Persistent, correction-driven memory for AI agents. Cross-session, cross-platform (Claude Code, Codex, Gemini — any M...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Still active enough to matter. Good candidate for a fast stack test instead of a long evaluation loop.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health 71/100. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Multiple
Model
Claude
Fastest way to find out if AgentRecall-MCP belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add agentrecall-mcp -- npx agentrecall-mcpRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove agentrecall-mcpNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ agentrecall-mcp ← registers here
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
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: July 16, 2026
Repository state: Not marked archived
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