memory-bridge

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__plugin_ruflo-core_ruflo__memory_import_claude mcp__plugin_ruflo-core_ruflo__memory_bridge_status mcp__plugin_ruflo-core_ruflo__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: Reads all memory files (current project or all projects) Generates 384-dim ONNX embeddings (all-MiniLM-L6-v2) Stores in AgentDB's claude-memories namespace with HNSW indexing Deduplicates against existing entries (cosine similarity > 0.95) Enables unified semantic search across all memory sources Steps Check bridge health : mcp__plugin_ruflo-core_ruflo__memory_bridge_status({}) Verify: Claude files count, AgentDB entries, SONA state, connection status. Import memories : Current project: mcp__plugin_ruflo-core_ruflo__memory_import_claude({}) All projects: mcp__plugin_ruflo-core_ruflo__memory_import_claude({ allProjects: true }) CLI alternative: node .claude/helpers/auto-memory-hook.mjs import-all Verify import : mcp__plugin_ruflo-core_ruflo__memory_bridge_status({}) Confirm entry counts match expected file counts. Deduplicate (if --dedupe): Search for near-duplicate entries (cosine > 0.95) and merge them, keeping the most recent version. Test unified search : mcp__plugin_ruflo-core_ruflo__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