开发者工具1 month ago · 2 次试用
Kit for AI — The Memory Layer for AI Agents
为AI代理提供持久记忆和知识，支持文件、URL和MCP工具原生集成。
Open source
kitforai · GitHub
kitforai Kit for AI developer hub — official SDK, Claude Code plugin, MCP setup, and llms.txt.
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为AI代理提供持久记忆和知识，支持文件、URL和MCP工具原生集成。
kitforai · GitHub
kitforai Kit for AI developer hub — official SDK, Claude Code plugin, MCP setup, and llms.txt.
便携式记忆库，可在 Claude、ChatGPT、Cursor 等 AI 助手间持久保存。
u/OrganicArgument2092 · Reddit
I shipped Lodekeep: portable memory for AI agents that follows you across Claude, Cursor, and ChatGPT Every new AI chat starts from zero. Claude, Cursor, ChatGPT all forget my stack, my decisions, the gotchas I already solved, so I kept re-pasting the same context every single session. I got sick of it and built Lodekeep. You capture a decision, preference, or lesson once, and it's recallable in every future session across every MCP client (Claude web + desktop, Claude Code, Cursor, Gemini
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 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
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.
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
One model. Fifteen memory slots. Every opinion it holds was bought, and it shows you the price.
@navin4501 · X
U can check if u have product
Enterprise memory management dashboard
@dingfengtow_df · X
Just launched: Aristra public beta Agentic platform built on the Aristra Memory System. Persistent context of how you work + always-on agents. Memory is modular, also works with Codex, Claude Code, and other agent systems. Limited spots open.
