菜单
Search agentmemory for past observations, sessions, and learnings about a topic. Use when the user says "recall", "remember", "what did we do", or needs context from past sessions.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Trace a file, function, or line back to the agent session that produced its current commit. Use when the user asks "why is this code here", "what was the agent doing when this changed", or wants context on a specific location in the codebase.
List recent git commits that are linked to agent sessions, optionally filtered by branch or repo. Use when the user asks "show agent commits", "what has the agent shipped", or wants a list of commits with their session context.
Delete specific observations or sessions from agentmemory. Use when user says "forget this", "delete memory", or wants to remove specific data for privacy.
Resume the most recent agent session for the current working directory. Use when the user says "where were we", "resume", "handoff", "pick up where I left off", or starts a session with no fresh context.
Summarize the last N agent sessions for the current project, grouped by date. Use when the user asks "recap", "what have we been doing", "this week", "today", or wants a rollup of recent work.
Explicitly save an insight, decision, or learning to agentmemory's long-term storage. Use when the user says "remember this", "save this", or wants to preserve knowledge for future sessions.
| name | recall |
| description | Search agentmemory for past observations, sessions, and learnings about a topic. Use when the user says "recall", "remember", "what did we do", or needs context from past sessions. |
| argument-hint | [search query] |
| user-invocable | true |
The user wants to recall past context about: $ARGUMENTS
Use the memory_smart_search MCP tool (provided by the agentmemory server that this plugin wires up automatically via .mcp.json) with the user's query as the query argument and limit: 10. The tool runs hybrid BM25 + vector + graph-expanded search over captured observations and returns ranked results.
Present the returned results to the user in a readable format:
Do NOT make up or hallucinate observations. Only present what the MCP tool actually returned. If memory_smart_search isn't available, the stdio MCP shim didn't start — tell the user to:
/plugin list in Claude Code and confirm agentmemory shows as enabled..mcp.json is only read on startup)./mcp to see whether the agentmemory MCP server is connected.