Goldentrii/AgentRecall-MCP

296 stars · Last commit 2026-06-03

Persistent, correction-driven memory for AI agents. Cross-session, cross-platform (Claude Code, Codex, Gemini — any MCP client). Learns from mistakes, compresses context to save tokens, consolidates knowledge overnight. npm: agent-recall-mcp

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<h1 align="center">AgentRecall</h1>

<p align="center"><strong>Your agent doesn't just remember. It learns how you think.</strong></p>
<p align="center"><strong>你的 agent 不只是记得。它在学你怎么想。</strong></p>
<p align="center">Every correction saved is a mistake never repeated. Every insight compounded is tokens never wasted rebuilding context.<br/>每一次纠正都是不会重复的错误。每一次复合都是不会重建的上下文。</p>
<p align="center">Persistent, compounding memory + automatic correction capture. MCP server + SDK + CLI.</p>

<p align="center">
  <a href="https://t.me/+ywZwoHrg3AM0NDVi"><img src="https://img.shields.io/badge/Telegram-Community-2CA5E0?style=flat-square&logo=telegram" alt="Telegram Community"></a>
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  <a href="https://github.com/Goldentrii/AgentRecall/blob/main/LICENSE"><img src="https://img.shields.io/badge/license-MIT-brightgreen?style=flat-square" alt="License"></a>
  <a href="https://lobehub.com/mcp/goldentrii-agentrecall"><img src="https://lobehub.com/badge/mcp/goldentrii-agentrecall" alt="MCP Badge"></a>
  <img src="https://img.shields.io/badge/MCP-18_tools-orange?style=flat-square" alt="Tools">
  <img src="https://img.shields.io/badge/memory_layers-5-7C3AED?style=flat-square" alt="5 layers">
  <img src="https://img.shields.io/badge/cloud-zero-blue?style=flat-square" alt="Zero Cloud">
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  <img src="https://img.shields.io/badge/decay-FSRS--lite-3B82F6?style=flat-square" alt="FSRS-lite decay">
  <img src="https://img.shields.io/badge/retrieval-Hopfield_%2B_RRF-8B5CF6?style=flat-square" alt="Hopfield retrieval">

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