Set PRAGMA busy_timeout=5000 (5 seconds) to allow SQLite to retry
when the database is locked instead of failing immediately.
This fixes race conditions when multiple goroutines try to write
simultaneously, particularly in tests where StoreObservation spawns
async cleanup goroutines.
Root cause:
- StoreObservation launches goroutine -> CleanupOldObservations
- Multiple concurrent cleanups caused "database is locked" errors
- Without busy_timeout, SQLite fails immediately on lock contention
Solution:
- Add 5-second busy timeout for automatic retry on lock
- Standard practice for concurrent SQLite usage
- Works with existing WAL mode configuration
Fixes TestObservationStore_CleanupOldObservations in CI.
- [x] Add AST-aware code chunking for Go, Python, and TypeScript using tree-sitter
- [x] Implement LEANN-inspired hybrid vector storage with hub detection and selective embedding storage (60-80% savings)
- [x] Add observation relationship graph with CSR format and edge detection (file overlap, semantic similarity, temporal, concept)
- [x] Implement graph-aware search with two-level traversal and relationship-based ranking
- [x] Add auto-tuning system for dynamic hub threshold adjustment based on query performance
- [x] Add comprehensive metrics tracking for vector storage, queries, latency, and graph traversals
- [x] Update configuration system with graph and hybrid storage settings
- [x] Add graph stats and vector metrics endpoints to worker service
- [x] Enhance UI sidebar with advanced metrics display and graph visualization
- [x] Optimize struct field alignment throughout codebase for memory efficiency
- [x] Update documentation with LEANN Phase 2 features and performance benefits
- [x] Add tree-sitter dependency for AST parsing
* refactor(hooks): simplify hook execution with shared context
- [x] Extract BaseInput struct to eliminate duplicate fields across hooks
- [x] Create RunHook handler pattern for session-start and user-prompt
- [x] Create RunStatuslineHook for fast statusline rendering without worker startup
- [x] Add HookContext struct to pass port, project, CWD, SessionID to handlers
- [x] Add db/interface.go with ObservationReader/Writer interfaces
- [x] Add comprehensive conflict management tests in sqlite/conflict_test.go
- [x] Add vector client tests for Count, ModelVersion, NeedsRebuild, GetStaleVectors
- [x] Add FilterByThreshold helper tests for query result filtering
- [x] Make handlers_test more robust for network-dependent update checks
- [x] Update package versions in UI
* Move to GORM + general cleanup
* feat(mcp): add observation relations discovery and scoring integration
- [x] Add find_related_observations MCP tool for discovering related observations by confidence
- [x] Integrate scoring calculator and recalculator into MCP server initialization
- [x] Add pattern, relation, and session stores to MCP server dependencies
- [x] Register MCP server in Claude Code settings during plugin installation
- [x] Update install scripts (bash, PowerShell) to configure MCP server settings
- [x] Switch plugin manifest files to template-based versioning (plugin.json.tpl, marketplace.json.tpl)
- [x] Update all MCP server tests to pass new dependency parameters
* Resolves issue #13
- Switched model to bge-small-en-v1.5
- Added lazy re-embedding
- Added model version tracking per vector
- Added conversion of vectors to the new model
* Add lfs support to the workflow.
* Implements importance scoring with decay + voting #6
* Resolves issue #5 by marking observations as superseeded and scheduled for deletion
* Implement pattern detection #7
* Improve injections and observations accuracy
- Session start: Recent observations for project context (recency-based)
- User prompt: Semantically relevant observations (similarity-based with threshold)
* Added two stage retrieval with bi and cross encoder #8
* Implement query expansion and reformulation #9
* Knowledge graph and relationships ( resolves#4 )
- File Overlap Detection: Detects relationships when observations modify/read the same files
- Concept Overlap Detection: Detects relationships based on shared semantic concepts
- Type Progression Detection: Infers relationships from natural observation type progressions (e.g., discovery → bugfix = "fixes")
- Temporal Proximity Detection: Detects relationships between observations in the same session within 5 minutes
- Narrative Mention Detection: Detects explicit relationship language in narratives (e.g., "fixes", "depends on", "supersedes")
* Add visualisation of the relations to the dashboard.
* fixup! Add visualisation of the relations to the dashboard.
* Update documentation with new settings and screenshots.
lukaszraczylo