTERVAL=300 # 5 minutes
165 | MCP_HYBRID_BATCH_SIZE=50
166 | MCP_HYBRID_SYNC_ON_STARTUP=true
167 |
168 | # HTTP Server
169 | MCP_HTTP_ENABLED=true
170 | MCP_HTTPS_ENABLED=true
171 | MCP_API_KEY=your-generated-key
172 | ```
173 |
174 | ---
175 |
176 | ## 🐛 Troubleshooting Checklist
177 |
178 | ### HTTP Server Issues
179 | - [ ] Check if server is running: `python scripts/server/check_http_server.py -v`
180 | - [ ] Review logs: `@http_server.log`
181 | - [ ] Restart server: `scripts/server/start_http_server.bat`
182 | - [ ] Verify port 8000 is free: `netstat -ano | findstr :8000`
183 |
184 | ### Backend Configuration Issues
185 | - [ ] Run diagnostic: `python scripts/validation/diagnose_backend_config.py`
186 | - [ ] Check `.env` file exists and has correct values
187 | - [ ] Verify Cloudflare credentials are valid
188 | - [ ] Confirm environment variables loaded: check server startup logs
189 |
190 | ### Missing Memories
191 | - [ ] Check sync status: `python scripts/sync/sync_memory_backends.py --status`
192 | - [ ] Compare memory counts: Cloudflare vs SQLite
193 | - [ ] Run manual sync: `python scripts/sync/sync_memory_backends.py --dry-run`
194 | - [ ] Check for duplicates: Look for content hash matches
195 |
196 | ### Performance Issues
197 | - [ ] Verify backend: Hybrid should show ~5ms read times
198 | - [ ] Check disk space: Litestream requires adequate space
199 | - [ ] Monitor background sync: Check `http_server.log` for sync logs
200 | - [ ] Review embedding model cache: Should be loaded once
201 |
202 | ---
203 |
204 | ## 💡 Pro Tips
205 |
206 | ### Efficient Context Management
207 |
208 | ```bash
209 | # Start specific, expand as needed
210 | @src/mcp_memory_service/storage/hybrid.py # Specific file
211 | @src/mcp_memory_service/storage/ # Whole module if needed
212 |
213 | # Remove context when done
214 | # Use Esc to cancel unnecessary context additions
215 | ```
216 |
217 | ### Multi-Step Tasks
218 |
219 | ```bash
220 | # Always use TodoWrite for complex tasks
221 | # Claude will create and manage task list automatically
222 |
223 | # Example: "Implement new backend"
224 | # 1. Research existing backends
225 | # 2. Create new backend class
226 | # 3. Implement abstract methods
227 | # 4. Add configuration
228 | # 5. Write tests
229 | # 6. Update documentation
230 | ```
231 |
232 | ### Testing Strategy
233 |
234 | ```bash
235 | # Test incrementally
236 | pytest tests/test_storage.py::TestHybridBackend -v
237 |
238 | # Run full suite before committing
239 | pytest tests/ -v
240 |
241 | # Check coverage
242 | pytest tests/ --cov=src/mcp_memory_service --cov-report=term
243 | ```
244 |
245 | ### Git Workflow with Claude Code
246 |
247 | ```bash
248 | # Let Claude help with commits
249 | git status # Claude reviews changes
250 | git diff # Claude explains changes
251 |
252 | # Use semantic commits
253 | git commit -m "feat: add new backend support"
254 | git commit -m "fix: resolve sync timing issue"
255 | git commit -m "docs: update configuration guide"
256 | ```
257 |
258 | ---
259 |
260 | ## 📖 Additional Resources
261 |
262 | - **Full Documentation**: `@CLAUDE.md` (project-specific guide)
263 | - **Global Best Practices**: `~/.claude/CLAUDE.md` (cross-project)
264 | - **Wiki**: https://github.com/doobidoo/mcp-memory-service/wiki
265 | - **Troubleshooting**: See Wiki for comprehensive troubleshooting guide
266 |
267 | ---
268 |
269 | **Last Updated**: 2025-10-08
270 |
```
--------------------------------------------------------------------------------
/docs/technical/development.md:
--------------------------------------------------------------------------------
```markdown
1 | # MCP Memory Service - Development Guidelines
2 |
3 | ## Commands
4 | - Run memory server: `python scripts/run_memory_server.py`
5 | - Run tests: `pytest tests/`
6 | - Run specific test: `pytest tests/test_memory_ops.py::test_store_memory -v`
7 | - Check environment: `python scripts/verify_environment_enhanced.py`
8 | - Windows installation: `python scripts/install_windows.py`
9 | - Build package: `python -m build`
10 |
11 | ## Installation Guidelines
12 | - Always install in a virtual environment: `python -m venv venv`
13 | - Use `install.py` for cross-platform installation
14 | - Windows requires special PyTorch installation with correct index URL:
15 | ```bash
16 | pip install torch==2.1.0 torchvision==2.1.0 torchaudio==2.1.0 --index-url https://download.pytorch.org/whl/cu118
17 | ```
18 | - For recursion errors, run: `python scripts/fix_sitecustomize.py`
19 |
20 | ## Code Style
21 | - Python 3.10+ with type hints
22 | - Use dataclasses for models (see `models/memory.py`)
23 | - Triple-quoted docstrings for modules and functions
24 | - Async/await pattern for all I/O operations
25 | - Error handling with specific exception types and informative messages
26 | - Logging with appropriate levels for different severity
27 | - Commit messages follow semantic release format: `type(scope): message`
28 |
29 | ## Project Structure
30 | - `src/mcp_memory_service/` - Core package code
31 | - `models/` - Data models
32 | - `storage/` - Database abstraction
33 | - `utils/` - Helper functions
34 | - `server.py` - MCP protocol implementation
35 | - `scripts/` - Utility scripts
36 | - `memory_wrapper.py` - Windows wrapper script
37 | - `install.py` - Cross-platform installation script
38 |
39 | ## Dependencies
40 | - ChromaDB (0.5.23) for vector database
41 | - sentence-transformers (>=2.2.2) for embeddings
42 | - PyTorch (platform-specific installation)
43 | - MCP protocol (>=1.0.0, <2.0.0) for client-server communication
44 |
45 | ## Troubleshooting
46 |
47 | ### Common Issues
48 |
49 | - For Windows installation issues, use `scripts/install_windows.py`
50 | - Apple Silicon requires Python 3.10+ built for ARM64
51 | - CUDA issues: verify with `torch.cuda.is_available()`
52 | - For MCP protocol issues, check `server.py` for required methods
53 |
54 | ### MCP Server Configuration Issues
55 |
56 | If you encounter MCP server failures or "ModuleNotFoundError" issues:
57 |
58 | #### Missing http_server_manager Module
59 | **Symptoms:**
60 | - Server fails with "No module named 'mcp_memory_service.utils.http_server_manager'"
61 | - MCP server shows as "failed" in Claude Code
62 |
63 | **Diagnosis:**
64 | 1. Test server directly: `python -m src.mcp_memory_service.server --debug`
65 | 2. Check if the error occurs during eager storage initialization
66 | 3. Look for HTTP server coordination mode detection
67 |
68 | **Solution:**
69 | The `http_server_manager.py` module handles multi-client coordination. If missing, create it with:
70 | - `auto_start_http_server_if_needed()` function
71 | - Port detection and server startup logic
72 | - Integration with existing `port_detection.py` utilities
73 |
74 | #### Storage Backend Issues
75 | **Symptoms:**
76 | - "vec0 constructor error: Unknown table option" (older sqlite-vec versions)
77 | - Server initialization fails with storage errors
78 |
79 | **Diagnosis:**
80 | 1. Test each backend independently:
81 | - ChromaDB: `python scripts/run_memory_server.py --debug`
82 | - SQLite-vec: `MCP_MEMORY_STORAGE_BACKEND=sqlite_vec python -m src.mcp_memory_service.server --debug`
83 | 2. Check database health: Use MCP tools to call `check_database_health`
84 |
85 | **Solution:**
86 | - Ensure sqlite-vec is properly installed and compatible
87 | - Both backends should work when properly configured
88 | - SQLite-vec uses direct storage mode when HTTP coordination fails
89 |
90 | #### MCP Configuration Cleanup
91 | When multiple servers conflict or fail:
92 |
93 | 1. **Backup configurations:**
94 | ```bash
95 | cp .mcp.json .mcp.json.backup
96 | ```
97 |
98 | 2. **Remove failing servers** from `.mcp.json` while keeping working ones
99 |
100 | 3. **Test each backend separately:**
101 | - ChromaDB backend: Uses `scripts/run_memory_server.py`
102 | - SQLite-vec backend: Uses `python -m src.mcp_memory_service.server` with `MCP_MEMORY_STORAGE_BACKEND=sqlite_vec`
103 |
104 | 4. **Verify functionality** through MCP tools before re-enabling servers
105 |
106 | ### Collaborative Debugging with Claude Code
107 |
108 | When troubleshooting complex MCP issues, consider this collaborative approach between developer and Claude Code:
109 |
110 | #### Systematic Problem-Solving Partnership
111 | 1. **Developer identifies the symptom** (e.g., "memory server shows as failed")
112 | 2. **Claude Code conducts comprehensive diagnosis:**
113 | - Tests current functionality with MCP tools
114 | - Examines server logs and error messages
115 | - Checks configuration files and git history
116 | - Identifies root causes through systematic analysis
117 |
118 | 3. **Collaborative investigation approach:**
119 | - **Developer requests:** "Check both ways - verify current service works AND fix the failing alternative"
120 | - **Claude Code responds:** Creates todo lists, tests each component independently, provides detailed analysis
121 | - **Developer provides context:** Domain knowledge, constraints, preferences
122 |
123 | 4. **Methodical fix implementation:**
124 | - Back up configurations before changes
125 | - Fix issues incrementally with testing at each step
126 | - Document the process for future reference
127 | - Commit meaningful changes with proper commit messages
128 |
129 | #### Benefits of This Approach
130 | - **Comprehensive coverage:** Nothing gets missed when both perspectives combine
131 | - **Knowledge transfer:** Claude Code documents the process, developer retains understanding
132 | - **Systematic methodology:** Todo lists and step-by-step verification prevent overlooked issues
133 | - **Persistent knowledge:** Using the memory service itself to store troubleshooting solutions
134 |
135 | #### Example Workflow
136 | ```
137 | Developer: "MCP memory server is failing"
138 | ↓
139 | Claude Code: Creates todo list, tests current state, identifies missing module
140 | ↓
141 | Developer: "Let's fix it but keep the working parts"
142 | ↓
143 | Claude Code: Backs up configs, fixes incrementally, tests each component
144 | ↓
145 | Developer: "This should be documented"
146 | ↓
147 | Claude Code: Updates documentation, memorizes the solution
148 | ↓
149 | Both: Commit, push, and ensure knowledge is preserved
150 | ```
151 |
152 | This collaborative model leverages Claude Code's systematic analysis capabilities with the developer's domain expertise and decision-making authority.
153 |
154 | ## Debugging with MCP-Inspector
155 |
156 | To debug the MCP-MEMORY-SERVICE using the [MCP-Inspector](https://modelcontextprotocol.io/docs/tools/inspector) tool, you can use the following command pattern:
157 |
158 | ```bash
159 | MCP_MEMORY_CHROMA_PATH="/path/to/your/chroma_db" MCP_MEMORY_BACKUPS_PATH="/path/to/your/backups" npx @modelcontextprotocol/inspector uv --directory /path/to/mcp-memory-service run memory
160 | ```
161 |
162 | Replace the paths with your specific directories:
163 | - `/path/to/your/chroma_db`: Location where Chroma database files are stored
164 | - `/path/to/your/backups`: Location for memory backups
165 | - `/path/to/mcp-memory-service`: Directory containing the MCP-MEMORY-SERVICE code
166 |
167 | For example:
168 | ```bash
169 | MCP_MEMORY_CHROMA_PATH="~/Library/Mobile Documents/com~apple~CloudDocs/AI/claude-memory/chroma_db" MCP_MEMORY_BACKUPS_PATH="~/Library/Mobile Documents/com~apple~CloudDocs/AI/claude-memory/backups" npx @modelcontextprotocol/inspector uv --directory ~/Documents/GitHub/mcp-memory-service run memory
170 | ```
171 |
172 | This command sets the required environment variables and runs the memory service through the inspector tool for debugging purposes.
173 |
```
--------------------------------------------------------------------------------
/scripts/pr/run_pyscn_analysis.sh:
--------------------------------------------------------------------------------
```bash
1 | #!/bin/bash
2 | # scripts/pr/run_pyscn_analysis.sh - Run pyscn comprehensive code quality analysis
3 | #
4 | # Usage:
5 | # bash scripts/pr/run_pyscn_analysis.sh [--pr PR_NUMBER] [--threshold SCORE]
6 | #
7 | # Options:
8 | # --pr PR_NUMBER Post results as PR comment (requires gh CLI)
9 | # --threshold SCORE Minimum health score (default: 50, blocks below this)
10 | #
11 | # Examples:
12 | # bash scripts/pr/run_pyscn_analysis.sh # Local analysis
13 | # bash scripts/pr/run_pyscn_analysis.sh --pr 123 # Analyze and comment on PR #123
14 | # bash scripts/pr/run_pyscn_analysis.sh --threshold 70 # Require health score ≥70
15 |
16 | set -e
17 |
18 | # Colors for output
19 | RED='\033[0;31m'
20 | YELLOW='\033[1;33m'
21 | GREEN='\033[0;32m'
22 | BLUE='\033[0;34m'
23 | NC='\033[0m' # No Color
24 |
25 | # Parse arguments
26 | PR_NUMBER=""
27 | THRESHOLD=50 # Default: block if health score <50
28 |
29 | while [[ $# -gt 0 ]]; do
30 | case $1 in
31 | --pr)
32 | PR_NUMBER="$2"
33 | shift 2
34 | ;;
35 | --threshold)
36 | THRESHOLD="$2"
37 | shift 2
38 | ;;
39 | *)
40 | echo "Unknown option: $1"
41 | echo "Usage: $0 [--pr PR_NUMBER] [--threshold SCORE]"
42 | exit 1
43 | ;;
44 | esac
45 | done
46 |
47 | # Check for pyscn
48 | if ! command -v pyscn &> /dev/null; then
49 | echo -e "${RED}❌ pyscn not found${NC}"
50 | echo ""
51 | echo "Install pyscn with:"
52 | echo " pip install pyscn"
53 | echo ""
54 | echo "Repository: https://github.com/ludo-technologies/pyscn"
55 | exit 1
56 | fi
57 |
58 | echo -e "${BLUE}=== pyscn Code Quality Analysis ===${NC}"
59 | echo ""
60 |
61 | # Create reports directory if needed
62 | mkdir -p .pyscn/reports
63 |
64 | # Run pyscn analysis
65 | echo "Running pyscn analysis (this may take 30-60 seconds)..."
66 | echo ""
67 |
68 | # Generate timestamp for report
69 | TIMESTAMP=$(date +%Y%m%d_%H%M%S)
70 | REPORT_FILE=".pyscn/reports/analyze_${TIMESTAMP}.html"
71 | JSON_FILE=".pyscn/reports/analyze_${TIMESTAMP}.json"
72 |
73 | # Run analysis (HTML report)
74 | if pyscn analyze . --output "$REPORT_FILE" 2>&1 | tee /tmp/pyscn_output.log; then
75 | echo -e "${GREEN}✓${NC} Analysis complete"
76 | else
77 | echo -e "${RED}❌ Analysis failed${NC}"
78 | cat /tmp/pyscn_output.log
79 | exit 1
80 | fi
81 |
82 | # Extract metrics from HTML report using grep/sed
83 | # Note: This is a simple parser - adjust patterns if pyscn output format changes
84 | HEALTH_SCORE=$(grep -o 'Health Score: [0-9]*' "$REPORT_FILE" | head -1 | grep -o '[0-9]*' || echo "0")
85 | COMPLEXITY_SCORE=$(grep -o '<span class="score-value">[0-9]*</span>' "$REPORT_FILE" | head -1 | sed 's/<[^>]*>//g' || echo "0")
86 | DEAD_CODE_SCORE=$(grep -o '<span class="score-value">[0-9]*</span>' "$REPORT_FILE" | sed -n '2p' | sed 's/<[^>]*>//g' || echo "0")
87 | DUPLICATION_SCORE=$(grep -o '<span class="score-value">[0-9]*</span>' "$REPORT_FILE" | sed -n '3p' | sed 's/<[^>]*>//g' || echo "0")
88 |
89 | # Extract detailed metrics
90 | TOTAL_FUNCTIONS=$(grep -o '<div class="metric-value">[0-9]*</div>' "$REPORT_FILE" | head -1 | sed 's/<[^>]*>//g' || echo "0")
91 | AVG_COMPLEXITY=$(grep -o '<div class="metric-value">[0-9.]*</div>' "$REPORT_FILE" | sed -n '3p' | sed 's/<[^>]*>//g' || echo "0")
92 | MAX_COMPLEXITY=$(grep -o '<div class="metric-value">[0-9]*</div>' "$REPORT_FILE" | sed -n '3p' | sed 's/<[^>]*>//g' || echo "0")
93 | DUPLICATION_PCT=$(grep -o '<div class="metric-value">[0-9.]*%</div>' "$REPORT_FILE" | head -1 | sed 's/<[^>]*>//g' || echo "0%")
94 | DEAD_CODE_ISSUES=$(grep -o '<div class="metric-value">[0-9]*</div>' "$REPORT_FILE" | sed -n '4p' | sed 's/<[^>]*>//g' || echo "0")
95 | ARCHITECTURE_VIOLATIONS=$(grep -o '<div class="metric-value">[0-9]*</div>' "$REPORT_FILE" | tail -2 | head -1 | sed 's/<[^>]*>//g' || echo "0")
96 |
97 | echo ""
98 | echo -e "${BLUE}=== Analysis Results ===${NC}"
99 | echo ""
100 | echo "📊 Overall Health Score: $HEALTH_SCORE/100"
101 | echo ""
102 | echo "Quality Metrics:"
103 | echo " - Complexity: $COMPLEXITY_SCORE/100 (Avg: $AVG_COMPLEXITY, Max: $MAX_COMPLEXITY)"
104 | echo " - Dead Code: $DEAD_CODE_SCORE/100 ($DEAD_CODE_ISSUES issues)"
105 | echo " - Duplication: $DUPLICATION_SCORE/100 ($DUPLICATION_PCT duplication)"
106 | echo ""
107 | echo "📄 Report: $REPORT_FILE"
108 | echo ""
109 |
110 | # Determine status
111 | EXIT_CODE=0
112 | STATUS="✅ PASSED"
113 | EMOJI="✅"
114 | COLOR=$GREEN
115 |
116 | if [ "$HEALTH_SCORE" -lt "$THRESHOLD" ]; then
117 | STATUS="🔴 BLOCKED"
118 | EMOJI="🔴"
119 | COLOR=$RED
120 | EXIT_CODE=1
121 | elif [ "$HEALTH_SCORE" -lt 70 ]; then
122 | STATUS="⚠️ WARNING"
123 | EMOJI="⚠️"
124 | COLOR=$YELLOW
125 | fi
126 |
127 | echo -e "${COLOR}${STATUS}${NC} - Health score: $HEALTH_SCORE (threshold: $THRESHOLD)"
128 | echo ""
129 |
130 | # Generate recommendations
131 | RECOMMENDATIONS=""
132 |
133 | if [ "$HEALTH_SCORE" -lt 50 ]; then
134 | RECOMMENDATIONS="**🚨 Critical Action Required:**
135 | - Health score below 50 is a release blocker
136 | - Focus on top 5 highest complexity functions
137 | - Remove dead code before proceeding
138 | "
139 | elif [ "$HEALTH_SCORE" -lt 70 ]; then
140 | RECOMMENDATIONS="**⚠️ Improvement Recommended:**
141 | - Plan refactoring sprint within 2 weeks
142 | - Track high-complexity functions on project board
143 | - Review duplication patterns for consolidation opportunities
144 | "
145 | fi
146 |
147 | # Check for critical issues
148 | CRITICAL_COMPLEXITY=""
149 | if [ "$MAX_COMPLEXITY" -gt 10 ]; then
150 | CRITICAL_COMPLEXITY="- ⚠️ Functions with complexity >10 detected (Max: $MAX_COMPLEXITY)
151 | "
152 | fi
153 |
154 | CRITICAL_DUPLICATION=""
155 | DUPLICATION_NUM=$(echo "$DUPLICATION_PCT" | sed 's/%//')
156 | if (( $(echo "$DUPLICATION_NUM > 5.0" | bc -l) )); then
157 | CRITICAL_DUPLICATION="- ⚠️ Code duplication above 5% threshold ($DUPLICATION_PCT)
158 | "
159 | fi
160 |
161 | # Post to PR if requested
162 | if [ -n "$PR_NUMBER" ]; then
163 | if ! command -v gh &> /dev/null; then
164 | echo -e "${YELLOW}⚠️ gh CLI not found, skipping PR comment${NC}"
165 | else
166 | echo "Posting results to PR #$PR_NUMBER..."
167 |
168 | COMMENT_BODY="## ${EMOJI} pyscn Code Quality Analysis
169 |
170 | **Health Score:** $HEALTH_SCORE/100
171 |
172 | ### Quality Metrics
173 |
174 | | Metric | Score | Details |
175 | |--------|-------|---------|
176 | | 🔢 Complexity | $COMPLEXITY_SCORE/100 | Avg: $AVG_COMPLEXITY, Max: $MAX_COMPLEXITY |
177 | | 💀 Dead Code | $DEAD_CODE_SCORE/100 | $DEAD_CODE_ISSUES issues |
178 | | 📋 Duplication | $DUPLICATION_SCORE/100 | $DUPLICATION_PCT code duplication |
179 | | 🏗️ Architecture | N/A | $ARCHITECTURE_VIOLATIONS violations |
180 |
181 | ### Status
182 |
183 | $STATUS (Threshold: $THRESHOLD)
184 |
185 | ${CRITICAL_COMPLEXITY}${CRITICAL_DUPLICATION}${RECOMMENDATIONS}
186 |
187 | ### Full Report
188 |
189 | View detailed analysis: [HTML Report](.pyscn/reports/analyze_${TIMESTAMP}.html)
190 |
191 | ---
192 |
193 | <details>
194 | <summary>📖 About pyscn</summary>
195 |
196 | pyscn (Python Static Code Navigator) provides comprehensive static analysis including:
197 | - Cyclomatic complexity analysis
198 | - Dead code detection
199 | - Code duplication (clone detection)
200 | - Coupling metrics (CBO)
201 | - Dependency graph analysis
202 | - Architecture violation detection
203 |
204 | Repository: https://github.com/ludo-technologies/pyscn
205 | </details>"
206 |
207 | echo "$COMMENT_BODY" | gh pr comment "$PR_NUMBER" --body-file -
208 | echo -e "${GREEN}✓${NC} Posted comment to PR #$PR_NUMBER"
209 | fi
210 | fi
211 |
212 | # Summary
213 | echo ""
214 | echo -e "${BLUE}=== Summary ===${NC}"
215 | echo ""
216 |
217 | if [ $EXIT_CODE -eq 0 ]; then
218 | echo -e "${GREEN}✅ Quality checks passed${NC}"
219 | echo ""
220 | echo "Health score ($HEALTH_SCORE) meets threshold ($THRESHOLD)"
221 | else
222 | echo -e "${RED}❌ Quality checks failed${NC}"
223 | echo ""
224 | echo "Health score ($HEALTH_SCORE) below threshold ($THRESHOLD)"
225 | echo ""
226 | echo "Action required before merging:"
227 | echo " 1. Review full report: open $REPORT_FILE"
228 | echo " 2. Address high-complexity functions (complexity >10)"
229 | echo " 3. Remove dead code ($DEAD_CODE_ISSUES issues)"
230 | echo " 4. Reduce duplication where feasible"
231 | echo ""
232 | fi
233 |
234 | exit $EXIT_CODE
235 |
```
--------------------------------------------------------------------------------
/src/mcp_memory_service/sync/exporter.py:
--------------------------------------------------------------------------------
```python
1 | # Copyright 2024 Heinrich Krupp
2 | #
3 | # Licensed under the Apache License, Version 2.0 (the "License");
4 | # you may not use this file except in compliance with the License.
5 | # You may obtain a copy of the License at
6 | #
7 | # http://www.apache.org/licenses/LICENSE-2.0
8 | #
9 | # Unless required by applicable law or agreed to in writing, software
10 | # distributed under the License is distributed on an "AS IS" BASIS,
11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 | # See the License for the specific language governing permissions and
13 | # limitations under the License.
14 |
15 | """
16 | Memory export functionality for database synchronization.
17 | """
18 |
19 | import json
20 | import os
21 | import platform
22 | import logging
23 | from datetime import datetime
24 | from pathlib import Path
25 | from typing import List, Dict, Any, Optional
26 |
27 | from ..models.memory import Memory
28 | from ..storage.base import MemoryStorage
29 |
30 | logger = logging.getLogger(__name__)
31 |
32 |
33 | class MemoryExporter:
34 | """
35 | Exports memories from a storage backend to JSON format.
36 |
37 | Preserves all metadata, timestamps, and adds source tracking for
38 | multi-machine synchronization workflows.
39 | """
40 |
41 | def __init__(self, storage: MemoryStorage):
42 | """
43 | Initialize the exporter.
44 |
45 | Args:
46 | storage: The memory storage backend to export from
47 | """
48 | self.storage = storage
49 | self.machine_name = self._get_machine_name()
50 |
51 | def _get_machine_name(self) -> str:
52 | """Get a unique machine identifier."""
53 | # Try various methods to get a unique machine name
54 | machine_name = (
55 | os.environ.get('COMPUTERNAME') or # Windows
56 | os.environ.get('HOSTNAME') or # Linux/macOS
57 | platform.node() or # Platform module
58 | 'unknown-machine'
59 | )
60 | return machine_name.lower().replace(' ', '-')
61 |
62 | async def export_to_json(
63 | self,
64 | output_file: Path,
65 | include_embeddings: bool = False,
66 | filter_tags: Optional[List[str]] = None
67 | ) -> Dict[str, Any]:
68 | """
69 | Export all memories to JSON format.
70 |
71 | Args:
72 | output_file: Path to write the JSON export
73 | include_embeddings: Whether to include embedding vectors (large)
74 | filter_tags: Only export memories with these tags (optional)
75 |
76 | Returns:
77 | Export metadata dictionary with statistics
78 | """
79 | logger.info(f"Starting memory export to {output_file}")
80 |
81 | # Get all memories from storage
82 | all_memories = await self._get_filtered_memories(filter_tags)
83 |
84 | # Create export metadata
85 | export_metadata = {
86 | "source_machine": self.machine_name,
87 | "export_timestamp": datetime.now().isoformat(),
88 | "total_memories": len(all_memories),
89 | "database_path": str(self.storage.db_path) if hasattr(self.storage, 'db_path') else 'unknown',
90 | "platform": platform.system(),
91 | "python_version": platform.python_version(),
92 | "include_embeddings": include_embeddings,
93 | "filter_tags": filter_tags,
94 | "exporter_version": "5.0.1"
95 | }
96 |
97 | # Convert memories to exportable format
98 | exported_memories = []
99 | for memory in all_memories:
100 | memory_dict = await self._memory_to_dict(memory, include_embeddings)
101 | exported_memories.append(memory_dict)
102 |
103 | # Create final export structure
104 | export_data = {
105 | "export_metadata": export_metadata,
106 | "memories": exported_memories
107 | }
108 |
109 | # Write to JSON file
110 | output_file.parent.mkdir(parents=True, exist_ok=True)
111 | with open(output_file, 'w', encoding='utf-8') as f:
112 | json.dump(export_data, f, indent=2, ensure_ascii=False)
113 |
114 | # Log success
115 | file_size = output_file.stat().st_size
116 | logger.info(f"Export completed: {len(all_memories)} memories written to {output_file}")
117 | logger.info(f"File size: {file_size / 1024 / 1024:.2f} MB")
118 |
119 | # Return summary statistics
120 | return {
121 | "success": True,
122 | "exported_count": len(all_memories),
123 | "output_file": str(output_file),
124 | "file_size_bytes": file_size,
125 | "source_machine": self.machine_name,
126 | "export_timestamp": export_metadata["export_timestamp"]
127 | }
128 |
129 | async def _get_filtered_memories(self, filter_tags: Optional[List[str]]) -> List[Memory]:
130 | """Get memories with optional tag filtering."""
131 | if not filter_tags:
132 | # Get all memories
133 | return await self.storage.get_all_memories()
134 |
135 | # Filter by tags if specified
136 | filtered_memories = []
137 | all_memories = await self.storage.get_all_memories()
138 |
139 | for memory in all_memories:
140 | if any(tag in memory.tags for tag in filter_tags):
141 | filtered_memories.append(memory)
142 |
143 | return filtered_memories
144 |
145 | async def _memory_to_dict(self, memory: Memory, include_embeddings: bool) -> Dict[str, Any]:
146 | """Convert a Memory object to a dictionary for JSON export."""
147 | memory_dict = {
148 | "content": memory.content,
149 | "content_hash": memory.content_hash,
150 | "tags": memory.tags,
151 | "created_at": memory.created_at, # Preserve original timestamp
152 | "updated_at": memory.updated_at,
153 | "memory_type": memory.memory_type,
154 | "metadata": memory.metadata or {},
155 | "export_source": self.machine_name
156 | }
157 |
158 | # Add embedding if requested and available
159 | if include_embeddings and hasattr(memory, 'embedding') and memory.embedding:
160 | memory_dict["embedding"] = memory.embedding.tolist() if hasattr(memory.embedding, 'tolist') else memory.embedding
161 |
162 | return memory_dict
163 |
164 | async def export_summary(self) -> Dict[str, Any]:
165 | """
166 | Get a summary of what would be exported without actually exporting.
167 |
168 | Returns:
169 | Summary statistics about the memories in the database
170 | """
171 | all_memories = await self.storage.get_all_memories()
172 |
173 | # Analyze tags
174 | tag_counts = {}
175 | memory_types = {}
176 | date_range = {"earliest": None, "latest": None}
177 |
178 | for memory in all_memories:
179 | # Count tags
180 | for tag in memory.tags:
181 | tag_counts[tag] = tag_counts.get(tag, 0) + 1
182 |
183 | # Count memory types
184 | memory_types[memory.memory_type] = memory_types.get(memory.memory_type, 0) + 1
185 |
186 | # Track date range
187 | if date_range["earliest"] is None or memory.created_at < date_range["earliest"]:
188 | date_range["earliest"] = memory.created_at
189 | if date_range["latest"] is None or memory.created_at > date_range["latest"]:
190 | date_range["latest"] = memory.created_at
191 |
192 | return {
193 | "total_memories": len(all_memories),
194 | "machine_name": self.machine_name,
195 | "tag_counts": dict(sorted(tag_counts.items(), key=lambda x: x[1], reverse=True)),
196 | "memory_types": memory_types,
197 | "date_range": date_range,
198 | "estimated_json_size_mb": len(all_memories) * 0.001 # Rough estimate
199 | }
```
--------------------------------------------------------------------------------
/scripts/testing/test_memory_api.py:
--------------------------------------------------------------------------------
```python
1 | #!/usr/bin/env python3
2 | # Copyright 2024 Heinrich Krupp
3 | #
4 | # Licensed under the Apache License, Version 2.0 (the "License");
5 | # you may not use this file except in compliance with the License.
6 | # You may obtain a copy of the License at
7 | #
8 | # http://www.apache.org/licenses/LICENSE-2.0
9 | #
10 | # Unless required by applicable law or agreed to in writing, software
11 | # distributed under the License is distributed on an "AS IS" BASIS,
12 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 | # See the License for the specific language governing permissions and
14 | # limitations under the License.
15 |
16 | """
17 | Test script for memory CRUD operations via HTTP API.
18 |
19 | This script tests the basic memory operations to ensure they work correctly.
20 | """
21 |
22 | import asyncio
23 | import aiohttp
24 | import json
25 | import time
26 | from typing import Dict, Any
27 |
28 | BASE_URL = "http://localhost:8000"
29 |
30 | async def test_memory_crud():
31 | """Test the complete CRUD workflow for memories."""
32 |
33 | async with aiohttp.ClientSession() as session:
34 | print("Testing Memory CRUD Operations")
35 | print("=" * 50)
36 |
37 | # Test 1: Health check
38 | print("\n[1] Testing health check...")
39 | try:
40 | async with session.get(f"{BASE_URL}/api/health") as resp:
41 | if resp.status == 200:
42 | health = await resp.json()
43 | print(f"[PASS] Health check passed: {health['status']}")
44 | else:
45 | print(f"[FAIL] Health check failed: {resp.status}")
46 | return
47 | except Exception as e:
48 | print(f"[FAIL] Cannot connect to server: {e}")
49 | print("NOTE: Make sure the server is running with: python scripts/run_http_server.py")
50 | return
51 |
52 | # Test 2: Store a memory
53 | print("\n[2] Testing memory storage...")
54 | test_memory = {
55 | "content": "This is a test memory for CRUD operations",
56 | "tags": ["test", "crud", "api"],
57 | "memory_type": "test",
58 | "metadata": {"test_run": time.time(), "importance": "high"}
59 | }
60 |
61 | try:
62 | async with session.post(
63 | f"{BASE_URL}/api/memories",
64 | json=test_memory,
65 | headers={"Content-Type": "application/json"}
66 | ) as resp:
67 | if resp.status == 200:
68 | result = await resp.json()
69 | if result["success"]:
70 | content_hash = result["content_hash"]
71 | print(f"[PASS] Memory stored successfully")
72 | print(f" Content hash: {content_hash[:16]}...")
73 | print(f" Message: {result['message']}")
74 | else:
75 | print(f"[FAIL] Memory storage failed: {result['message']}")
76 | return
77 | else:
78 | print(f"[FAIL] Memory storage failed: {resp.status}")
79 | error = await resp.text()
80 | print(f" Error: {error}")
81 | return
82 | except Exception as e:
83 | print(f"[FAIL] Memory storage error: {e}")
84 | return
85 |
86 | # Test 3: List memories
87 | print("\n[3] Testing memory listing...")
88 | try:
89 | async with session.get(f"{BASE_URL}/api/memories?page=1&page_size=5") as resp:
90 | if resp.status == 200:
91 | result = await resp.json()
92 | memories = result["memories"]
93 | print(f"✅ Retrieved {len(memories)} memories")
94 | print(f" Total memories: {result['total']}")
95 | print(f" Page: {result['page']}, Has more: {result['has_more']}")
96 |
97 | if memories:
98 | print(f" First memory preview: {memories[0]['content'][:50]}...")
99 | else:
100 | print(f"❌ Memory listing failed: {resp.status}")
101 | error = await resp.text()
102 | print(f" Error: {error}")
103 | except Exception as e:
104 | print(f"❌ Memory listing error: {e}")
105 |
106 | # Test 4: Get specific memory
107 | print("\n4️⃣ Testing specific memory retrieval...")
108 | try:
109 | async with session.get(f"{BASE_URL}/api/memories/{content_hash}") as resp:
110 | if resp.status == 200:
111 | memory = await resp.json()
112 | print(f"✅ Retrieved specific memory")
113 | print(f" Content: {memory['content'][:50]}...")
114 | print(f" Tags: {memory['tags']}")
115 | print(f" Type: {memory['memory_type']}")
116 | elif resp.status == 404:
117 | print(f"⚠️ Memory not found (this might be expected if get-by-hash isn't implemented)")
118 | else:
119 | print(f"❌ Memory retrieval failed: {resp.status}")
120 | error = await resp.text()
121 | print(f" Error: {error}")
122 | except Exception as e:
123 | print(f"❌ Memory retrieval error: {e}")
124 |
125 | # Test 5: Filter by tag
126 | print("\n5️⃣ Testing tag filtering...")
127 | try:
128 | async with session.get(f"{BASE_URL}/api/memories?tag=test") as resp:
129 | if resp.status == 200:
130 | result = await resp.json()
131 | memories = result["memories"]
132 | print(f"✅ Retrieved {len(memories)} memories with tag 'test'")
133 | if memories:
134 | for memory in memories[:2]: # Show first 2
135 | print(f" - {memory['content'][:40]}... (tags: {memory['tags']})")
136 | else:
137 | print(f"❌ Tag filtering failed: {resp.status}")
138 | except Exception as e:
139 | print(f"❌ Tag filtering error: {e}")
140 |
141 | # Test 6: Delete memory
142 | print("\n6️⃣ Testing memory deletion...")
143 | try:
144 | async with session.delete(f"{BASE_URL}/api/memories/{content_hash}") as resp:
145 | if resp.status == 200:
146 | result = await resp.json()
147 | if result["success"]:
148 | print(f"✅ Memory deleted successfully")
149 | print(f" Message: {result['message']}")
150 | else:
151 | print(f"❌ Memory deletion failed: {result['message']}")
152 | else:
153 | print(f"❌ Memory deletion failed: {resp.status}")
154 | error = await resp.text()
155 | print(f" Error: {error}")
156 | except Exception as e:
157 | print(f"❌ Memory deletion error: {e}")
158 |
159 | # Test 7: Verify deletion
160 | print("\n7️⃣ Verifying memory deletion...")
161 | try:
162 | async with session.get(f"{BASE_URL}/api/memories/{content_hash}") as resp:
163 | if resp.status == 404:
164 | print(f"✅ Memory successfully deleted (404 as expected)")
165 | elif resp.status == 200:
166 | print(f"⚠️ Memory still exists after deletion")
167 | else:
168 | print(f"❓ Unexpected response: {resp.status}")
169 | except Exception as e:
170 | print(f"❌ Deletion verification error: {e}")
171 |
172 | print("\n" + "=" * 50)
173 | print("🎉 Memory CRUD testing completed!")
174 |
175 |
176 | if __name__ == "__main__":
177 | asyncio.run(test_memory_crud())
```
--------------------------------------------------------------------------------
/docs/first-time-setup.md:
--------------------------------------------------------------------------------
```markdown
1 | # First-Time Setup Guide
2 |
3 | This guide explains what to expect when running MCP Memory Service for the first time.
4 |
5 | ## 🎯 What to Expect on First Run
6 |
7 | When you start the MCP Memory Service for the first time, you'll see several warnings and messages. **This is completely normal behavior** as the service initializes and downloads necessary components.
8 |
9 | ## 📋 Normal First-Time Warnings
10 |
11 | ### 1. Snapshots Directory Warning
12 | ```
13 | WARNING:mcp_memory_service.storage.sqlite_vec:Failed to load from cache: No snapshots directory
14 | ```
15 |
16 | **What it means:**
17 | - The service is checking for previously downloaded embedding models
18 | - On first run, no cache exists yet, so this warning appears
19 | - The service will automatically download the model
20 |
21 | **This is normal:** ✅ Expected on first run
22 |
23 | ### 2. TRANSFORMERS_CACHE Warning
24 | ```
25 | WARNING: Using TRANSFORMERS_CACHE is deprecated
26 | ```
27 |
28 | **What it means:**
29 | - This is an informational warning from the Hugging Face library
30 | - It doesn't affect the service functionality
31 | - The service handles caching internally
32 |
33 | **This is normal:** ✅ Can be safely ignored
34 |
35 | ### 3. Model Download Progress
36 | ```
37 | Downloading model 'all-MiniLM-L6-v2'...
38 | ```
39 |
40 | **What it means:**
41 | - The service is downloading the embedding model (approximately 25MB)
42 | - This happens only once on first setup
43 | - Download time: 1-2 minutes on average internet connection
44 |
45 | **This is normal:** ✅ One-time download
46 |
47 | ## 🚦 Success Indicators
48 |
49 | After successful first-time setup, you should see:
50 |
51 | ```
52 | INFO: SQLite-vec storage initialized successfully with embedding dimension: 384
53 | INFO: Memory service started on port 8443
54 | INFO: Ready to accept connections
55 | ```
56 |
57 | ## 📊 First-Time Setup Timeline
58 |
59 | | Step | Duration | What's Happening |
60 | |------|----------|-----------------|
61 | | 1. Service Start | Instant | Loading configuration |
62 | | 2. Cache Check | 1-2 seconds | Checking for existing models |
63 | | 3. Model Download | 1-2 minutes | Downloading embedding model (~25MB) |
64 | | 4. Model Loading | 5-10 seconds | Loading model into memory |
65 | | 5. Database Init | 2-3 seconds | Creating database structure |
66 | | 6. Ready | - | Service is ready to use |
67 |
68 | **Total first-time setup:** 2-3 minutes
69 |
70 | ## 🔄 Subsequent Runs
71 |
72 | After the first successful run:
73 | - No download warnings will appear
74 | - Model loads from cache (5-10 seconds)
75 | - Service starts much faster (10-15 seconds total)
76 |
77 | ## 🐍 Python 3.13 Compatibility
78 |
79 | ### Known Issues
80 | Python 3.13 users may encounter installation issues with **sqlite-vec** due to missing pre-built wheels. The installer now includes automatic fallback methods:
81 |
82 | 1. **Automatic Retry Logic**: Tries multiple installation strategies
83 | 2. **Source Building**: Attempts to build from source if wheels unavailable
84 | 3. **GitHub Installation**: Falls back to installing directly from repository
85 | 4. **Backend Switching**: Option to switch to ChromaDB if sqlite-vec fails
86 |
87 | ### Recommended Solutions
88 | If you encounter sqlite-vec installation failures on Python 3.13:
89 |
90 | **Option 1: Use Python 3.12 (Recommended)**
91 | ```bash
92 | # macOS
93 | brew install [email protected]
94 | python3.12 -m venv .venv
95 | source .venv/bin/activate
96 | python install.py
97 |
98 | # Ubuntu/Linux
99 | sudo apt install python3.12 python3.12-venv
100 | python3.12 -m venv .venv
101 | source .venv/bin/activate
102 | python install.py
103 | ```
104 |
105 | **Option 2: Use ChromaDB Backend**
106 | ```bash
107 | python install.py --storage-backend chromadb
108 | ```
109 |
110 | **Option 3: Manual sqlite-vec Installation**
111 | ```bash
112 | # Try building from source
113 | pip install --no-binary :all: sqlite-vec
114 |
115 | # Or install from GitHub
116 | pip install git+https://github.com/asg017/sqlite-vec.git#subdirectory=python
117 | ```
118 |
119 | ## 🍎 macOS SQLite Extension Issues
120 |
121 | ### Problem: `AttributeError: 'sqlite3.Connection' object has no attribute 'enable_load_extension'`
122 |
123 | This error occurs on **macOS with system Python** because it's not compiled with SQLite extension support.
124 |
125 | **Why this happens:**
126 | - macOS system Python lacks `--enable-loadable-sqlite-extensions`
127 | - The bundled SQLite library doesn't support loadable extensions
128 | - This is a security-focused default configuration
129 |
130 | **Solutions:**
131 |
132 | **Option 1: Homebrew Python (Recommended)**
133 | ```bash
134 | # Install Python via Homebrew (includes extension support)
135 | brew install python
136 | hash -r # Refresh command cache
137 | python3 --version # Verify you're using Homebrew Python
138 |
139 | # Then install MCP Memory Service
140 | python3 install.py
141 | ```
142 |
143 | **Option 2: pyenv with Extension Support**
144 | ```bash
145 | # Install pyenv if not already installed
146 | brew install pyenv
147 |
148 | # Install Python with extension support
149 | PYTHON_CONFIGURE_OPTS="--enable-loadable-sqlite-extensions" pyenv install 3.12.0
150 | pyenv local 3.12.0
151 |
152 | # Verify extension support
153 | python3 -c "import sqlite3; conn=sqlite3.connect(':memory:'); conn.enable_load_extension(True); print('Extensions supported!')"
154 | ```
155 |
156 | **Option 3: Use ChromaDB Backend**
157 | ```bash
158 | # ChromaDB doesn't require SQLite extensions
159 | python3 install.py --storage-backend chromadb
160 | ```
161 |
162 | ### Verification
163 | Check if your Python supports extensions:
164 | ```bash
165 | python3 -c "
166 | import sqlite3
167 | conn = sqlite3.connect(':memory:')
168 | print('✅ Extension support available' if hasattr(conn, 'enable_load_extension') else '❌ No extension support')
169 | "
170 | ```
171 |
172 | ## 🐧 Ubuntu/Linux Specific Notes
173 |
174 | For Ubuntu 24 and other Linux distributions:
175 |
176 | ### Prerequisites
177 | ```bash
178 | # System dependencies
179 | sudo apt update
180 | sudo apt install python3.10 python3.10-venv python3.10-dev python3-pip
181 | sudo apt install build-essential libblas3 liblapack3 liblapack-dev libblas-dev gfortran
182 | ```
183 |
184 | ### Recommended Setup
185 | ```bash
186 | # Create virtual environment
187 | python3 -m venv venv
188 | source venv/bin/activate
189 |
190 | # Install the service
191 | python install.py
192 |
193 | # Start the service
194 | uv run memory server
195 | ```
196 |
197 | ## 🔧 Troubleshooting First-Time Issues
198 |
199 | ### Issue: Download Fails
200 | **Solution:**
201 | - Check internet connection
202 | - Verify firewall/proxy settings
203 | - Clear cache and retry: `rm -rf ~/.cache/huggingface`
204 |
205 | ### Issue: "No module named 'sentence_transformers'"
206 | **Solution:**
207 | ```bash
208 | pip install sentence-transformers torch
209 | ```
210 |
211 | ### Issue: Permission Denied
212 | **Solution:**
213 | ```bash
214 | # Fix permissions
215 | chmod +x scripts/*.sh
216 | sudo chown -R $USER:$USER ~/.mcp_memory_service/
217 | ```
218 |
219 | ### Issue: Service Doesn't Start After Download
220 | **Solution:**
221 | 1. Check logs: `uv run memory server --debug`
222 | 2. Verify installation: `python scripts/verify_environment.py`
223 | 3. Restart with clean state:
224 | ```bash
225 | rm -rf ~/.mcp_memory_service
226 | uv run memory server
227 | ```
228 |
229 | ## ✅ Verification
230 |
231 | To verify successful setup:
232 |
233 | ```bash
234 | # Check service health
235 | curl -k https://localhost:8443/api/health
236 |
237 | # Or using the CLI
238 | uv run memory health
239 | ```
240 |
241 | Expected response:
242 | ```json
243 | {
244 | "status": "healthy",
245 | "storage_backend": "sqlite_vec",
246 | "model_loaded": true
247 | }
248 | ```
249 |
250 | ## 🎉 Setup Complete!
251 |
252 | Once you see the success indicators and the warnings have disappeared on subsequent runs, your MCP Memory Service is fully operational and ready to use!
253 |
254 | ### Next Steps:
255 | - [Configure Claude Desktop](../README.md#claude-desktop-integration)
256 | - [Store your first memory](../README.md#basic-usage)
257 | - [Explore the API](https://github.com/doobidoo/mcp-memory-service/wiki)
258 |
259 | ## 📝 Notes
260 |
261 | - The model download is a one-time operation
262 | - Downloaded models are cached in `~/.cache/huggingface/`
263 | - The service creates a database in `~/.mcp_memory_service/`
264 | - All warnings shown during first-time setup are expected behavior
265 | - If you see different errors (not warnings), check the [Troubleshooting Guide](troubleshooting/general.md)
266 |
267 | ---
268 |
269 | Remember: **First-time warnings are normal!** The service is working correctly and setting itself up for optimal performance.
```
--------------------------------------------------------------------------------
/tests/performance/test_hybrid_live.py:
--------------------------------------------------------------------------------
```python
1 | #!/usr/bin/env python3
2 | """
3 | Live performance test of the hybrid storage backend implementation.
4 | Demonstrates performance, functionality, and sync capabilities under load.
5 | """
6 |
7 | import asyncio
8 | import sys
9 | import time
10 | import tempfile
11 | import os
12 | from pathlib import Path
13 |
14 | # Add src to path for standalone execution
15 | sys.path.insert(0, str(Path(__file__).parent.parent.parent / 'src'))
16 |
17 | from mcp_memory_service.storage.hybrid import HybridMemoryStorage
18 | from mcp_memory_service.models.memory import Memory
19 | import hashlib
20 |
21 | async def test_hybrid_storage():
22 | """Test the hybrid storage implementation with live demonstrations."""
23 |
24 | print("🚀 Testing Hybrid Storage Backend")
25 | print("=" * 50)
26 |
27 | # Create a temporary SQLite database for testing
28 | with tempfile.NamedTemporaryFile(suffix='.db', delete=False) as tmp_file:
29 | db_path = tmp_file.name
30 |
31 | try:
32 | # Initialize hybrid storage (without Cloudflare for this demo)
33 | print("📍 Step 1: Initializing Hybrid Storage")
34 | storage = HybridMemoryStorage(
35 | sqlite_db_path=db_path,
36 | embedding_model="all-MiniLM-L6-v2",
37 | cloudflare_config=None, # Will operate in SQLite-only mode
38 | sync_interval=30, # Short interval for demo
39 | batch_size=5
40 | )
41 |
42 | print(" Initializing storage backend...")
43 | await storage.initialize()
44 | print(f" ✅ Storage initialized")
45 | print(f" 📊 Primary: {storage.primary.__class__.__name__}")
46 | print(f" 📊 Secondary: {storage.secondary.__class__.__name__ if storage.secondary else 'None (SQLite-only mode)'}")
47 | print(f" 📊 Sync Service: {'Running' if storage.sync_service and storage.sync_service.is_running else 'Disabled'}")
48 | print()
49 |
50 | # Test 1: Performance measurement
51 | print("📍 Step 2: Performance Test")
52 | memories_to_test = []
53 |
54 | for i in range(5):
55 | content = f"Performance test memory #{i+1} - testing hybrid storage speed"
56 | content_hash = hashlib.sha256(content.encode()).hexdigest()
57 |
58 | memory = Memory(
59 | content=content,
60 | content_hash=content_hash,
61 | tags=["hybrid", "test", f"batch_{i}"],
62 | memory_type="performance_test",
63 | metadata={"test_batch": i, "test_type": "performance"},
64 | created_at=time.time()
65 | )
66 | memories_to_test.append(memory)
67 |
68 | # Measure write performance
69 | print(" Testing write performance...")
70 | write_times = []
71 | for i, memory in enumerate(memories_to_test):
72 | start_time = time.time()
73 | success, message = await storage.store(memory)
74 | duration = time.time() - start_time
75 | write_times.append(duration)
76 |
77 | if success:
78 | print(f" ✅ Write #{i+1}: {duration*1000:.1f}ms")
79 | else:
80 | print(f" ❌ Write #{i+1} failed: {message}")
81 |
82 | avg_write_time = sum(write_times) / len(write_times)
83 | print(f" 📊 Average write time: {avg_write_time*1000:.1f}ms")
84 | print()
85 |
86 | # Test 2: Read performance
87 | print("📍 Step 3: Read Performance Test")
88 | read_times = []
89 |
90 | for i in range(3):
91 | start_time = time.time()
92 | results = await storage.retrieve("performance test", n_results=5)
93 | duration = time.time() - start_time
94 | read_times.append(duration)
95 |
96 | print(f" ✅ Read #{i+1}: {duration*1000:.1f}ms ({len(results)} results)")
97 |
98 | avg_read_time = sum(read_times) / len(read_times)
99 | print(f" 📊 Average read time: {avg_read_time*1000:.1f}ms")
100 | print()
101 |
102 | # Test 3: Different operations
103 | print("📍 Step 4: Testing Various Operations")
104 |
105 | # Search by tags
106 | start_time = time.time()
107 | tagged_memories = await storage.search_by_tags(["hybrid"])
108 | tag_search_time = time.time() - start_time
109 | print(f" ✅ Tag search: {tag_search_time*1000:.1f}ms ({len(tagged_memories)} results)")
110 |
111 | # Get stats
112 | start_time = time.time()
113 | stats = await storage.get_stats()
114 | stats_time = time.time() - start_time
115 | print(f" ✅ Stats retrieval: {stats_time*1000:.1f}ms")
116 | print(f" - Backend: {stats.get('storage_backend')}")
117 | print(f" - Total memories: {stats.get('total_memories', 0)}")
118 | print(f" - Sync enabled: {stats.get('sync_enabled', False)}")
119 |
120 | # Test delete
121 | if memories_to_test:
122 | test_memory = memories_to_test[0]
123 | start_time = time.time()
124 | success, message = await storage.delete(test_memory.content_hash)
125 | delete_time = time.time() - start_time
126 | print(f" ✅ Delete operation: {delete_time*1000:.1f}ms ({'Success' if success else 'Failed'})")
127 |
128 | print()
129 |
130 | # Test 4: Concurrent operations
131 | print("📍 Step 5: Concurrent Operations Test")
132 |
133 | async def store_memory(content_suffix):
134 | content = f"Concurrent test memory {content_suffix}"
135 | content_hash = hashlib.sha256(content.encode()).hexdigest()
136 |
137 | memory = Memory(
138 | content=content,
139 | content_hash=content_hash,
140 | tags=["concurrent", "hybrid"],
141 | memory_type="concurrent_test",
142 | metadata={"test_id": content_suffix},
143 | created_at=time.time()
144 | )
145 | return await storage.store(memory)
146 |
147 | start_time = time.time()
148 | concurrent_tasks = [store_memory(i) for i in range(10)]
149 | results = await asyncio.gather(*concurrent_tasks)
150 | concurrent_time = time.time() - start_time
151 |
152 | successful_ops = sum(1 for success, _ in results if success)
153 | print(f" ✅ Concurrent operations: {concurrent_time*1000:.1f}ms")
154 | print(f" - Operations: 10 concurrent stores")
155 | print(f" - Successful: {successful_ops}/10")
156 | print(f" - Avg per operation: {(concurrent_time/10)*1000:.1f}ms")
157 | print()
158 |
159 | # Final stats
160 | print("📍 Step 6: Final Statistics")
161 | final_stats = await storage.get_stats()
162 | print(f" 📊 Total memories stored: {final_stats.get('total_memories', 0)}")
163 | print(f" 📊 Storage backend: {final_stats.get('storage_backend')}")
164 |
165 | if storage.sync_service:
166 | sync_status = await storage.sync_service.get_sync_status()
167 | print(f" 📊 Sync queue size: {sync_status.get('queue_size', 0)}")
168 | print(f" 📊 Operations processed: {sync_status.get('stats', {}).get('operations_processed', 0)}")
169 |
170 | print()
171 | print("🎉 Hybrid Storage Test Complete!")
172 | print("=" * 50)
173 |
174 | # Performance summary
175 | print("📊 PERFORMANCE SUMMARY:")
176 | print(f" • Average Write: {avg_write_time*1000:.1f}ms")
177 | print(f" • Average Read: {avg_read_time*1000:.1f}ms")
178 | print(f" • Tag Search: {tag_search_time*1000:.1f}ms")
179 | print(f" • Stats Query: {stats_time*1000:.1f}ms")
180 | print(f" • Delete Op: {delete_time*1000:.1f}ms")
181 | print(f" • Concurrent: {(concurrent_time/10)*1000:.1f}ms per op")
182 |
183 | # Cleanup
184 | await storage.close()
185 |
186 | finally:
187 | # Clean up temp file
188 | if os.path.exists(db_path):
189 | os.unlink(db_path)
190 |
191 | if __name__ == "__main__":
192 | print("🚀 Hybrid Storage Live Demo")
193 | print("Testing the new hybrid backend implementation...")
194 | print()
195 |
196 | # Run the async test
197 | asyncio.run(test_hybrid_storage())
```
--------------------------------------------------------------------------------
/.github/workflows/publish-and-test.yml:
--------------------------------------------------------------------------------
```yaml
1 | name: Publish and Test (Tags)
2 |
3 | on:
4 | push:
5 | tags:
6 | - 'v*.*.*'
7 | workflow_dispatch:
8 |
9 | jobs:
10 | test-uvx-compatibility:
11 | runs-on: ubuntu-latest
12 | name: Test uvx compatibility
13 |
14 | steps:
15 | - name: Checkout repository
16 | uses: actions/checkout@v4
17 |
18 | - name: Set up Python
19 | uses: actions/setup-python@v4
20 | with:
21 | python-version: '3.11'
22 |
23 | - name: Install uv
24 | run: |
25 | curl -LsSf https://astral.sh/uv/install.sh | sh
26 | source $HOME/.cargo/env
27 |
28 | - name: Install package locally
29 | run: |
30 | source $HOME/.cargo/env
31 | uv pip install --system -e .
32 |
33 | - name: Test entry point
34 | run: |
35 | python -c "import mcp_memory_service.server; print('✓ Package can be imported')"
36 | python -m mcp_memory_service.server --version
37 |
38 | - name: Test uvx functionality
39 | run: |
40 | source $HOME/.cargo/env
41 | # uvx is now part of uv itself, no separate installation needed
42 | uv --version
43 |
44 | # Build wheel for uvx testing
45 | uv build
46 |
47 | # Test if uvx command is available
48 | which uvx || echo "uvx command provided by uv"
49 |
50 | # Test package structure compatibility
51 | echo "✓ Package structure compatible with uvx"
52 |
53 | test-docker-build:
54 | runs-on: ubuntu-latest
55 | name: Test Docker build
56 |
57 | steps:
58 | - name: Checkout repository
59 | uses: actions/checkout@v4
60 |
61 | - name: Set up Docker Buildx
62 | uses: docker/setup-buildx-action@v3
63 |
64 | - name: Debug - Check required files
65 | run: |
66 | echo "=== Checking required files for Docker build ==="
67 | echo "Dockerfile exists:" && ls -la tools/docker/Dockerfile
68 | echo "Source directory exists:" && ls -la src/
69 | echo "Entrypoint scripts exist:" && ls -la tools/docker/docker-entrypoint*.sh
70 | echo "Utils scripts exist:" && ls -la scripts/utils/
71 | echo "pyproject.toml exists:" && ls -la pyproject.toml
72 | echo "uv.lock exists:" && ls -la uv.lock
73 |
74 | - name: Build Docker image
75 | uses: docker/build-push-action@v5
76 | with:
77 | context: .
78 | file: ./tools/docker/Dockerfile
79 | platforms: linux/amd64
80 | push: false
81 | load: true
82 | tags: mcp-memory-service:test
83 | cache-from: type=gha
84 | cache-to: type=gha,mode=max
85 | build-args: |
86 | SKIP_MODEL_DOWNLOAD=true
87 |
88 | - name: Test Docker image
89 | run: |
90 | # Test image can be created (override entrypoint to run python directly)
91 | docker run --rm --entrypoint="" mcp-memory-service:test python -c "print('✓ Docker image works')"
92 |
93 | # Test that the server can show help
94 | docker run --rm mcp-memory-service:test --help > /dev/null && echo "✓ Server help works"
95 |
96 | publish-docker:
97 | needs: [test-uvx-compatibility, test-docker-build]
98 | runs-on: ubuntu-latest
99 | name: Publish Docker image
100 | if: github.event_name != 'pull_request'
101 | permissions:
102 | contents: read
103 | packages: write
104 | id-token: write
105 |
106 | steps:
107 | - name: Checkout repository
108 | uses: actions/checkout@v4
109 |
110 | - name: Set up Docker Buildx
111 | uses: docker/setup-buildx-action@v3
112 |
113 | - name: Debug - Check required files for GHCR build
114 | run: |
115 | echo "=== Checking required files for GHCR Docker build ==="
116 | echo "Dockerfile exists:" && ls -la tools/docker/Dockerfile
117 | echo "Source directory exists:" && ls -la src/
118 | echo "Entrypoint scripts exist:" && ls -la tools/docker/docker-entrypoint*.sh
119 | echo "Utils scripts exist:" && ls -la scripts/utils/
120 | echo "pyproject.toml exists:" && ls -la pyproject.toml
121 | echo "uv.lock exists:" && ls -la uv.lock
122 |
123 | - name: Log in to GitHub Container Registry
124 | uses: docker/login-action@v3
125 | with:
126 | registry: ghcr.io
127 | username: ${{ github.actor }}
128 | password: ${{ secrets.GITHUB_TOKEN }}
129 |
130 | - name: Extract metadata
131 | id: meta
132 | uses: docker/metadata-action@v5
133 | with:
134 | images: ghcr.io/doobidoo/mcp-memory-service
135 | tags: |
136 | type=ref,event=branch
137 | type=semver,pattern={{version}}
138 | type=semver,pattern={{major}}.{{minor}}
139 | type=semver,pattern={{major}}
140 | type=raw,value=latest,enable={{is_default_branch}}
141 |
142 | - name: Build and push Docker image
143 | uses: docker/build-push-action@v5
144 | with:
145 | context: .
146 | file: ./tools/docker/Dockerfile
147 | platforms: linux/amd64,linux/arm64
148 | push: true
149 | tags: ${{ steps.meta.outputs.tags }}
150 | labels: ${{ steps.meta.outputs.labels }}
151 | cache-from: type=gha
152 | cache-to: type=gha,mode=max
153 | build-args: |
154 | SKIP_MODEL_DOWNLOAD=true
155 | outputs: type=registry
156 |
157 | publish-pypi:
158 | needs: [test-uvx-compatibility, test-docker-build]
159 | runs-on: ubuntu-latest
160 | name: Publish to PyPI
161 | if: github.event_name != 'pull_request'
162 | permissions:
163 | id-token: write
164 | contents: read
165 |
166 | steps:
167 | - name: Checkout repository
168 | uses: actions/checkout@v4
169 |
170 | - name: Set up Python
171 | uses: actions/setup-python@v4
172 | with:
173 | python-version: '3.11'
174 |
175 | - name: Install build dependencies
176 | run: |
177 | python -m pip install --upgrade pip
178 | python -m pip install build twine
179 |
180 | - name: Build package
181 | run: python -m build
182 |
183 | - name: Publish to PyPI
184 | env:
185 | TWINE_USERNAME: __token__
186 | TWINE_PASSWORD: ${{ secrets.PYPI_TOKEN }}
187 | run: |
188 | twine upload dist/*
189 |
190 | update-documentation:
191 | needs: [publish-docker, publish-pypi]
192 | runs-on: ubuntu-latest
193 | name: Update documentation
194 | if: github.event_name != 'pull_request'
195 |
196 | steps:
197 | - name: Checkout repository
198 | uses: actions/checkout@v4
199 |
200 | - name: Update README with GitHub Container Registry info
201 | run: |
202 | echo "Docker image published successfully!" >> docker-publish.log
203 | echo "Available at: ghcr.io/doobidoo/mcp-memory-service" >> docker-publish.log
204 |
205 | - name: Create/update installation docs
206 | run: |
207 | mkdir -p docs/installation
208 | cat > docs/installation/github-container-registry.md << 'EOF'
209 | # GitHub Container Registry Installation
210 |
211 | The MCP Memory Service is now available on GitHub Container Registry for easy installation.
212 |
213 | ## Quick Start
214 |
215 | ```bash
216 | # Pull the latest image
217 | docker pull ghcr.io/doobidoo/mcp-memory-service:latest
218 |
219 | # Run with default settings
220 | docker run -d -p 8000:8000 \
221 | -v $(pwd)/data/chroma_db:/app/chroma_db \
222 | -v $(pwd)/data/backups:/app/backups \
223 | ghcr.io/doobidoo/mcp-memory-service:latest
224 |
225 | # Run in standalone mode
226 | docker run -d -p 8000:8000 \
227 | -e MCP_STANDALONE_MODE=1 \
228 | -v $(pwd)/data/chroma_db:/app/chroma_db \
229 | -v $(pwd)/data/backups:/app/backups \
230 | ghcr.io/doobidoo/mcp-memory-service:latest
231 | ```
232 |
233 | ## Available Tags
234 |
235 | - `latest` - Latest stable release
236 | - `main` - Latest development version
237 | - `v*.*.*` - Specific version tags
238 |
239 | ## uvx Installation
240 |
241 | You can also install using uvx (included with uv):
242 |
243 | ```bash
244 | # Install uv if not already installed
245 | pip install uv
246 | # Or use the installer script:
247 | # curl -LsSf https://astral.sh/uv/install.sh | sh
248 |
249 | # Install and run the memory service with uvx
250 | uvx mcp-memory-service
251 | ```
252 | EOF
```
--------------------------------------------------------------------------------
/docs/research/code-execution-interface-summary.md:
--------------------------------------------------------------------------------
```markdown
1 | # Code Execution Interface - Executive Summary
2 | ## Issue #206 Implementation Guide
3 |
4 | **TL;DR:** Implement Python code API to reduce token consumption by 90-95% while maintaining full backward compatibility. Start with session hooks (75% reduction, 109M+ tokens saved annually).
5 |
6 | ---
7 |
8 | ## The Problem
9 |
10 | Current MCP tool-based architecture consumes excessive tokens:
11 | - **Session hooks:** 3,600-9,600 tokens per session start
12 | - **Search operations:** 2,625 tokens for 5 results
13 | - **Document ingestion:** 57,400 tokens for 50 PDFs
14 | - **Annual waste:** 17-379 million tokens across user base
15 |
16 | ## The Solution
17 |
18 | Replace verbose MCP tool calls with direct Python code execution:
19 |
20 | ```python
21 | # Before (625 tokens)
22 | result = await mcp.call_tool('retrieve_memory', {
23 | 'query': 'architecture decisions',
24 | 'limit': 5,
25 | 'similarity_threshold': 0.7
26 | })
27 |
28 | # After (25 tokens)
29 | from mcp_memory_service.api import search
30 | results = search('architecture decisions', limit=5)
31 | ```
32 |
33 | ## Key Components
34 |
35 | ### 1. Compact Data Types (91% size reduction)
36 |
37 | ```python
38 | # CompactMemory: 73 tokens vs 820 tokens for full Memory
39 | class CompactMemory(NamedTuple):
40 | hash: str # 8-char hash
41 | preview: str # First 200 chars
42 | tags: tuple[str] # Immutable tags
43 | created: float # Unix timestamp
44 | score: float # Relevance score
45 | ```
46 |
47 | ### 2. Simple API Functions
48 |
49 | ```python
50 | from mcp_memory_service.api import search, store, health
51 |
52 | # Search (20 tokens)
53 | results = search("query", limit=5)
54 |
55 | # Store (15 tokens)
56 | hash = store("content", tags=['note'])
57 |
58 | # Health (5 tokens)
59 | info = health()
60 | ```
61 |
62 | ### 3. Hook Integration
63 |
64 | ```javascript
65 | // Node.js hook with fallback
66 | try {
67 | // Code execution (fast, efficient)
68 | const output = execSync('python -c "from mcp_memory_service.api import search; ..."');
69 | memories = parseCompactResults(output);
70 | } catch (error) {
71 | // Fallback to MCP tools
72 | memories = await mcpClient.retrieve_memory({...});
73 | }
74 | ```
75 |
76 | ## Expected Impact
77 |
78 | | Metric | Current | Target | Improvement |
79 | |--------|---------|--------|-------------|
80 | | Session hooks | 3,600-9,600 tokens | 900-2,400 | **75% reduction** |
81 | | Search (5 results) | 2,625 tokens | 385 | **85% reduction** |
82 | | Store memory | 150 tokens | 15 | **90% reduction** |
83 | | Annual savings (10 users) | - | 109.5M tokens | **$16.43/year** |
84 | | Annual savings (100 users) | - | 2.19B tokens | **$328.50/year** |
85 |
86 | ## Implementation Timeline
87 |
88 | ```
89 | Week 1-2: Core Infrastructure
90 | ├─ Compact types (CompactMemory, CompactSearchResult)
91 | ├─ API functions (search, store, health)
92 | ├─ Tests and benchmarks
93 | └─ Documentation
94 |
95 | Week 3: Session Hook Migration (HIGHEST PRIORITY)
96 | ├─ Update session-start.js
97 | ├─ Add fallback mechanism
98 | ├─ Validate 75% reduction
99 | └─ Deploy to beta
100 |
101 | Week 4-5: Search Operations
102 | ├─ Mid-conversation hooks
103 | ├─ Topic-change hooks
104 | └─ Document best practices
105 |
106 | Week 6+: Polish & Extensions
107 | ```
108 |
109 | ## Technical Architecture
110 |
111 | ### Filesystem Structure
112 | ```
113 | src/mcp_memory_service/
114 | ├── api/ # NEW: Code execution interface
115 | │ ├── __init__.py # Public API exports
116 | │ ├── compact.py # Compact result types
117 | │ ├── search.py # Search operations
118 | │ ├── storage.py # Storage operations
119 | │ └── utils.py # Utilities
120 | ├── models/
121 | │ └── compact.py # NEW: CompactMemory types
122 | └── server.py # EXISTING: MCP server (unchanged)
123 | ```
124 |
125 | ### Key Design Decisions
126 |
127 | 1. **NamedTuple for Compact Types**
128 | - ✅ Fast (C-based), immutable, type-safe
129 | - ✅ 60-90% size reduction
130 | - ✅ Clear field names
131 |
132 | 2. **Sync Wrappers**
133 | - ✅ Hide asyncio complexity
134 | - ✅ Connection reuse
135 | - ✅ <10ms overhead
136 |
137 | 3. **Backward Compatibility**
138 | - ✅ MCP tools continue working
139 | - ✅ Gradual opt-in migration
140 | - ✅ Zero breaking changes
141 |
142 | ## Validation from Research
143 |
144 | ### Industry Alignment
145 | - ✅ **Anthropic (Nov 2025):** Official MCP code execution announcement
146 | - ✅ **CodeAgents Framework:** 70%+ token reduction demonstrated
147 | - ✅ **mcp-python-interpreter:** Proven code execution patterns
148 |
149 | ### Performance Benchmarks
150 | - ✅ **NamedTuple:** 8% faster creation, fastest access
151 | - ✅ **Compact types:** 85-91% token reduction measured
152 | - ✅ **Real-world savings:** 109M+ tokens annually (conservative)
153 |
154 | ## Risk Assessment
155 |
156 | | Risk | Severity | Mitigation |
157 | |------|----------|------------|
158 | | Breaking changes | HIGH | Parallel operation, fallback mechanism |
159 | | Performance degradation | MEDIUM | Benchmarks show <5ms overhead |
160 | | Async/sync mismatch | LOW | Sync wrappers with asyncio.run() |
161 | | Connection management | LOW | Global instance with reuse |
162 | | Error handling | LOW | Expand function for debugging |
163 |
164 | **Overall Risk:** LOW - Incremental approach with proven patterns
165 |
166 | ## Success Criteria
167 |
168 | ### Phase 1 (Core Infrastructure)
169 | - ✅ API functions work in sync context
170 | - ✅ Token reduction ≥85% measured
171 | - ✅ Performance overhead <5ms
172 | - ✅ Unit tests ≥90% coverage
173 |
174 | ### Phase 2 (Session Hooks)
175 | - ✅ Token reduction ≥75% in production
176 | - ✅ Hook execution <500ms
177 | - ✅ Fallback mechanism validates
178 | - ✅ Zero user-reported issues
179 |
180 | ### Phase 3 (Search Operations)
181 | - ✅ Token reduction ≥90%
182 | - ✅ Migration guide complete
183 | - ✅ Community feedback positive
184 |
185 | ## Next Steps
186 |
187 | ### Immediate Actions (This Week)
188 | 1. Create `src/mcp_memory_service/api/` directory structure
189 | 2. Implement `CompactMemory` and `CompactSearchResult` types
190 | 3. Write `search()`, `store()`, `health()` functions
191 | 4. Add unit tests with token benchmarks
192 |
193 | ### Priority Tasks
194 | 1. **Session hook migration** - Highest impact (3,600 → 900 tokens)
195 | 2. **Documentation** - API reference with examples
196 | 3. **Beta testing** - Validate with real users
197 | 4. **Metrics collection** - Measure actual token savings
198 |
199 | ## Recommended Reading
200 |
201 | ### Full Research Document
202 | - `docs/research/code-execution-interface-implementation.md`
203 | - Comprehensive analysis (10,000+ words)
204 | - Detailed code examples
205 | - Industry research findings
206 | - Complete implementation guide
207 |
208 | ### Key Sections
209 | 1. **Architecture Recommendations** (Section 3)
210 | 2. **Implementation Examples** (Section 4)
211 | 3. **Migration Approach** (Section 7)
212 | 4. **Success Metrics** (Section 8)
213 |
214 | ---
215 |
216 | ## Quick Reference
217 |
218 | ### Token Savings Calculator
219 |
220 | ```python
221 | # Current MCP approach
222 | tool_schema = 125 tokens
223 | full_memory = 820 tokens per result
224 | total = tool_schema + (full_memory * num_results)
225 |
226 | # Example: 5 results
227 | current = 125 + (820 * 5) = 4,225 tokens
228 |
229 | # Code execution approach
230 | import_cost = 10 tokens (once)
231 | compact_memory = 73 tokens per result
232 | total = import_cost + (compact_memory * num_results)
233 |
234 | # Example: 5 results
235 | new = 10 + (73 * 5) = 375 tokens
236 |
237 | # Reduction
238 | reduction = (4225 - 375) / 4225 * 100 = 91.1%
239 | ```
240 |
241 | ### Common Patterns
242 |
243 | ```python
244 | # Pattern 1: Simple search
245 | from mcp_memory_service.api import search
246 | results = search("query", limit=5)
247 | for m in results.memories:
248 | print(f"{m.hash}: {m.preview[:50]}")
249 |
250 | # Pattern 2: Tag filtering
251 | from mcp_memory_service.api import search_by_tag
252 | results = search_by_tag(['architecture', 'decision'], limit=10)
253 |
254 | # Pattern 3: Store with fallback
255 | from mcp_memory_service.api import store
256 | try:
257 | hash = store("content", tags=['note'])
258 | print(f"Stored: {hash}")
259 | except Exception as e:
260 | # Fallback to MCP tool
261 | await mcp_client.store_memory({...})
262 |
263 | # Pattern 4: Health check
264 | from mcp_memory_service.api import health
265 | info = health()
266 | if info.ready:
267 | print(f"Backend: {info.backend}, Count: {info.count}")
268 | ```
269 |
270 | ---
271 |
272 | **Document Version:** 1.0
273 | **Last Updated:** November 6, 2025
274 | **Status:** Ready for Implementation
275 | **Estimated Effort:** 2-3 weeks (Phase 1-2)
276 | **ROI:** 109M+ tokens saved annually (conservative)
277 |
```
--------------------------------------------------------------------------------
/scripts/pr/quality_gate.sh:
--------------------------------------------------------------------------------
```bash
1 | #!/bin/bash
2 | # scripts/pr/quality_gate.sh - Run all quality checks before PR review
3 | #
4 | # Usage: bash scripts/pr/quality_gate.sh <PR_NUMBER> [--with-pyscn]
5 | # Example: bash scripts/pr/quality_gate.sh 123
6 | # Example: bash scripts/pr/quality_gate.sh 123 --with-pyscn # Comprehensive analysis
7 |
8 | set -e
9 |
10 | PR_NUMBER=$1
11 | RUN_PYSCN=false
12 |
13 | # Parse arguments
14 | shift # Remove PR_NUMBER from arguments
15 | while [[ $# -gt 0 ]]; do
16 | case $1 in
17 | --with-pyscn)
18 | RUN_PYSCN=true
19 | shift
20 | ;;
21 | *)
22 | echo "Unknown option: $1"
23 | echo "Usage: $0 <PR_NUMBER> [--with-pyscn]"
24 | exit 1
25 | ;;
26 | esac
27 | done
28 |
29 | if [ -z "$PR_NUMBER" ]; then
30 | echo "Usage: $0 <PR_NUMBER> [--with-pyscn]"
31 | exit 1
32 | fi
33 |
34 | if ! command -v gh &> /dev/null; then
35 | echo "Error: GitHub CLI (gh) is not installed"
36 | exit 1
37 | fi
38 |
39 | if ! command -v gemini &> /dev/null; then
40 | echo "Error: Gemini CLI is not installed"
41 | exit 1
42 | fi
43 |
44 | echo "=== PR Quality Gate for #$PR_NUMBER ==="
45 | echo ""
46 |
47 | exit_code=0
48 | warnings=()
49 | critical_issues=()
50 |
51 | # Get changed Python files
52 | echo "Fetching changed files..."
53 | changed_files=$(gh pr diff $PR_NUMBER --name-only | grep '\.py$' || echo "")
54 |
55 | if [ -z "$changed_files" ]; then
56 | echo "No Python files changed in this PR."
57 | exit 0
58 | fi
59 |
60 | echo "Changed Python files:"
61 | echo "$changed_files"
62 | echo ""
63 |
64 | # Check 1: Code complexity
65 | echo "=== Check 1: Code Complexity ==="
66 | echo "$changed_files" | while IFS= read -r file; do
67 | if [ -z "$file" ]; then
68 | continue
69 | fi
70 |
71 | if [ ! -f "$file" ]; then
72 | echo "Skipping $file (file not found in working directory)"
73 | continue
74 | fi
75 |
76 | echo "Analyzing: $file"
77 | result=$(gemini "Analyze code complexity. Rate each function 1-10 (1=simple, 10=very complex). Report ONLY functions with score >7 in format 'FunctionName: Score X - Reason'. File content:
78 |
79 | $(cat "$file")" 2>&1 || echo "")
80 |
81 | if echo "$result" | grep -qi "score [89]\|score 10"; then
82 | warnings+=("High complexity in $file: $result")
83 | exit_code=1
84 | fi
85 | done
86 | echo ""
87 |
88 | # Check 2: Security scan
89 | echo "=== Check 2: Security Vulnerabilities ==="
90 | echo "$changed_files" | while IFS= read -r file; do
91 | if [ -z "$file" ]; then
92 | continue
93 | fi
94 |
95 | if [ ! -f "$file" ]; then
96 | continue
97 | fi
98 |
99 | echo "Scanning: $file"
100 | # Request machine-parseable output (similar to pre-commit hook)
101 | result=$(gemini "Security audit. Check for: SQL injection (raw SQL), XSS (unescaped HTML), command injection (os.system, subprocess with shell=True), path traversal, hardcoded secrets.
102 |
103 | IMPORTANT: Output format:
104 | - If ANY vulnerability found, start response with: VULNERABILITY_DETECTED: [type]
105 | - If NO vulnerabilities found, start response with: SECURITY_CLEAN
106 | - Then provide details
107 |
108 | File content:
109 | $(cat "$file")" 2>&1 || echo "SECURITY_CLEAN")
110 |
111 | # Check for machine-parseable vulnerability marker (more reliable than grep)
112 | if echo "$result" | grep -q "^VULNERABILITY_DETECTED:"; then
113 | critical_issues+=("🔴 Security issue in $file: $result")
114 | exit_code=2
115 | fi
116 | done
117 | echo ""
118 |
119 | # Check 3: Test coverage
120 | echo "=== Check 3: Test Coverage ==="
121 | test_files=$(gh pr diff $PR_NUMBER --name-only | grep -c '^tests/.*\.py$' || echo "0")
122 | # Count code files directly from changed_files
123 | code_files=$(echo "$changed_files" | grep -c '\.py$' || echo "0")
124 |
125 | if [ $code_files -gt 0 ] && [ $test_files -eq 0 ]; then
126 | warnings+=("No test files added/modified despite $code_files code file(s) changed")
127 | if [ $exit_code -eq 0 ]; then
128 | exit_code=1
129 | fi
130 | fi
131 | echo "Code files changed: $code_files"
132 | echo "Test files changed: $test_files"
133 | echo ""
134 |
135 | # Check 4: Breaking changes
136 | echo "=== Check 4: Breaking Changes ==="
137 | head_branch=$(gh pr view $PR_NUMBER --json headRefName --jq '.headRefName')
138 |
139 | # Get API-related changes
140 | api_changes=$(git diff origin/main...origin/$head_branch -- \
141 | src/mcp_memory_service/tools.py \
142 | src/mcp_memory_service/web/api/ \
143 | 2>/dev/null || echo "")
144 |
145 | if [ ! -z "$api_changes" ]; then
146 | echo "Analyzing API changes..."
147 | # Truncate to 200 lines (increased from 100) to capture more context while preventing overflow
148 | # Note: Large PRs may still lose context, but this is a reasonable trade-off for performance
149 | breaking_result=$(gemini "Analyze for breaking changes. Breaking changes include: removed functions/endpoints, changed signatures (parameters removed/reordered), changed return types, renamed public APIs, changed HTTP paths/methods. Report ONLY if breaking changes found with severity (CRITICAL/HIGH/MEDIUM). Changes:
150 |
151 | $(echo "$api_changes" | head -200)" 2>&1 || echo "")
152 |
153 | if echo "$breaking_result" | grep -qi "breaking\|CRITICAL\|HIGH"; then
154 | warnings+=("⚠️ Potential breaking changes detected: $breaking_result")
155 | if [ $exit_code -eq 0 ]; then
156 | exit_code=1
157 | fi
158 | fi
159 | else
160 | echo "No API changes detected"
161 | fi
162 | echo ""
163 |
164 | # Check 5: pyscn comprehensive analysis (optional)
165 | if [ "$RUN_PYSCN" = true ]; then
166 | echo "=== Check 5: pyscn Comprehensive Analysis ==="
167 |
168 | if command -v pyscn &> /dev/null; then
169 | echo "Running pyscn static analysis..."
170 |
171 | # Run pyscn analysis (will post comment if successful)
172 | if bash scripts/pr/run_pyscn_analysis.sh --pr $PR_NUMBER --threshold 50; then
173 | echo "✅ pyscn analysis passed"
174 | else
175 | echo "⚠️ pyscn analysis found quality issues"
176 | # Note: Don't block on pyscn failures (informational only for now)
177 | # exit_code can be set to 1 here if you want to block on pyscn failures
178 | fi
179 | else
180 | echo "⚠️ pyscn not installed, skipping comprehensive analysis"
181 | echo "Install with: pip install pyscn"
182 | fi
183 | echo ""
184 | fi
185 |
186 | # Report results
187 | echo "=== Quality Gate Summary ==="
188 | echo ""
189 |
190 | if [ $exit_code -eq 0 ]; then
191 | echo "✅ ALL CHECKS PASSED"
192 | echo ""
193 | echo "Quality Gate Results:"
194 | echo "- Code complexity: ✅ OK"
195 | echo "- Security scan: ✅ OK"
196 | echo "- Test coverage: ✅ OK"
197 | echo "- Breaking changes: ✅ None detected"
198 | if [ "$RUN_PYSCN" = true ]; then
199 | echo "- pyscn analysis: ✅ OK (see separate comment)"
200 | fi
201 | echo ""
202 |
203 | pyscn_note=""
204 | if [ "$RUN_PYSCN" = true ]; then
205 | pyscn_note="
206 | - ✅ pyscn comprehensive analysis: See detailed report comment"
207 | fi
208 |
209 | gh pr comment $PR_NUMBER --body "✅ **Quality Gate PASSED**
210 |
211 | All automated checks completed successfully:
212 | - ✅ Code complexity: OK
213 | - ✅ Security scan: OK
214 | - ✅ Test coverage: OK
215 | - ✅ Breaking changes: None detected${pyscn_note}
216 |
217 | PR is ready for Gemini review."
218 |
219 | elif [ $exit_code -eq 2 ]; then
220 | echo "🔴 CRITICAL FAILURES"
221 | echo ""
222 | for issue in "${critical_issues[@]}"; do
223 | echo "$issue"
224 | done
225 | echo ""
226 |
227 | # Format issues for comment
228 | issues_md=$(printf '%s\n' "${critical_issues[@]}" | sed 's/^/- /')
229 |
230 | gh pr comment $PR_NUMBER --body "🔴 **Quality Gate FAILED - CRITICAL**
231 |
232 | Security vulnerabilities detected. PR is blocked until issues are resolved.
233 |
234 | $issues_md
235 |
236 | **Action Required:**
237 | Run \`bash scripts/security/scan_vulnerabilities.sh\` locally and fix all security issues before proceeding."
238 |
239 | else
240 | echo "⚠️ WARNINGS (non-blocking)"
241 | echo ""
242 | for warning in "${warnings[@]}"; do
243 | echo "- $warning"
244 | done
245 | echo ""
246 |
247 | # Format warnings for comment
248 | warnings_md=$(printf '%s\n' "${warnings[@]}" | sed 's/^/- /')
249 |
250 | gh pr comment $PR_NUMBER --body "⚠️ **Quality Gate WARNINGS**
251 |
252 | Some checks require attention (non-blocking):
253 |
254 | $warnings_md
255 |
256 | **Recommendation:**
257 | Consider addressing these issues before requesting review to improve code quality."
258 |
259 | fi
260 |
261 | exit $exit_code
262 |
```
--------------------------------------------------------------------------------
/docs/enhancement-roadmap-issue-14.md:
--------------------------------------------------------------------------------
```markdown
1 | # Memory Awareness Enhancement Roadmap - Issue #14
2 |
3 | ## Executive Summary
4 |
5 | This roadmap outlines the transformation of GitHub issue #14 from a basic external utility to a sophisticated memory-aware Claude Code experience leveraging advanced features like hooks, project awareness, and MCP deep integration.
6 |
7 | ## Phase 1: Automatic Memory Awareness (Weeks 1-2)
8 |
9 | ### 1.1 Session Startup Hooks
10 | **Goal**: Automatically inject relevant memories when starting a Claude Code session
11 |
12 | **Implementation**:
13 | ```javascript
14 | // claude-hooks/session-start.js
15 | export async function onSessionStart(context) {
16 | const projectContext = await detectProjectContext(context.workingDirectory);
17 | const relevantMemories = await queryMemoryService({
18 | tags: [projectContext.name, 'key-decisions', 'recent-insights'],
19 | timeRange: 'last-2-weeks',
20 | limit: 8
21 | });
22 |
23 | if (relevantMemories.length > 0) {
24 | await injectSystemMessage(`
25 | Recent project context from memory:
26 | ${formatMemoriesForContext(relevantMemories)}
27 | `);
28 | }
29 | }
30 | ```
31 |
32 | **Features**:
33 | - Project detection based on git repository and directory structure
34 | - Smart memory filtering by project relevance and recency
35 | - Automatic context injection without user intervention
36 |
37 | ### 1.2 Project-Aware Memory Selection
38 | **Goal**: Intelligently select memories based on current project context
39 |
40 | **Implementation**:
41 | ```python
42 | # Enhanced memory retrieval with project awareness
43 | class ProjectAwareMemoryRetrieval:
44 | def select_relevant_memories(self, project_context):
45 | # Score memories by relevance to current project
46 | memories = self.memory_service.search_by_tags([
47 | project_context.name,
48 | f"tech:{project_context.language}",
49 | "decisions", "architecture", "bugs-fixed"
50 | ])
51 |
52 | # Apply relevance scoring
53 | scored_memories = self.score_by_relevance(memories, project_context)
54 | return scored_memories[:10]
55 | ```
56 |
57 | ### 1.3 Conversation Context Injection
58 | **Goal**: Seamlessly inject memory context into conversation flow
59 |
60 | **Deliverables**:
61 | - Session initialization hooks
62 | - Project context detection algorithm
63 | - Memory relevance scoring system
64 | - Context formatting and injection utilities
65 |
66 | ## Phase 2: Intelligent Context Updates (Weeks 3-4)
67 |
68 | ### 2.1 Dynamic Memory Loading
69 | **Goal**: Update memory context as conversation topics evolve
70 |
71 | **Implementation**:
72 | ```javascript
73 | // claude-hooks/topic-change.js
74 | export async function onTopicChange(context, newTopics) {
75 | const additionalMemories = await queryMemoryService({
76 | semanticSearch: newTopics,
77 | excludeAlreadyLoaded: context.loadedMemoryHashes,
78 | limit: 5
79 | });
80 |
81 | if (additionalMemories.length > 0) {
82 | await updateContext(`
83 | Additional relevant context:
84 | ${formatMemoriesForContext(additionalMemories)}
85 | `);
86 | }
87 | }
88 | ```
89 |
90 | ### 2.2 Conversation Continuity
91 | **Goal**: Link conversations across sessions for seamless continuity
92 |
93 | **Features**:
94 | - Cross-session conversation linking
95 | - Session outcome consolidation
96 | - Persistent conversation threads
97 |
98 | ### 2.3 Smart Memory Filtering
99 | **Goal**: AI-powered memory selection based on conversation analysis
100 |
101 | **Implementation**:
102 | - Natural language processing for topic extraction
103 | - Semantic similarity matching
104 | - Relevance decay algorithms
105 | - User preference learning
106 |
107 | ## Phase 3: Advanced Integration Features (Weeks 5-6)
108 |
109 | ### 3.1 Auto-Tagging Conversations
110 | **Goal**: Automatically categorize and tag conversation outcomes
111 |
112 | **Implementation**:
113 | ```javascript
114 | // claude-hooks/session-end.js
115 | export async function onSessionEnd(context) {
116 | const sessionSummary = await analyzeSession(context.conversation);
117 | const autoTags = await generateTags(sessionSummary);
118 |
119 | await storeMemory({
120 | content: sessionSummary,
121 | tags: [...autoTags, 'session-outcome', context.project.name],
122 | type: 'session-summary'
123 | });
124 | }
125 | ```
126 |
127 | ### 3.2 Memory Consolidation System
128 | **Goal**: Intelligent organization of session insights and outcomes
129 |
130 | **Features**:
131 | - Duplicate detection and merging
132 | - Insight extraction and categorization
133 | - Knowledge graph building
134 | - Memory lifecycle management
135 |
136 | ### 3.3 Cross-Session Intelligence
137 | **Goal**: Maintain knowledge continuity across different coding sessions
138 |
139 | **Implementation**:
140 | - Session relationship mapping
141 | - Progressive memory building
142 | - Context evolution tracking
143 | - Learning pattern recognition
144 |
145 | ## Technical Architecture
146 |
147 | ### Core Components
148 |
149 | 1. **Memory Hook System**
150 | - Session lifecycle hooks
151 | - Project context detection
152 | - Dynamic memory injection
153 |
154 | 2. **Intelligent Memory Selection**
155 | - Relevance scoring algorithms
156 | - Topic analysis and matching
157 | - Context-aware filtering
158 |
159 | 3. **Context Management**
160 | - Dynamic context updates
161 | - Memory formatting utilities
162 | - Conversation continuity tracking
163 |
164 | 4. **Integration Layer**
165 | - Claude Code hooks interface
166 | - MCP Memory Service connector
167 | - Project structure analysis
168 |
169 | ### API Enhancements
170 |
171 | ```python
172 | # New memory service endpoints for Claude Code integration
173 | @app.post("/claude-code/session-context")
174 | async def get_session_context(project: ProjectContext):
175 | """Get relevant memories for Claude Code session initialization."""
176 |
177 | @app.post("/claude-code/dynamic-context")
178 | async def get_dynamic_context(topics: List[str], exclude: List[str]):
179 | """Get additional context based on evolving conversation topics."""
180 |
181 | @app.post("/claude-code/consolidate-session")
182 | async def consolidate_session(session_data: SessionData):
183 | """Store and organize session outcomes with intelligent tagging."""
184 | ```
185 |
186 | ## Success Metrics
187 |
188 | ### Phase 1 Targets
189 | - ✅ 100% automatic session context injection
190 | - ✅ <2 second session startup time with memory loading
191 | - ✅ 90%+ relevant memory selection accuracy
192 |
193 | ### Phase 2 Targets
194 | - ✅ Real-time context updates based on conversation flow
195 | - ✅ 95%+ conversation continuity across sessions
196 | - ✅ Intelligent topic detection and memory matching
197 |
198 | ### Phase 3 Targets
199 | - ✅ Fully autonomous memory management
200 | - ✅ Cross-session knowledge building
201 | - ✅ Adaptive learning from user interactions
202 |
203 | ## Implementation Priority
204 |
205 | **High Priority (Phase 1)**:
206 | 1. Session startup hooks for automatic memory injection
207 | 2. Project-aware memory selection algorithms
208 | 3. Basic context injection utilities
209 |
210 | **Medium Priority (Phase 2)**:
211 | 1. Dynamic memory loading based on conversation topics
212 | 2. Cross-session conversation linking
213 | 3. Smart memory filtering enhancements
214 |
215 | **Enhancement Priority (Phase 3)**:
216 | 1. Auto-tagging and session outcome consolidation
217 | 2. Advanced memory organization systems
218 | 3. Machine learning-based relevance optimization
219 |
220 | ## Risk Mitigation
221 |
222 | ### Technical Risks
223 | - **Performance Impact**: Implement lazy loading and caching strategies
224 | - **Context Overload**: Smart filtering and relevance-based selection
225 | - **Memory Service Availability**: Graceful degradation without memory service
226 |
227 | ### User Experience Risks
228 | - **Information Overload**: Configurable memory injection levels
229 | - **Privacy Concerns**: Clear memory access controls and user preferences
230 | - **Learning Curve**: Seamless integration with minimal configuration required
231 |
232 | ## Conclusion
233 |
234 | This enhancement transforms issue #14 from a basic utility into a revolutionary memory-aware Claude Code experience. By leveraging Claude Code's advanced features, we can deliver the original vision of automatic memory context injection while providing intelligent, context-aware assistance that learns and adapts to user patterns.
235 |
236 | The phased approach ensures incremental value delivery while building towards a sophisticated memory-aware development environment that fundamentally changes how developers interact with their code and project knowledge.
```
--------------------------------------------------------------------------------
/scripts/maintenance/cleanup_organize.py:
--------------------------------------------------------------------------------
```python
1 | #!/usr/bin/env python3
2 | # Copyright 2024 Heinrich Krupp
3 | #
4 | # Licensed under the Apache License, Version 2.0 (the "License");
5 | # you may not use this file except in compliance with the License.
6 | # You may obtain a copy of the License at
7 | #
8 | # http://www.apache.org/licenses/LICENSE-2.0
9 | #
10 | # Unless required by applicable law or agreed to in writing, software
11 | # distributed under the License is distributed on an "AS IS" BASIS,
12 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 | # See the License for the specific language governing permissions and
14 | # limitations under the License.
15 |
16 | """
17 | MCP-MEMORY-SERVICE Cleanup and Organization Script
18 |
19 | This script implements the cleanup plan documented in CLEANUP_PLAN.md.
20 | It creates the necessary directory structure, moves files to their new locations,
21 | and prepares everything for committing to the new branch.
22 | """
23 |
24 | import os
25 | import sys
26 | import shutil
27 | from pathlib import Path
28 | import subprocess
29 | import datetime
30 |
31 | def run_command(command):
32 | """Run a shell command and print the result."""
33 | print(f"Running: {command}")
34 | result = subprocess.run(command, shell=True, capture_output=True, text=True)
35 | if result.returncode != 0:
36 | print(f"ERROR: {result.stderr}")
37 | return False
38 | print(f"SUCCESS: {result.stdout}")
39 | return True
40 |
41 | def create_directory(path):
42 | """Create a directory if it doesn't exist."""
43 | if not os.path.exists(path):
44 | print(f"Creating directory: {path}")
45 | os.makedirs(path)
46 | else:
47 | print(f"Directory already exists: {path}")
48 |
49 | def move_file(src, dest):
50 | """Move a file from src to dest, creating destination directory if needed."""
51 | dest_dir = os.path.dirname(dest)
52 | # Only try to create the directory if dest_dir is not empty
53 | if dest_dir and not os.path.exists(dest_dir):
54 | os.makedirs(dest_dir)
55 |
56 | if os.path.exists(src):
57 | print(f"Moving {src} to {dest}")
58 | shutil.move(src, dest)
59 | else:
60 | print(f"WARNING: Source file does not exist: {src}")
61 |
62 | def copy_file(src, dest):
63 | """Copy a file from src to dest, creating destination directory if needed."""
64 | dest_dir = os.path.dirname(dest)
65 | # Only try to create the directory if dest_dir is not empty
66 | if dest_dir and not os.path.exists(dest_dir):
67 | os.makedirs(dest_dir)
68 |
69 | if os.path.exists(src):
70 | print(f"Copying {src} to {dest}")
71 | shutil.copy2(src, dest)
72 | else:
73 | print(f"WARNING: Source file does not exist: {src}")
74 |
75 | def create_readme(path, content):
76 | """Create a README.md file with the given content."""
77 | with open(path, 'w') as f:
78 | f.write(content)
79 | print(f"Created README: {path}")
80 |
81 | def main():
82 | # Change to the repository root directory
83 | repo_root = os.getcwd()
84 | print(f"Working in repository root: {repo_root}")
85 |
86 | # 1. Create test directory structure
87 | test_dirs = [
88 | "tests/integration",
89 | "tests/unit",
90 | "tests/performance"
91 | ]
92 | for directory in test_dirs:
93 | create_directory(directory)
94 |
95 | # 2. Create documentation directory structure
96 | doc_dirs = [
97 | "docs/guides",
98 | "docs/implementation",
99 | "docs/api",
100 | "docs/examples"
101 | ]
102 | for directory in doc_dirs:
103 | create_directory(directory)
104 |
105 | # 3. Create archive directory
106 | today = datetime.date.today().strftime("%Y-%m-%d")
107 | archive_dir = f"archive/{today}"
108 | create_directory(archive_dir)
109 |
110 | # 4. Move test files
111 | test_files = [
112 | ("test_chromadb.py", "tests/unit/test_chroma.py"),
113 | ("test_health_check_fixes.py", "tests/integration/test_storage.py"),
114 | ("test_issue_5_fix.py", "tests/unit/test_tags.py"),
115 | ("test_performance_optimizations.py", "tests/performance/test_caching.py")
116 | ]
117 | for src, dest in test_files:
118 | move_file(src, dest)
119 |
120 | # 5. Move documentation files
121 | doc_files = [
122 | ("HEALTH_CHECK_FIXES_SUMMARY.md", "docs/implementation/health_checks.md"),
123 | ("PERFORMANCE_OPTIMIZATION_SUMMARY.md", "docs/implementation/performance.md"),
124 | ("CLAUDE.md", "docs/guides/claude_integration.md")
125 | ]
126 | for src, dest in doc_files:
127 | move_file(src, dest)
128 |
129 | # 6. Archive backup files
130 | archive_files = [
131 | ("backup_performance_optimization", f"{archive_dir}/backup_performance_optimization")
132 | ]
133 | for src, dest in archive_files:
134 | if os.path.exists(src):
135 | if os.path.exists(dest):
136 | print(f"Archive destination already exists: {dest}")
137 | else:
138 | shutil.copytree(src, dest)
139 | print(f"Archived {src} to {dest}")
140 | else:
141 | print(f"WARNING: Source directory does not exist: {src}")
142 |
143 | # 7. Update CHANGELOG.md
144 | if os.path.exists("CHANGELOG.md.new"):
145 | move_file("CHANGELOG.md.new", "CHANGELOG.md")
146 |
147 | # 8. Create test README files
148 | test_readme = """# MCP-MEMORY-SERVICE Tests
149 |
150 | This directory contains tests for the MCP-MEMORY-SERVICE project.
151 |
152 | ## Directory Structure
153 |
154 | - `integration/` - Integration tests between components
155 | - `unit/` - Unit tests for individual components
156 | - `performance/` - Performance benchmarks
157 |
158 | ## Running Tests
159 |
160 | ```bash
161 | # Run all tests
162 | pytest
163 |
164 | # Run specific test category
165 | pytest tests/unit/
166 | pytest tests/integration/
167 | pytest tests/performance/
168 | ```
169 | """
170 | create_readme("tests/README.md", test_readme)
171 |
172 | # 9. Create docs README file
173 | docs_readme = """# MCP-MEMORY-SERVICE Documentation
174 |
175 | This directory contains documentation for the MCP-MEMORY-SERVICE project.
176 |
177 | ## Directory Structure
178 |
179 | - `guides/` - User guides and tutorials
180 | - `implementation/` - Implementation details and technical documentation
181 | - `api/` - API reference documentation
182 | - `examples/` - Example code and usage patterns
183 | """
184 | create_readme("docs/README.md", docs_readme)
185 |
186 | # 10. Create archive README file
187 | archive_readme = f"""# Archive Directory
188 |
189 | This directory contains archived files from previous versions of MCP-MEMORY-SERVICE.
190 |
191 | ## {today}/
192 |
193 | - `backup_performance_optimization/` - Backup files from performance optimization work
194 | """
195 | create_readme(f"{archive_dir}/README.md", archive_readme)
196 |
197 | # 11. Create pytest.ini
198 | pytest_ini = """[pytest]
199 | testpaths = tests
200 | python_files = test_*.py
201 | python_classes = Test*
202 | python_functions = test_*
203 | markers =
204 | unit: unit tests
205 | integration: integration tests
206 | performance: performance tests
207 | """
208 | with open("pytest.ini", 'w') as f:
209 | f.write(pytest_ini)
210 | print("Created pytest.ini")
211 |
212 | # 12. Create conftest.py
213 | conftest = """import pytest
214 | import os
215 | import sys
216 | import tempfile
217 | import shutil
218 |
219 | # Add src directory to Python path
220 | sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'src'))
221 |
222 | @pytest.fixture
223 | def temp_db_path():
224 | '''Create a temporary directory for ChromaDB testing.'''
225 | temp_dir = tempfile.mkdtemp()
226 | yield temp_dir
227 | # Clean up after test
228 | shutil.rmtree(temp_dir)
229 | """
230 | with open("tests/conftest.py", 'w') as f:
231 | f.write(conftest)
232 | print("Created tests/conftest.py")
233 |
234 | print("\nCleanup and organization completed!")
235 | print("Next steps:")
236 | print("1. Verify all files are in their correct locations")
237 | print("2. Run tests to ensure everything still works")
238 | print("3. Create a new git branch and commit the changes")
239 | print(" git checkout -b feature/cleanup-and-organization")
240 | print(" git add .")
241 | print(" git commit -m \"Organize tests, documentation, and archive old files\"")
242 | print("4. Push the branch for hardware testing")
243 | print(" git push origin feature/cleanup-and-organization")
244 |
245 | if __name__ == "__main__":
246 | main()
247 |
```
--------------------------------------------------------------------------------
/archive/docs-removed-2025-08-23/complete-setup-guide.md:
--------------------------------------------------------------------------------
```markdown
1 | # MCP Memory Service - Complete Setup Guide
2 |
3 | ## ✅ Successfully Configured Features
4 |
5 | ### 🧠 **Consolidation System**
6 | - **Exponential Decay**: Memory aging with retention periods
7 | - **Creative Associations**: Auto-discovery of memory connections
8 | - **Semantic Clustering**: DBSCAN algorithm grouping
9 | - **Memory Compression**: 500-char summaries with originals preserved
10 | - **Controlled Forgetting**: Relevance-based archival
11 | - **Automated Scheduling**: Daily/weekly/monthly runs
12 |
13 | ### 🌐 **mDNS Multi-Client HTTPS**
14 | - **Service Name**: `memory.local` (clean, no port needed)
15 | - **Service Type**: `_http._tcp.local.` (standard HTTP service)
16 | - **Port**: 443 (standard HTTPS)
17 | - **Auto-Discovery**: Zero-configuration client setup
18 | - **HTTPS**: Self-signed certificates (auto-generated)
19 | - **Multi-Interface**: Available on all network interfaces
20 | - **Real-time Updates**: Server-Sent Events (SSE)
21 | - **Security**: Non-root binding via CAP_NET_BIND_SERVICE
22 |
23 | ### 🚀 **Auto-Startup Service**
24 | - **Systemd Integration**: Starts on boot automatically
25 | - **Auto-Restart**: Recovers from failures
26 | - **User Service**: Runs as regular user (not root)
27 | - **Logging**: Integrated with systemd journal
28 |
29 | ## 📋 **Complete Installation Steps**
30 |
31 | ### **1. Initial Setup**
32 | ```bash
33 | # Create virtual environment and install
34 | python3 -m venv venv
35 | source venv/bin/activate
36 | python install.py --server-mode --enable-http-api
37 | ```
38 |
39 | ### **2. Configure Auto-Startup**
40 | ```bash
41 | # Install systemd service
42 | bash install_service.sh
43 |
44 | # Update service configuration (fixed version)
45 | ./update_service.sh
46 |
47 | # Start service
48 | sudo systemctl start mcp-memory
49 |
50 | # Verify it's running
51 | sudo systemctl status mcp-memory
52 | ```
53 |
54 | ### **3. Configure Firewall**
55 | ```bash
56 | # Allow mDNS discovery
57 | sudo ufw allow 5353/udp
58 |
59 | # Allow HTTPS server
60 | sudo ufw allow 8000/tcp
61 | ```
62 |
63 | ## 🔧 **Service Configuration**
64 |
65 | ### **Environment Variables**
66 | ```bash
67 | MCP_CONSOLIDATION_ENABLED=true
68 | MCP_MDNS_ENABLED=true
69 | MCP_HTTPS_ENABLED=true
70 | MCP_MDNS_SERVICE_NAME="memory"
71 | MCP_HTTP_HOST=0.0.0.0
72 | MCP_HTTP_PORT=8000
73 | MCP_MEMORY_STORAGE_BACKEND=sqlite_vec
74 | MCP_API_KEY=mcp-0b1ccbde2197a08dcb12d41af4044be6
75 | ```
76 |
77 | ### **Consolidation Settings**
78 | - **Retention Periods**: Critical (365d), Reference (180d), Standard (30d), Temporary (7d)
79 | - **Association Discovery**: Similarity range 0.3-0.7, max 100 pairs per run
80 | - **Clustering**: DBSCAN algorithm, minimum 5 memories per cluster
81 | - **Compression**: 500 character summaries, preserve originals
82 | - **Forgetting**: Relevance threshold 0.1, 90-day access threshold
83 | - **Schedule**: Daily 2AM, Weekly Sunday 3AM, Monthly 1st 4AM
84 |
85 | ## 🌐 **Access Points**
86 |
87 | ### **Local Access**
88 | - **Dashboard**: https://localhost:443 or https://memory.local
89 | - **API Documentation**: https://memory.local/api/docs
90 | - **Health Check**: https://memory.local/api/health
91 | - **SSE Events**: https://memory.local/api/events
92 | - **Connection Stats**: https://memory.local/api/events/stats
93 |
94 | ### **Network Access**
95 | - **Clean mDNS**: https://memory.local (no port needed!)
96 | - **mDNS Discovery**: `memory._http._tcp.local.`
97 | - **Auto-Discovery**: Clients find service automatically
98 | - **Standard Port**: 443 (HTTPS default)
99 |
100 | ## 🛠️ **Service Management**
101 |
102 | ### **Using Control Script**
103 | ```bash
104 | ./service_control.sh start # Start service
105 | ./service_control.sh stop # Stop service
106 | ./service_control.sh restart # Restart service
107 | ./service_control.sh status # Show status
108 | ./service_control.sh logs # View live logs
109 | ./service_control.sh health # Test API health
110 | ```
111 |
112 | ### **Direct systemctl Commands**
113 | ```bash
114 | sudo systemctl start mcp-memory # Start
115 | sudo systemctl stop mcp-memory # Stop
116 | sudo systemctl restart mcp-memory # Restart
117 | sudo systemctl status mcp-memory # Status
118 | sudo systemctl enable mcp-memory # Enable startup
119 | sudo systemctl disable mcp-memory # Disable startup
120 | sudo journalctl -u mcp-memory -f # Live logs
121 | ```
122 |
123 | ## 🔍 **Verification Tests**
124 |
125 | ### **1. Service Status**
126 | ```bash
127 | sudo systemctl status mcp-memory
128 | # Should show: Active: active (running)
129 | ```
130 |
131 | ### **2. API Health**
132 | ```bash
133 | curl -k https://localhost:8000/api/health
134 | # Should return: {"status": "healthy", ...}
135 | ```
136 |
137 | ### **3. mDNS Discovery**
138 | ```bash
139 | avahi-browse -t _mcp-memory._tcp
140 | # Should show: memory on multiple interfaces
141 | ```
142 |
143 | ### **4. HTTPS Certificate**
144 | ```bash
145 | openssl s_client -connect localhost:8000 -servername localhost < /dev/null
146 | # Should show certificate details
147 | ```
148 |
149 | ## 📁 **File Structure**
150 |
151 | ### **Core Files**
152 | - `mcp-memory.service` - Systemd service configuration
153 | - `install_service.sh` - Service installation script
154 | - `service_control.sh` - Service management script
155 | - `update_service.sh` - Configuration update script
156 | - `test_service.sh` - Debug testing script
157 |
158 | ### **Setup Scripts**
159 | - `setup_consolidation_mdns.sh` - Manual startup script
160 | - `COMPLETE_SETUP_GUIDE.md` - This comprehensive guide
161 | - `STARTUP_SETUP_GUIDE.md` - Original startup guide
162 |
163 | ## 🔐 **Security Configuration**
164 |
165 | ### **API Authentication**
166 | - **API Key**: `mcp-0b1ccbde2197a08dcb12d41af4044be6`
167 | - **HTTPS Only**: Self-signed certificates for development
168 | - **Local Network**: mDNS discovery limited to local network
169 |
170 | ### **Systemd Security**
171 | - **User Service**: Runs as `hkr` user (not root)
172 | - **Working Directory**: `/home/hkr/repositories/mcp-memory-service`
173 | - **No Privilege Escalation**: NoNewPrivileges removed for compatibility
174 |
175 | ## 🎯 **Client Configuration**
176 |
177 | ### **Claude Desktop Auto-Discovery**
178 | ```json
179 | {
180 | "mcpServers": {
181 | "memory": {
182 | "command": "node",
183 | "args": ["/path/to/examples/http-mcp-bridge.js"],
184 | "env": {
185 | "MCP_MEMORY_AUTO_DISCOVER": "true",
186 | "MCP_MEMORY_PREFER_HTTPS": "true",
187 | "MCP_MEMORY_API_KEY": "mcp-0b1ccbde2197a08dcb12d41af4044be6"
188 | }
189 | }
190 | }
191 | }
192 | ```
193 |
194 | ### **Manual Connection**
195 | ```json
196 | {
197 | "mcpServers": {
198 | "memory": {
199 | "command": "node",
200 | "args": ["/path/to/examples/http-mcp-bridge.js"],
201 | "env": {
202 | "MCP_MEMORY_HTTP_ENDPOINT": "https://memory.local/api",
203 | "MCP_MEMORY_API_KEY": "mcp-0b1ccbde2197a08dcb12d41af4044be6"
204 | }
205 | }
206 | }
207 | }
208 | ```
209 |
210 | ## 🚨 **Troubleshooting**
211 |
212 | ### **Service Won't Start**
213 | ```bash
214 | # Check detailed logs
215 | sudo journalctl -u mcp-memory --no-pager -n 50
216 |
217 | # Test manual startup
218 | ./test_service.sh
219 |
220 | # Verify virtual environment
221 | ls -la venv/bin/python
222 | ```
223 |
224 | ### **Can't Connect to API**
225 | ```bash
226 | # Check if service is listening
227 | ss -tlnp | grep :443
228 |
229 | # Test local connection
230 | curl -k https://memory.local/api/health
231 |
232 | # Check firewall
233 | sudo ufw status
234 | ```
235 |
236 | ### **No mDNS Discovery**
237 | ```bash
238 | # Test mDNS
239 | avahi-browse -t _http._tcp | grep memory
240 |
241 | # Test resolution
242 | avahi-resolve-host-name memory.local
243 |
244 | # Check network interfaces
245 | ip addr show
246 |
247 | # Verify multicast support
248 | ping 224.0.0.251
249 | ```
250 |
251 | ### **Port 443 Conflicts (Pi-hole, etc.)**
252 | ```bash
253 | # Check what's using port 443
254 | sudo netstat -tlnp | grep :443
255 |
256 | # Disable conflicting services (example: Pi-hole)
257 | sudo systemctl stop pihole-FTL
258 | sudo systemctl disable pihole-FTL
259 | sudo systemctl stop lighttpd
260 | sudo systemctl disable lighttpd
261 |
262 | # Then restart memory service
263 | sudo systemctl restart mcp-memory
264 | ```
265 |
266 | ## ✅ **Success Indicators**
267 |
268 | When everything is working correctly, you should see:
269 |
270 | 1. **Service Status**: `Active: active (running)`
271 | 2. **API Response**: `{"status": "healthy"}`
272 | 3. **mDNS Discovery**: Service visible on multiple interfaces
273 | 4. **HTTPS Access**: Dashboard accessible at https://localhost:8000
274 | 5. **Auto-Startup**: Service starts automatically on boot
275 | 6. **Consolidation**: Logs show consolidation system enabled
276 | 7. **Client Connections**: Multiple clients can connect simultaneously
277 |
278 | ---
279 |
280 | **🎉 Your MCP Memory Service is now fully operational with consolidation, mDNS auto-discovery, HTTPS, and automatic startup!**
```
--------------------------------------------------------------------------------
/scripts/pr/auto_review.sh:
--------------------------------------------------------------------------------
```bash
1 | #!/bin/bash
2 | # scripts/pr/auto_review.sh - Automated PR review loop using Gemini CLI
3 | #
4 | # Usage: bash scripts/pr/auto_review.sh <PR_NUMBER> [MAX_ITERATIONS] [SAFE_FIX_MODE]
5 | # Example: bash scripts/pr/auto_review.sh 123 5 true
6 |
7 | set -e
8 |
9 | # Get script directory for sourcing helpers
10 | SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
11 |
12 | # Source GraphQL helpers for thread resolution
13 | if [ -f "$SCRIPT_DIR/lib/graphql_helpers.sh" ]; then
14 | source "$SCRIPT_DIR/lib/graphql_helpers.sh"
15 | GRAPHQL_AVAILABLE=true
16 | else
17 | echo "Warning: GraphQL helpers not available, thread auto-resolution disabled"
18 | GRAPHQL_AVAILABLE=false
19 | fi
20 |
21 | PR_NUMBER=$1
22 | MAX_ITERATIONS=${2:-5}
23 | SAFE_FIX_MODE=${3:-true}
24 |
25 | if [ -z "$PR_NUMBER" ]; then
26 | echo "Usage: $0 <PR_NUMBER> [MAX_ITERATIONS] [SAFE_FIX_MODE]"
27 | echo "Example: $0 123 5 true"
28 | exit 1
29 | fi
30 |
31 | # Check dependencies
32 | if ! command -v gh &> /dev/null; then
33 | echo "Error: GitHub CLI (gh) is not installed"
34 | echo "Install: https://cli.github.com/"
35 | exit 1
36 | fi
37 |
38 | if ! command -v gemini &> /dev/null; then
39 | echo "Error: Gemini CLI is not installed"
40 | exit 1
41 | fi
42 |
43 | echo "=== Automated PR Review Loop ==="
44 | echo "PR Number: #$PR_NUMBER"
45 | echo "Max Iterations: $MAX_ITERATIONS"
46 | echo "Safe Fix Mode: $SAFE_FIX_MODE"
47 | echo "GraphQL Thread Resolution: $([ "$GRAPHQL_AVAILABLE" = true ] && echo "Enabled" || echo "Disabled")"
48 | echo ""
49 |
50 | # Get repository from git remote (portable across forks)
51 | REPO=$(gh repo view --json nameWithOwner -q .nameWithOwner 2>/dev/null || echo "doobidoo/mcp-memory-service")
52 |
53 | iteration=1
54 | approved=false
55 |
56 | while [ $iteration -le $MAX_ITERATIONS ] && [ "$approved" = false ]; do
57 | echo "=== Iteration $iteration/$MAX_ITERATIONS ==="
58 |
59 | # Trigger Gemini review (use /gemini review for inline comments)
60 | echo "Requesting Gemini code review (inline comments)..."
61 | gh pr comment $PR_NUMBER --body "/gemini review"
62 |
63 | # Wait for Gemini to process
64 | echo "Waiting for Gemini review (90 seconds)..."
65 | sleep 90
66 |
67 | # Fetch latest review status and comments
68 | echo "Fetching review feedback..."
69 |
70 | # Get review state (APPROVED, CHANGES_REQUESTED, COMMENTED)
71 | review_state=$(gh pr view $PR_NUMBER --json reviews --jq '[.reviews[] | select(.author.login == "gemini-code-assist[bot]")] | last | .state')
72 |
73 | # Fetch actual comment bodies for categorization first
74 | review_comments=$(gh api "repos/$REPO/pulls/$PR_NUMBER/comments" | \
75 | jq -r '[.[] | select(.user.login == "gemini-code-assist[bot]")] | .[] | "- \(.path):\(.line) - \(.body[0:200])"' | \
76 | head -50)
77 |
78 | # Get inline review comments count
79 | review_comments_count=$(gh api "repos/$REPO/pulls/$PR_NUMBER/comments" | jq '[.[] | select(.user.login == "gemini-code-assist[bot]")] | length')
80 |
81 | echo "Review State: $review_state"
82 | echo "Inline Comments: $review_comments_count"
83 |
84 | # Display thread status if GraphQL available
85 | if [ "$GRAPHQL_AVAILABLE" = true ]; then
86 | thread_stats=$(get_thread_stats "$PR_NUMBER" 2>/dev/null || echo '{"total":0,"resolved":0,"unresolved":0}')
87 | total_threads=$(echo "$thread_stats" | jq -r '.total // 0')
88 | resolved_threads=$(echo "$thread_stats" | jq -r '.resolved // 0')
89 | unresolved_threads=$(echo "$thread_stats" | jq -r '.unresolved // 0')
90 | echo "Review Threads: $total_threads total, $resolved_threads resolved, $unresolved_threads unresolved"
91 | fi
92 |
93 | echo ""
94 |
95 | # Check if approved
96 | if [ "$review_state" = "APPROVED" ]; then
97 | echo "✅ PR approved by Gemini!"
98 | approved=true
99 | break
100 | fi
101 |
102 | # If no inline comments, we're done
103 | if [ "$review_comments_count" -eq 0 ] && [ "$review_state" != "CHANGES_REQUESTED" ]; then
104 | echo "✅ No issues found in review"
105 | approved=true
106 | break
107 | fi
108 |
109 | # Extract actionable issues
110 | if [ "$SAFE_FIX_MODE" = true ]; then
111 | echo "Analyzing feedback for safe auto-fixes..."
112 |
113 | # Get PR diff
114 | pr_diff=$(gh pr diff $PR_NUMBER)
115 |
116 | # Use Gemini to categorize issues (request JSON format)
117 | categorization=$(gemini "Categorize these code review comments into a JSON object.
118 |
119 | Review feedback:
120 | $review_comments
121 |
122 | Categories:
123 | - safe: Simple fixes (formatting, imports, type hints, docstrings, variable renaming)
124 | - unsafe: Logic changes, API modifications, security-critical code
125 | - non_code: Documentation, discussion, questions
126 |
127 | IMPORTANT: Output ONLY valid JSON in this exact format:
128 | {
129 | \"safe\": [\"issue 1\", \"issue 2\"],
130 | \"unsafe\": [\"issue 1\"],
131 | \"non_code\": [\"comment 1\"]
132 | }")
133 |
134 | echo "$categorization"
135 |
136 | # Extract safe issues using jq
137 | safe_issues=$(echo "$categorization" | jq -r '.safe[]' 2>/dev/null || echo "")
138 |
139 | if [ -z "$safe_issues" ]; then
140 | echo "No safe auto-fixable issues found. Manual intervention required."
141 | break
142 | fi
143 |
144 | echo ""
145 | echo "Safe issues to auto-fix:"
146 | echo "$safe_issues"
147 | echo ""
148 |
149 | # Generate fixes for safe issues
150 | echo "Generating code fixes..."
151 | fixes=$(gemini "Generate git diff patches for these safe fixes:
152 |
153 | Issues to fix:
154 | $safe_issues
155 |
156 | Current code (PR diff):
157 | $pr_diff
158 |
159 | Output only the git diff patch that can be applied with 'git apply'. Include file paths and line numbers.")
160 |
161 | # Use mktemp for patch file
162 | patch_file=$(mktemp -t pr_fixes_${PR_NUMBER}_${iteration}.XXXXXX)
163 | echo "$fixes" > "$patch_file"
164 |
165 | # Attempt to apply fixes
166 | echo "Attempting to apply fixes..."
167 | if git apply --check "$patch_file" 2>/dev/null; then
168 | git apply "$patch_file"
169 | git add -A
170 |
171 | # Create commit message
172 | commit_msg="fix: apply Gemini review feedback (iteration $iteration)
173 |
174 | Addressed:
175 | $safe_issues
176 |
177 | Co-Authored-By: Gemini Code Assist <[email protected]>"
178 |
179 | git commit -m "$commit_msg"
180 | git push
181 |
182 | echo "✅ Fixes applied and pushed"
183 |
184 | # Auto-resolve review threads for files we just fixed
185 | if [ "$GRAPHQL_AVAILABLE" = true ]; then
186 | echo ""
187 | echo "Resolving review threads for fixed code..."
188 |
189 | # Get the commit SHA we just created
190 | latest_commit=$(git rev-parse HEAD)
191 |
192 | # Run thread resolution in auto mode
193 | if bash "$SCRIPT_DIR/resolve_threads.sh" "$PR_NUMBER" "$latest_commit" --auto 2>&1 | grep -q "Resolved:"; then
194 | echo "✅ Review threads auto-resolved"
195 | else
196 | echo "ℹ️ No threads needed resolution"
197 | fi
198 | fi
199 |
200 | # Clean up temp file
201 | rm -f "$patch_file"
202 | else
203 | echo "⚠️ Could not auto-apply fixes. Patch saved to $patch_file"
204 | echo "Manual application required."
205 | break
206 | fi
207 | else
208 | echo "Manual fix mode enabled. Review feedback above and apply manually."
209 | break
210 | fi
211 |
212 | iteration=$((iteration + 1))
213 | echo ""
214 | echo "Waiting 10 seconds before next iteration..."
215 | sleep 10
216 | done
217 |
218 | echo ""
219 | echo "=== Review Loop Complete ==="
220 |
221 | if [ "$approved" = true ]; then
222 | echo "🎉 PR #$PR_NUMBER is approved and ready to merge!"
223 | gh pr comment $PR_NUMBER --body "✅ **Automated Review Complete**
224 |
225 | All review iterations completed successfully. PR is approved and ready for merge.
226 |
227 | Iterations: $((iteration - 1))/$MAX_ITERATIONS"
228 | exit 0
229 | else
230 | echo "⚠️ Max iterations reached or manual intervention needed"
231 | gh pr comment $PR_NUMBER --body "⚠️ **Automated Review Incomplete**
232 |
233 | Review loop completed $((iteration - 1)) iterations but approval not received.
234 | Manual review and intervention may be required.
235 |
236 | Please review the latest feedback and apply necessary changes."
237 | exit 1
238 | fi
239 |
```
--------------------------------------------------------------------------------
/scripts/service/service_utils.py:
--------------------------------------------------------------------------------
```python
1 | #!/usr/bin/env python3
2 | """
3 | Shared utilities for cross-platform service installation.
4 | Provides common functionality for all platform-specific service installers.
5 | """
6 | import os
7 | import sys
8 | import json
9 | import secrets
10 | import platform
11 | import subprocess
12 | from pathlib import Path
13 | from typing import Dict, Optional, Tuple
14 |
15 |
16 | def get_project_root() -> Path:
17 | """Get the project root directory."""
18 | current_file = Path(__file__).resolve()
19 | return current_file.parent.parent
20 |
21 |
22 | def get_python_executable() -> str:
23 | """Get the current Python executable path."""
24 | return sys.executable
25 |
26 |
27 | def get_venv_path() -> Optional[Path]:
28 | """Get the virtual environment path if in a venv."""
29 | if hasattr(sys, 'real_prefix') or (hasattr(sys, 'base_prefix') and sys.base_prefix != sys.prefix):
30 | return Path(sys.prefix)
31 | return None
32 |
33 |
34 | def generate_api_key() -> str:
35 | """Generate a secure API key for the service."""
36 | return f"mcp-{secrets.token_hex(16)}"
37 |
38 |
39 | def get_service_paths() -> Dict[str, Path]:
40 | """Get common paths used by the service."""
41 | project_root = get_project_root()
42 |
43 | paths = {
44 | 'project_root': project_root,
45 | 'scripts_dir': project_root / 'scripts',
46 | 'src_dir': project_root / 'src',
47 | 'venv_dir': get_venv_path() or project_root / 'venv',
48 | 'config_dir': Path.home() / '.mcp_memory_service',
49 | 'log_dir': Path.home() / '.mcp_memory_service' / 'logs',
50 | }
51 |
52 | # Ensure config and log directories exist
53 | paths['config_dir'].mkdir(parents=True, exist_ok=True)
54 | paths['log_dir'].mkdir(parents=True, exist_ok=True)
55 |
56 | return paths
57 |
58 |
59 | def get_service_environment() -> Dict[str, str]:
60 | """Get environment variables for the service."""
61 | paths = get_service_paths()
62 | venv_path = get_venv_path()
63 |
64 | env = {
65 | 'PYTHONPATH': str(paths['src_dir']),
66 | 'MCP_MEMORY_STORAGE_BACKEND': os.getenv('MCP_MEMORY_STORAGE_BACKEND', 'sqlite_vec'),
67 | 'MCP_HTTP_ENABLED': 'true',
68 | 'MCP_HTTP_HOST': '0.0.0.0',
69 | 'MCP_HTTP_PORT': '8000',
70 | 'MCP_HTTPS_ENABLED': 'true',
71 | 'MCP_MDNS_ENABLED': 'true',
72 | 'MCP_MDNS_SERVICE_NAME': 'memory',
73 | 'MCP_CONSOLIDATION_ENABLED': 'true',
74 | }
75 |
76 | # Add venv to PATH if available
77 | if venv_path:
78 | bin_dir = venv_path / ('Scripts' if platform.system() == 'Windows' else 'bin')
79 | current_path = os.environ.get('PATH', '')
80 | env['PATH'] = f"{bin_dir}{os.pathsep}{current_path}"
81 |
82 | return env
83 |
84 |
85 | def save_service_config(config: Dict[str, any]) -> Path:
86 | """Save service configuration to file."""
87 | paths = get_service_paths()
88 | config_file = paths['config_dir'] / 'service_config.json'
89 |
90 | with open(config_file, 'w') as f:
91 | json.dump(config, f, indent=2)
92 |
93 | return config_file
94 |
95 |
96 | def load_service_config() -> Optional[Dict[str, any]]:
97 | """Load service configuration from file."""
98 | paths = get_service_paths()
99 | config_file = paths['config_dir'] / 'service_config.json'
100 |
101 | if config_file.exists():
102 | with open(config_file, 'r') as f:
103 | return json.load(f)
104 | return None
105 |
106 |
107 | def check_dependencies() -> Tuple[bool, str]:
108 | """Check if all required dependencies are installed."""
109 | try:
110 | # Check Python version
111 | if sys.version_info < (3, 10):
112 | return False, f"Python 3.10+ required, found {sys.version}"
113 |
114 | # Check if in virtual environment (recommended)
115 | if not get_venv_path():
116 | print("WARNING: Not running in a virtual environment")
117 |
118 | # Check core dependencies
119 | required_modules = [
120 | 'mcp',
121 | 'chromadb',
122 | 'sentence_transformers',
123 | ]
124 |
125 | missing = []
126 | for module in required_modules:
127 | try:
128 | __import__(module)
129 | except ImportError:
130 | missing.append(module)
131 |
132 | if missing:
133 | return False, f"Missing dependencies: {', '.join(missing)}"
134 |
135 | return True, "All dependencies satisfied"
136 |
137 | except Exception as e:
138 | return False, f"Error checking dependencies: {str(e)}"
139 |
140 |
141 | def get_service_command() -> list:
142 | """Get the command to run the service."""
143 | paths = get_service_paths()
144 | python_exe = get_python_executable()
145 |
146 | # Use HTTP server script if available, otherwise fall back to main server
147 | http_server = paths['scripts_dir'] / 'run_http_server.py'
148 | main_server = paths['scripts_dir'] / 'run_memory_server.py'
149 |
150 | if http_server.exists():
151 | return [python_exe, str(http_server)]
152 | elif main_server.exists():
153 | return [python_exe, str(main_server)]
154 | else:
155 | # Fall back to module execution
156 | return [python_exe, '-m', 'mcp_memory_service.server']
157 |
158 |
159 | def test_service_startup() -> Tuple[bool, str]:
160 | """Test if the service can start successfully."""
161 | try:
162 | cmd = get_service_command()
163 | env = os.environ.copy()
164 | env.update(get_service_environment())
165 |
166 | # Try to start the service briefly
167 | proc = subprocess.Popen(
168 | cmd,
169 | env=env,
170 | stdout=subprocess.PIPE,
171 | stderr=subprocess.PIPE,
172 | text=True
173 | )
174 |
175 | # Give it a moment to start
176 | import time
177 | time.sleep(2)
178 |
179 | # Check if process is still running
180 | if proc.poll() is None:
181 | # Service started successfully, terminate it
182 | proc.terminate()
183 | proc.wait(timeout=5)
184 | return True, "Service starts successfully"
185 | else:
186 | # Process exited, get error
187 | stdout, stderr = proc.communicate()
188 | error_msg = stderr or stdout or "Unknown error"
189 | return False, f"Service failed to start: {error_msg}"
190 |
191 | except Exception as e:
192 | return False, f"Error testing service: {str(e)}"
193 |
194 |
195 | def print_service_info(api_key: str, platform_specific_info: Dict[str, str] = None):
196 | """Print service installation information."""
197 | print("\n" + "=" * 60)
198 | print("✅ MCP Memory Service Installed Successfully!")
199 | print("=" * 60)
200 |
201 | print("\n📌 Service Information:")
202 | print(f" API Key: {api_key}")
203 | print(f" Dashboard: https://localhost:8000")
204 | print(f" API Docs: https://localhost:8000/api/docs")
205 | print(f" Health Check: https://localhost:8000/api/health")
206 |
207 | if platform_specific_info:
208 | print("\n🖥️ Platform-Specific Commands:")
209 | for key, value in platform_specific_info.items():
210 | print(f" {key}: {value}")
211 |
212 | print("\n📝 Configuration:")
213 | config = load_service_config()
214 | if config:
215 | print(f" Config File: {get_service_paths()['config_dir'] / 'service_config.json'}")
216 | print(f" Log Directory: {get_service_paths()['log_dir']}")
217 |
218 | print("\n" + "=" * 60)
219 |
220 |
221 | def is_admin() -> bool:
222 | """Check if running with administrative privileges."""
223 | system = platform.system()
224 |
225 | if system == "Windows":
226 | try:
227 | import ctypes
228 | return ctypes.windll.shell32.IsUserAnAdmin() != 0
229 | except:
230 | return False
231 | else: # Unix-like systems
232 | return os.geteuid() == 0
233 |
234 |
235 | def require_admin(message: str = None):
236 | """Ensure the script is running with admin privileges."""
237 | if not is_admin():
238 | system = platform.system()
239 | if message:
240 | print(f"\n❌ {message}")
241 |
242 | if system == "Windows":
243 | print("\nPlease run this script as Administrator:")
244 | print(" Right-click on your terminal and select 'Run as Administrator'")
245 | else:
246 | print("\nPlease run this script with sudo:")
247 | script_name = sys.argv[0]
248 | print(f" sudo {' '.join(sys.argv)}")
249 |
250 | sys.exit(1)
```
--------------------------------------------------------------------------------
/src/mcp_memory_service/api/types.py:
--------------------------------------------------------------------------------
```python
1 | # Copyright 2024 Heinrich Krupp
2 | #
3 | # Licensed under the Apache License, Version 2.0 (the "License");
4 | # you may not use this file except in compliance with the License.
5 | # You may obtain a copy of the License at
6 | #
7 | # http://www.apache.org/licenses/LICENSE-2.0
8 | #
9 | # Unless required by applicable law or agreed to in writing, software
10 | # distributed under the License is distributed on an "AS IS" BASIS,
11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 | # See the License for the specific language governing permissions and
13 | # limitations under the License.
14 |
15 | """
16 | Compact data types for token-efficient code execution interface.
17 |
18 | These types provide 85-91% token reduction compared to full Memory objects
19 | while maintaining essential information for code execution contexts.
20 |
21 | Token Efficiency Comparison:
22 | - Full Memory object: ~820 tokens
23 | - CompactMemory: ~73 tokens (91% reduction)
24 | - CompactSearchResult (5 results): ~385 tokens vs ~2,625 tokens (85% reduction)
25 | """
26 |
27 | from typing import NamedTuple
28 |
29 |
30 | class CompactMemory(NamedTuple):
31 | """
32 | Minimal memory representation optimized for token efficiency.
33 |
34 | This type reduces token consumption by 91% compared to full Memory objects
35 | by including only essential fields and using compact representations.
36 |
37 | Token Cost: ~73 tokens (vs ~820 for full Memory)
38 |
39 | Fields:
40 | hash: 8-character content hash for unique identification
41 | preview: First 200 characters of content (sufficient for context)
42 | tags: Immutable tuple of tags for filtering and categorization
43 | created: Unix timestamp (float) for temporal context
44 | score: Relevance score (0.0-1.0) for search ranking
45 |
46 | Example:
47 | >>> memory = CompactMemory(
48 | ... hash='abc12345',
49 | ... preview='Implemented OAuth 2.1 authentication...',
50 | ... tags=('authentication', 'security', 'feature'),
51 | ... created=1730928000.0,
52 | ... score=0.95
53 | ... )
54 | >>> print(f"{memory.hash}: {memory.preview[:50]}... (score: {memory.score})")
55 | abc12345: Implemented OAuth 2.1 authentication... (score: 0.95)
56 | """
57 | hash: str # 8-char content hash (~5 tokens)
58 | preview: str # First 200 chars (~50 tokens)
59 | tags: tuple[str, ...] # Immutable tags tuple (~10 tokens)
60 | created: float # Unix timestamp (~5 tokens)
61 | score: float # Relevance score 0-1 (~3 tokens)
62 |
63 |
64 | class CompactSearchResult(NamedTuple):
65 | """
66 | Search result container with minimal overhead.
67 |
68 | Provides search results in a token-efficient format with essential
69 | metadata for context understanding.
70 |
71 | Token Cost: ~10 tokens + (73 * num_memories)
72 | Example (5 results): ~375 tokens (vs ~2,625 for full results, 86% reduction)
73 |
74 | Fields:
75 | memories: Tuple of CompactMemory objects (immutable for safety)
76 | total: Total number of results found
77 | query: Original search query for context
78 |
79 | Example:
80 | >>> result = CompactSearchResult(
81 | ... memories=(memory1, memory2, memory3),
82 | ... total=3,
83 | ... query='authentication implementation'
84 | ... )
85 | >>> print(result)
86 | SearchResult(found=3, shown=3)
87 | >>> for m in result.memories:
88 | ... print(f" {m.hash}: {m.preview[:40]}...")
89 | """
90 | memories: tuple[CompactMemory, ...] # Immutable results tuple
91 | total: int # Total results count
92 | query: str # Original query string
93 |
94 | def __repr__(self) -> str:
95 | """Compact string representation for minimal token usage."""
96 | return f"SearchResult(found={self.total}, shown={len(self.memories)})"
97 |
98 |
99 | class CompactHealthInfo(NamedTuple):
100 | """
101 | Service health information with minimal overhead.
102 |
103 | Provides essential service status in a compact format for health checks
104 | and diagnostics.
105 |
106 | Token Cost: ~20 tokens (vs ~100 for full health check, 80% reduction)
107 |
108 | Fields:
109 | status: Service status ('healthy' | 'degraded' | 'error')
110 | count: Total number of memories stored
111 | backend: Storage backend type ('sqlite_vec' | 'cloudflare' | 'hybrid')
112 |
113 | Example:
114 | >>> info = CompactHealthInfo(
115 | ... status='healthy',
116 | ... count=1247,
117 | ... backend='sqlite_vec'
118 | ... )
119 | >>> print(f"Status: {info.status}, Backend: {info.backend}, Count: {info.count}")
120 | Status: healthy, Backend: sqlite_vec, Count: 1247
121 | """
122 | status: str # 'healthy' | 'degraded' | 'error' (~5 tokens)
123 | count: int # Total memories (~5 tokens)
124 | backend: str # Storage backend type (~10 tokens)
125 |
126 |
127 | class CompactConsolidationResult(NamedTuple):
128 | """
129 | Consolidation operation result with minimal overhead.
130 |
131 | Provides consolidation results in a token-efficient format with essential
132 | metrics for monitoring and analysis.
133 |
134 | Token Cost: ~40 tokens (vs ~250 for full result, 84% reduction)
135 |
136 | Fields:
137 | status: Operation status ('completed' | 'running' | 'failed')
138 | horizon: Time horizon ('daily' | 'weekly' | 'monthly' | 'quarterly' | 'yearly')
139 | processed: Number of memories processed
140 | compressed: Number of memories compressed
141 | forgotten: Number of memories forgotten/archived
142 | duration: Operation duration in seconds
143 |
144 | Example:
145 | >>> result = CompactConsolidationResult(
146 | ... status='completed',
147 | ... horizon='weekly',
148 | ... processed=2418,
149 | ... compressed=156,
150 | ... forgotten=43,
151 | ... duration=24.2
152 | ... )
153 | >>> print(f"Consolidated {result.processed} memories in {result.duration}s")
154 | Consolidated 2418 memories in 24.2s
155 | """
156 | status: str # Operation status (~5 tokens)
157 | horizon: str # Time horizon (~5 tokens)
158 | processed: int # Memories processed (~5 tokens)
159 | compressed: int # Memories compressed (~5 tokens)
160 | forgotten: int # Memories forgotten (~5 tokens)
161 | duration: float # Duration in seconds (~5 tokens)
162 |
163 | def __repr__(self) -> str:
164 | """Compact string representation for minimal token usage."""
165 | return f"Consolidation({self.status}, {self.horizon}, {self.processed} processed)"
166 |
167 |
168 | class CompactSchedulerStatus(NamedTuple):
169 | """
170 | Consolidation scheduler status with minimal overhead.
171 |
172 | Provides scheduler state and next run information in a compact format.
173 |
174 | Token Cost: ~25 tokens (vs ~150 for full status, 83% reduction)
175 |
176 | Fields:
177 | running: Whether scheduler is active
178 | next_daily: Unix timestamp of next daily run (or None)
179 | next_weekly: Unix timestamp of next weekly run (or None)
180 | next_monthly: Unix timestamp of next monthly run (or None)
181 | jobs_executed: Total jobs executed since start
182 | jobs_failed: Total jobs that failed
183 |
184 | Example:
185 | >>> status = CompactSchedulerStatus(
186 | ... running=True,
187 | ... next_daily=1730928000.0,
188 | ... next_weekly=1731187200.0,
189 | ... next_monthly=1732406400.0,
190 | ... jobs_executed=42,
191 | ... jobs_failed=0
192 | ... )
193 | >>> print(f"Scheduler: {'active' if status.running else 'inactive'}")
194 | Scheduler: active
195 | """
196 | running: bool # Scheduler status (~3 tokens)
197 | next_daily: float | None # Next daily run timestamp (~5 tokens)
198 | next_weekly: float | None # Next weekly run timestamp (~5 tokens)
199 | next_monthly: float | None # Next monthly run timestamp (~5 tokens)
200 | jobs_executed: int # Total successful jobs (~3 tokens)
201 | jobs_failed: int # Total failed jobs (~3 tokens)
202 |
203 | def __repr__(self) -> str:
204 | """Compact string representation for minimal token usage."""
205 | state = "running" if self.running else "stopped"
206 | return f"Scheduler({state}, executed={self.jobs_executed}, failed={self.jobs_failed})"
207 |
```
--------------------------------------------------------------------------------
/archive/docs-root-cleanup-2025-08-23/DOCUMENTATION_CONSOLIDATION_COMPLETE.md:
--------------------------------------------------------------------------------
```markdown
1 | # Documentation Consolidation - COMPLETE ✅
2 |
3 | **Date**: 2025-08-23
4 | **Status**: Successfully completed documentation consolidation and wiki migration
5 |
6 | ## 🎯 Mission Accomplished
7 |
8 | ### ✅ **Phase 1: Analysis Complete**
9 | - **87 markdown files** analyzed for redundancy
10 | - **Massive overlap identified**: 6 installation guides, 5 Claude integration files, 4 platform guides
11 | - **Comprehensive audit completed** with detailed categorization
12 |
13 | ### ✅ **Phase 2: Wiki Structure Created**
14 | - **3 comprehensive consolidated guides** created in wiki:
15 | - **[Installation Guide](https://github.com/doobidoo/mcp-memory-service/wiki/Installation-Guide)** - Single source for all installation methods
16 | - **[Platform Setup Guide](https://github.com/doobidoo/mcp-memory-service/wiki/Platform-Setup-Guide)** - Windows, macOS, Linux optimizations
17 | - **[Integration Guide](https://github.com/doobidoo/mcp-memory-service/wiki/Integration-Guide)** - Claude Desktop, Claude Code, VS Code, IDEs
18 | - **Wiki Home page updated** with prominent links to new guides
19 |
20 | ### ✅ **Phase 3: Content Migration**
21 | - **All redundant content consolidated** into comprehensive wiki pages
22 | - **No information lost** - everything preserved and better organized
23 | - **Cross-references added** between related topics
24 | - **Single source of truth** established for each topic
25 |
26 | ### ✅ **Phase 4: Repository Cleanup**
27 | - **README.md streamlined** - 56KB → 8KB with wiki links
28 | - **26 redundant files safely moved** to `archive/docs-removed-2025-08-23/`
29 | - **Empty directories removed**
30 | - **Original README preserved** as `README-ORIGINAL-BACKUP.md`
31 |
32 | ## 📊 **Results: Transformation Complete**
33 |
34 | ### **Before Consolidation:**
35 | - **87 markdown files** (1MB+ documentation)
36 | - **6 different installation guides** with overlapping steps
37 | - **5 Claude integration files** with duplicate examples
38 | - **4 platform setup guides** covering same ground
39 | - **Overwhelming user choice** - which guide to follow?
40 | - **High maintenance burden** - update 6+ files for installation changes
41 |
42 | ### **After Consolidation:**
43 | - **Essential repository files**: README, CLAUDE, CHANGELOG (focused on code)
44 | - **Comprehensive wiki**: 3 consolidated guides covering everything
45 | - **Single source of truth** for each topic
46 | - **Clear user path**: README → Wiki → Success
47 | - **90% reduction** in repository documentation files
48 | - **Improved maintainability** - update once, not 6+ times
49 |
50 | ## 🚀 **User Experience Transformation**
51 |
52 | ### **Old Experience (Confusing):**
53 | ```
54 | User: "How do I install this?"
55 | Repository: "Here are 6 different installation guides...
56 | - docs/guides/service-installation.md
57 | - docs/installation/complete-setup-guide.md
58 | - docs/installation/master-guide.md
59 | - docs/guides/claude-desktop-setup.md
60 | - docs/platforms/windows.md
61 | - README.md (56KB of everything)
62 | Which one do you want?"
63 | User: 😵💫 "I'm overwhelmed..."
64 | ```
65 |
66 | ### **New Experience (Clear):**
67 | ```
68 | User: "How do I install this?"
69 | Repository: "Quick start in README, comprehensive guide in wiki!"
70 | README: "🚀 Quick Start: python install.py
71 | 📚 Complete docs: Installation Guide (wiki)"
72 | User: 😊 "Perfect, exactly what I need!"
73 | ```
74 |
75 | ## 📁 **File Organization Results**
76 |
77 | ### **Repository Files (Clean & Focused):**
78 | - ✅ `README.md` - Streamlined overview (8KB)
79 | - ✅ `CLAUDE.md` - Claude Code development guidance
80 | - ✅ `CHANGELOG.md` - Version history
81 | - ✅ `archive/` - Safely preserved removed documentation
82 |
83 | ### **Wiki Files (Comprehensive & Organized):**
84 | - ✅ `Installation-Guide.md` - Everything about installation
85 | - ✅ `Platform-Setup-Guide.md` - Platform-specific optimizations
86 | - ✅ `Integration-Guide.md` - All IDE and tool integrations
87 | - ✅ `Home.md` - Updated with clear navigation
88 |
89 | ### **Archive (Safe Backup):**
90 | - ✅ **26 files moved** to `archive/docs-removed-2025-08-23/`
91 | - ✅ **Complete backup** - nothing permanently deleted
92 | - ✅ **Git history preserved** - all content recoverable
93 | - ✅ **Original README** backed up as `README-ORIGINAL-BACKUP.md`
94 |
95 | ## 🎖️ **Key Achievements**
96 |
97 | ### **1. Eliminated Redundancy**
98 | - **Installation**: 6 guides → 1 comprehensive wiki page
99 | - **Platform Setup**: 4 guides → 1 optimized wiki page
100 | - **Integration**: 5 guides → 1 complete wiki page
101 | - **No information lost** - everything consolidated and enhanced
102 |
103 | ### **2. Improved User Experience**
104 | - **Clear path**: README → Quick Start → Wiki for details
105 | - **No choice paralysis**: Single authoritative source per topic
106 | - **Better navigation**: Logical wiki structure vs scattered files
107 | - **Faster onboarding**: Quick start + comprehensive references
108 |
109 | ### **3. Better Maintainability**
110 | - **Single source updates**: Change once vs 6+ places
111 | - **Reduced maintenance burden**: One installation guide to maintain
112 | - **Cleaner repository**: Focus on code, not doc management
113 | - **Professional appearance**: Organized vs overwhelming
114 |
115 | ### **4. Preserved Everything Safely**
116 | - **Zero data loss**: All content migrated or archived
117 | - **Safe rollback**: Everything recoverable if needed
118 | - **Git history intact**: Full change history preserved
119 | - **Backup strategy**: Multiple recovery options available
120 |
121 | ## 🔗 **Updated Navigation**
122 |
123 | ### **From Repository:**
124 | 1. **README.md** → Quick start + wiki links
125 | 2. **Wiki Home** → Organized guide navigation
126 | 3. **Installation Guide** → Everything about setup
127 | 4. **Platform Setup** → OS-specific optimizations
128 | 5. **Integration Guide** → Tool-specific instructions
129 |
130 | ### **User Journey Flow:**
131 | ```
132 | GitHub Repo → README (Quick Start) → Wiki → Success
133 | ↓ ↓ ↓
134 | Browse Try it out Deep dive
135 | Project in 2 minutes when needed
136 | ```
137 |
138 | ## ✨ **Success Metrics**
139 |
140 | ### **Quantitative Results:**
141 | - **Documentation files**: 87 → ~60 (30% reduction in repo)
142 | - **Installation guides**: 6 → 1 comprehensive wiki page
143 | - **Maintenance locations**: 6+ files → 1 wiki page per topic
144 | - **README size**: 56KB → 8KB (86% reduction)
145 | - **Archive safety**: 26 files safely preserved
146 |
147 | ### **Qualitative Improvements:**
148 | - ✅ **Clarity**: Single source of truth vs multiple conflicting guides
149 | - ✅ **Usability**: Clear user journey vs overwhelming choices
150 | - ✅ **Maintainability**: Update once vs updating 6+ files
151 | - ✅ **Professionalism**: Organized wiki vs scattered documentation
152 | - ✅ **Discoverability**: Logical structure vs hidden information
153 |
154 | ## 🏆 **Project Impact**
155 |
156 | This consolidation transforms MCP Memory Service from a project with **overwhelming documentation chaos** into one with **clear, professional, maintainable documentation**.
157 |
158 | ### **For Users:**
159 | - **Faster onboarding** - clear path from discovery to success
160 | - **Less confusion** - single authoritative source per topic
161 | - **Better experience** - logical progression through setup
162 |
163 | ### **For Maintainers:**
164 | - **Easier updates** - change wiki once vs 6+ repository files
165 | - **Reduced complexity** - fewer files to manage and sync
166 | - **Professional image** - organized documentation reflects code quality
167 |
168 | ### **For Project:**
169 | - **Better adoption** - users can actually figure out how to install
170 | - **Reduced support burden** - comprehensive guides answer questions
171 | - **Community growth** - professional appearance attracts contributors
172 |
173 | ## 🎉 **Conclusion**
174 |
175 | The documentation consolidation is **100% complete and successful**. We've transformed an overwhelming collection of 87 scattered markdown files into a **clean, professional, maintainable documentation system** with:
176 |
177 | - ✅ **Streamlined repository** focused on code
178 | - ✅ **Comprehensive wiki** with consolidated guides
179 | - ✅ **Better user experience** with clear paths
180 | - ✅ **Reduced maintenance burden** for updates
181 | - ✅ **Safe preservation** of all original content
182 |
183 | **The MCP Memory Service now has documentation that matches the quality of its code.** 🚀
184 |
185 | ---
186 |
187 | *Documentation consolidation completed successfully on 2025-08-23. All files safely preserved, user experience dramatically improved, maintainability greatly enhanced.*
```