agent-memory

# Agent Memory Give your agent persistent memory across sessions. Before starting any task, recall what went wrong last time. After completing work, capture whether it succeeded or failed. Prevention rules are auto-generated from repeated mistakes. ## Setup Add the MCP server (one-time): ```bash claude mcp add thumbgate -- npx -y thumbgate serve ``` No API key needed. All data stays local. ## When to Use - Starting a new task or session — recall past context first - After completing work that succeeded or failed — capture feedback - When the agent keeps making the same mistake — check prevention rules ## Workflow ### Step 1: Recall past context (do this FIRST on every task) Call the `recall` MCP tool with a description of your current task. The tool returns: - Past feedback relevant to this task (vector similarity search) - Active prevention rules (auto-generated from repeated failures) - Recent feedback summary with approval rate Read the prevention rules carefully. These are patterns that failed before — follow them. ### Step 2: Do your work Complete the task as normal. Keep track of what you did and whether it worked. ### Step 3: Capture feedback Call the `capture_feedback` MCP tool: **If succeeded:** - signal: `up` - context: What worked and why - tags: Category labels **If failed:** - signal: `down` - context: What you were trying to do - whatWentWrong: Specific failure description - whatToChange: How to avoid this next time - tags: Category labels Vag...