AI 智能体2 weeks ago
MemoFS Cloud — The memory plane for your AI agents
MemoFS Cloud — 为AI代理提供文件优先内存运行时，支持仪表板和HTTPS API访问。
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@memofsdev · X
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MemoFS Cloud — 为AI代理提供文件优先内存运行时，支持仪表板和HTTPS API访问。
@memofsdev · X
在平台上管理和同步你的AI Agent技能配置，避免供应商锁定。
@matebenyovszky · X
I use multiple providers Claude Code, Cursor, Codex, Hermes, Antigravity etc. and multiple machines. Over time, each one ended up with its own slightly different skills and tools 😰 So I started where a playbook is a portable bundle containing my MCP/OpenAPI servers, skills, prompts, personas and memory, which I can take with me into whichever environment I’m using. I’m still trying to figure out whether this is useful beyond my own workflow. Ideas? 🤔 🍎 Source / open source on Github: matebenyovszky/agentplaybooks I also built an npm CLI that audits a project and syncs the same skills and MCP definitions across harnesses.
Turnlog：免费开源 CLI，索引和搜索 Claude Code 会话。
@gormovsisyan · X
Your AI agent forgets every session; Turnlog indexes them all so you (and the agent) can search years of work in seconds.
Knowl is an MCP memory server for Claude Code, Cursor and Codex. What your agents work out survives the session, and a change retires what it replaced — so the answer they read bac
@dat999zx · X
I built Knowl so my AI agents stop forgetting what's true. One memory they all read and write, always current. Runs entirely local — Claude Code, Codex, Cursor. Or for team sync, and reach the same memory from Claude and ChatGPT on the web.