ai-memory：跨AI编程智能体的长期记忆开源工具
登上GitHub Trending的akitaonrails/ai-memory项目，定位为面向AI编程智能体的长期记忆方案，主打在不同厂商的编程CLI之间交接工作。项目README称，用户在Claude Code中途退出后，可在同一目录启动OpenAI Codex继续任务，无需重新说明架构、失败尝试和未决问题。README还称其统一接入Claude Code、Codex、Cursor、Gemini CLI、OpenCode、Grok、Devin、Kimi、Kiro等二十多个harness，记忆以git托管的纯Markdown wiki为真源，可由用户自行部署服务器，并支持多用户鉴权与审计日志。上述能力均为项目方自述，尚无独立评测。
它针对的是各家编程智能体记忆功能各自为政、换工具即失忆的问题，提出以自建服务器和纯文本wiki为中心、跨agent与跨机器的共享记忆方案。
Solution for long term memory for agent coding CLIs and to facilitate handoff between different agent vendors
Long-term memory for AI coding agents. Quit Claude Code mid-task, start OpenAI Codex in the same directory, continue without re-explaining the architecture, the failed approaches, or the open questions.
Website: aimemory.sh
Why ai-memory
Your coding agent probably has a memory feature already. Claude Code takes its own notes, Cursor remembers some things, and every platform is adding more. They all have the same limits: the notes live on one machine, belong to one agent, and drop out of view when you switch tools or hand the work to a teammate.
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#ai-memory#Claude Code#OpenAI Codex#Cursor#Gemini CLI#OpenCode#Devin#Kimi#Kiro