recall

Compare original and translation side by side

🇺🇸

Original

English
🇨🇳

Translation

Chinese
The user wants to recall past context about: $ARGUMENTS
Use the
memory_smart_search
MCP tool (provided by the agentmemory server that this plugin wires up automatically via
.mcp.json
) with the user's query as the
query
argument and
limit: 10
. The tool runs hybrid BM25 + vector + graph-expanded search over captured observations and returns ranked results.
Present the returned results to the user in a readable format:
  • Group by session
  • For each observation show its type, title, and narrative
  • Highlight the most important observations (importance >= 7)
  • If no results come back, suggest 2-3 alternative search terms the user could try
Do NOT make up or hallucinate observations. Only present what the MCP tool actually returned. If
memory_smart_search
isn't available, the stdio MCP shim didn't start — tell the user to:
  1. Run
    /plugin list
    in Claude Code and confirm
    agentmemory
    shows as enabled.
  2. Restart Claude Code (the plugin's
    .mcp.json
    is only read on startup).
  3. Check
    /mcp
    to see whether the
    agentmemory
    MCP server is connected.
用户想要回忆以下主题的过往上下文:$ARGUMENTS
使用
memory_smart_search
MCP工具(由agentmemory服务器提供,该插件通过
.mcp.json
自动连接),将用户的查询作为
query
参数,并设置
limit: 10
。该工具会对已捕获的观测记录执行BM25+向量+图扩展的混合搜索,并返回排序后的结果。
以易读的格式向用户展示返回的结果:
  • 按会话分组
  • 为每条观测记录显示其类型、标题和描述内容
  • 高亮显示最重要的观测记录(重要性≥7)
  • 如果没有返回结果,建议用户尝试2-3个替代搜索词
请勿编造或虚构观测记录。 仅展示MCP工具实际返回的内容。如果
memory_smart_search
不可用,说明stdio MCP垫片未启动,请告知用户执行以下操作:
  1. 在Claude Code中运行
    /plugin list
    ,确认
    agentmemory
    已启用。
  2. 重启Claude Code(插件的
    .mcp.json
    仅在启动时读取)。
  3. 查看
    /mcp
    ,确认agentmemory MCP服务器已连接。