
Recall | AI memory for your work sessions
保存和组织工作会话,用AI记忆即时检索任何工作。
@vitverb · X
hi :) One tap back to the work you meant to finish. No tasks to manage. Nothing to set up. Local-first
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保存和组织工作会话,用AI记忆即时检索任何工作。
@vitverb · X
hi :) One tap back to the work you meant to finish. No tasks to manage. Nothing to set up. Local-first


永久存档GitHub仓库的流量、克隆和来源数据。
@resetnak · X
- Github Repository statistics for opensource projects! Give it a try

为 AI 代理提供跨 Claude Code、Cursor 等 MCP 应用的持久化内存系统。
FabianBeiner · HN
CMEM – Persistent Memory for AI Coding Agents

在Second Mind中保存书签、视频和笔记,AI知识库会总结内容并关联想法。
@vhm205 · X
Too many news articles, too many bookmarks, too many notes, but I never open them again because I don't know where to find them

用任何AI构建和托管应用
@akhileshrangani · X
i built codex micro and used it inside of claude to control codex AND claude code it uses a herdr bridge that is running on my mac talks it through a ngrok proxy uses to render inside of claude

为您的GitHub仓库编写代码的AI开发者。
vpetroff · HN
CobaltCode – Dedicated persistent computer for Codex

搜索索引化的开源代码和软件包,包含版本、依赖和漏洞信息。
@Jack_Timonen · X

为AI代理添加持久用户内存的SDK。
u/foric0 · Reddit
Built a memory layer so I stop re-explaining my project to every AI tool Every new Claude or Cursor session starts from zero. Same stack, same conventions, same things I already tried and dropped, explained again. Agent Magnet fixes that. Learns as you work, shares one memory across Claude, Cursor, and Codex. Team memory too, one person learns something, the rest of the team has it. Not the first tool trying to solve this, a few others take the retrieve-everything approach.