agentmemory: Persistent Memory for AI Coding Agents

Repositoryrohitg00/agentmemoryTool

agentmemory is an open-source TypeScript solution providing persistent memory for coding agents and MCP clients. Powered by the iii engine, it builds on Andrej Karpathy's LLM Wiki pattern by introducing confidence scoring, lifecycle management, knowledge graphs, and hybrid search.

Key points

  1. Persistent memory support for Claude Code, GitHub Copilot CLI, Cursor, Gemini CLI, Hermes, OpenClaw, and any MCP client.
  2. Extends Karpathy's LLM Wiki design with confidence scoring, lifecycles, knowledge graphs, and hybrid search.
  3. Built with TypeScript on top of the iii engine.
  4. Distributed under the Apache-2.0 license via npm (@agentmemory/agentmemory).

Why it matters

Developers frequently lose time re-explaining architectural decisions and coding styles to AI assistants across sessions. Persistent memory maintains this context and cuts down repeated prompting.

Analysis

Targeted at developers using terminal or editor-based coding agents, agentmemory tackles context loss across separate runs. With more than 28,000 GitHub stars, automated CI test badges, localized documentation, and an active npm release, the project demonstrates significant adoption and community momentum.

Mentioned links

Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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  • Mattersburg
    Johann Nepomuk Bergerstraße 7/2/14
    7210 Mattersburg, Austria
  • Vienna
    Ungargasse 64-66/3/404
    1030 Wien, Austria

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