--- name: memory-bridge description: Bridge Claude Code auto-memory into AgentDB with ONNX embeddings, deduplicate, and enable unified cross-project search argument-hint: "[--all-projects] [--dedupe]" allowed-tools: Bash Read mcp__claude-flow__memory_import_claude mcp__claude-flow__memory_bridge_status mcp__claude-flow__memory_search_unified --- # Memory Bridge Import Claude Code's native auto-memory files into AgentDB for semantic search across sessions and projects. ## What it does Claude Code stores memories as markdown files in `~/.claude/projects/*/memory/*.md`. This bridge: 1. Reads all memory files (current project or all projects) 2. Generates 384-dim ONNX embeddings (all-MiniLM-L6-v2) 3. Stores in AgentDB's `claude-memories` namespace with HNSW indexing 4. Deduplicates against existing entries (cosine similarity > 0.95) 5. Enables unified semantic search across all memory sources ## Steps 1. **Check bridge health**: `mcp__claude-flow__memory_bridge_status({})` Verify: Claude files count, AgentDB entries, SONA state, connection status. 2. **Import memories**: - Current project: `mcp__claude-flow__memory_import_claude({})` - All projects: `mcp__claude-flow__memory_import_claude({ allProjects: true })` CLI alternative: ```bash node .claude/helpers/auto-memory-hook.mjs import-all ``` 3. **Verify import**: `mcp__claude-flow__memory_bridge_status({})` Confirm entry counts match expected file counts. 4. **Deduplicate** (if --dedupe): Search for near-duplicate entries (cosine > 0.95) and merge them, keeping the most recent version. 5. **Test unified search**: `mcp__claude-flow__memory_search_unified({ query: "test query", limit: 3 })` Results include source attribution: `claude-code`, `auto-memory`, or `agentdb`. ## Auto-import The bridge runs automatically on `session-start` via the SessionStart hook. Manual invocation is only needed for: - First-time import of all projects - After bulk memory changes outside normal sessions - Forcing re-embedding after model updates ## Integration with ruvector When `ruflo-ruvector` is loaded, bridged memories are also indexed by ruvector for: - Hybrid search (sparse + dense with RRF) - Graph RAG multi-hop queries across memory entries - Brain knowledge sharing across sessions