mflow-memory

# M-flow Memory Gives your agent persistent long-term memory powered by M-flow's cognitive memory engine. ## Setup Run once: ```bash bash ~/.openclaw/skills/mflow-memory/scripts/setup.sh ``` This starts the M-flow MCP server and registers it with OpenClaw. ## Memory Strategy Follow these rules for every conversation: 1. **Before answering**, silently call `search` with the user's question to check for relevant memories. If memories are found, use them as context. 2. **At the end of a conversation** that contained meaningful information (decisions, facts, preferences, plans — not greetings or small talk), call `save_interaction` with the conversation content. 3. **When the user explicitly asks you to remember something** ("remember that I'm allergic to peanuts", "note that the deadline is Friday"), call `save_interaction` immediately — do not wait until the end of the conversation. 4. **When the user says** "remember", "last time", "before", "previously", or references past events, always call `search` first. 5. **Do not store** trivial exchanges, repeated information, or content the user asks you to forget. ## Available Tools (via MCP) After setup, these tools are automatically available: - `save_interaction` — Store a conversation as memory (preferred for dialogue) - `search` — Search memories by natural language query - `query` — Ask a question and get an answer grounded in memories - `memorize` — Build knowledge graph from previously added data - `ingest` — One-step store + memorize (for documents) - `list_data` — List stored datasets - `delete` — Remove specific memories - `memorize_status` — Check if memorization is still processing - `prune` — Reset all memory ## Troubleshooting ```bash # Check if M-flow is running bash ~/.openclaw/skills/mflow-memory/scripts/status.sh # Restart docker restart mflow-memory # View logs docker logs mflow-memory --tail 20 # Complete removal bash ~/.openclaw/skills/mflow-memory/scripts/teardown.sh ```