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:

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__plugin_ruflo-core_ruflo__memory_bridge_status({}) Verify: Claude files count, AgentDB entries, SONA state, connection status.

2. 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
   

3. Verify import: mcp__plugin_ruflo-core_ruflo__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__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