by Goldentrii · MCP Server · ★ 298
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
AgentRecall Your agent doesn't just remember. It learns how you think. Every correction saved is a mistake never repeated. Every insight compounded is tokens never wasted rebuilding context. Persistent, compounding memory + automatic correction capture. MCP server + SDK + CLI. <img src="https://img.shields.io/badge/Obsidian-compatible-7
| Stars | 298 |
| Forks | 52 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 50.958/100 |
| Open Issues | 27 |
| Last Updated | 2026-06-12 |
| Created | 2026-03-24 |
| Platforms | claude-code, cli, codex, gemini, mcp, node |
| Est. Tokens | ~110k |
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AgentRecall-MCP is 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. It is categorized as a MCP Server with 298 GitHub stars.
AgentRecall-MCP is primarily written in TypeScript. It covers topics such as agent-memory, ai-agents, claude-code.
You can find installation instructions and usage details in the AgentRecall-MCP GitHub repository at github.com/Goldentrii/AgentRecall-MCP. The project has 298 stars and 52 forks, indicating an active community.
AgentRecall-MCP is released under the MIT license, making it free to use and modify according to the license terms.
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