AgentRecall-MCP

41/100

⭐ 258 stars 🔀 23 forks 🔧 TypeScript 📄 MIT 🕐 2026-05-26

🤖 AI/MLagent-memoryai-agentsclaude-codeintelligent-distancemcpmcp-serverquality-loopsession-memory

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

📊 Score Breakdown

Recency9/20

Documentation6/15

Tests4/10

Auth/Security4/10

Star Velocity6/15

Security Audit6/15

Install Docs6/15

Language: TypeScript

⚡ Install

# Clone and install
git clone https://github.com/Goldentrii/AgentRecall-MCP
cd agentrecall-mcp
npm install  # or: pip install -r requirements.txt

View on GitHub → 📖 README 🐛 Issues Browse All Servers

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About AgentRecall-MCP — AgentRecall-MCP is a 🤖 AI/ML MCP server with a quality score of 41/100 (D grade). It has ⭐258 GitHub stars, 🔀23 forks, and is written in TypeScript. 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 k

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