* 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