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Renor开源基于MCP的跨智能体共享记忆引擎

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2026年11月5日，Renor正式开源了一款基于MCP协议的跨AI编程智能体共享记忆引擎。该引擎旨在为Claude Code、Codex、Cursor、Grok等任意MCP客户端提供跨会话共享记忆能力，使不同工具能够跨平台复用项目决策与排错记录。在数据存储与检索方面，Renor的记忆数据默认以纯Markdown格式保存在本地，通过SQLite与关键词词干检索进行索引，无需依赖嵌入向量模型即可运行。此外，官方数据显示其在LongMemEval-S评测中达到了94.4%的召回准确率。

AI-generated from reports · Updated 4 hours ago

Latest developmentsNov 5 01:06
Renor开源基于MCP协议的共享记忆引擎，支持多编程智能体跨工具复用记忆。

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Nov 5
  1. Hacker News · AISelected
    Renor open-sourced: An MCP-based shared memory engine across AI agents

    Renor is an open-source engine that leverages the Model Context Protocol (MCP) to provide cross-session shared memory for coding agents, allowing any MCP client—such as Claude Code, Codex, Cursor, or Grok—to reuse project decisions and debugging logs across tools. Memory data is stored locally in plain Markdown by default and indexed using SQLite and keyword stemming. It operates without requiring embedding models and achieved a 94.4% recall accuracy on the LongMemEval-S benchmark.

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