
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

将讲座PDF转化为带页码引用的智能学习笔记。
u/Leanna_Every · Reddit
I built StudyLayer after spending days turning lecture slides into useful notes https://reddit.com/link/1w20w3d/video/kbizu752cemh1/player I’m an undergrad student, and I built StudyLayer to solve my own problem. When I uploaded an entire lecture PDF to a general AI chat, the explanation was often too generic and inconsistent. Important details could be lost. My workaround was painful. Take a screenshot of one page, paste it into the chat, request an explanation, copy the response into


为AI编码代理提供共享记忆,存储团队发现和产品知识。
snakaya · HN
Vibsync – One Shared Memory for Claude Code, Cursor and Codex (MCP)

为 AI 代理添加跨会话和设备的持久化记忆引擎。
@v1b3_x · X
I built a persistent, Git-like memory engine for LLM agents so they never lose context across session. works with ClaudeDesktop <—> Claude Code <—> Codex

一次存储共享记忆,在AI系统和团队中复用。
Repeater22746 · HN
ContextVault – Shared memory layer for your AI and your team

与能记忆并学习的 AI Veiled Prime 进行持续对话。
@Vematrex · X
5M views. 13K shares. Building Veiled Prime at The most insightful AI we know how to make. Built for people doing real work. One conversation. Real memory. No resets.

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.

在AI助手间共享上下文,让它们记住代码库和任务历史。
@dorikuio · X
AI agents have amnesia — Claude Code figures out the codebase, an hour later Codex starts from zero. So I built a shared memory + task board for every MCP agent — Claude Code, Codex, Cursor, Gemini CLI: Is this just my problem? Help me find out.

构建具有语义、情节和程序性记忆管理功能的生产级AI代理。
@AiShivam · X
AgentStacKPro is an OS for AI agents designed to make them production-ready, and it holds incredible potential. You can also check out the project I currently developed

通过AI辅导、闪卡和测验学习代码技能,基于记忆科学设计。
@mkappworks · X
I am building lets connect

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