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From ruflo-rag-memory
Bridge Claude Code auto-memory into AgentDB with ONNX vector embeddings
How this skill is triggered — by the user, by Claude, or both
Slash command
/ruflo-rag-memory:memory-bridgeThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Import Claude Code memories into AgentDB for semantic search across sessions.
Import Claude Code memories into AgentDB for semantic search across sessions.
Via MCP:
mcp__claude-flow__memory_import_claude({})mcp__claude-flow__memory_import_claude({ allProjects: true })mcp__claude-flow__memory_bridge_status({})mcp__claude-flow__memory_search_unified({ query: "QUERY", limit: 5 })The bridge auto-imports on session-start. Memories get 384-dim ONNX embeddings (all-MiniLM-L6-v2) for cross-namespace unified search.
Results include source attribution: claude-code, auto-memory, or agentdb.
Searches MemPalace before answering questions about past work, people, projects, or prior decisions. Returns verbatim stored content instead of guessing from model memory.
Guides Payload CMS config (payload.config.ts), collections, fields, hooks, access control, APIs. Debugs validation errors, security, relationships, queries, transactions, hook behavior.
Implements vector databases with Pinecone, Weaviate, Qdrant, Milvus, pgvector for semantic search, RAG, recommendations, and similarity systems. Optimizes embeddings, indexing, and hybrid search.
npx claudepluginhub k2k22k2k22/ruflo --plugin ruflo-rag-memory