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ruvnet / memory-bridge

Bridge Claude Code auto-memory into AgentDB with ONNX embeddings, deduplicate, and enable unified cross-project search

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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:
    `bash
    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