生产力1 month ago
upload | 跨 AI 的长期记忆
一个共享记忆层，在不同的 AI 工具和设备间保留你的决定、偏好和项目。
upload — 跨 AI 的长期记忆层，让 ChatGPT、Claude、Codex、Hermes、OpenClaw、WorkBuddy 等共用同一份记忆，换工具换设备都接着上次继续，注册即用免装插件
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一个共享记忆层，在不同的 AI 工具和设备间保留你的决定、偏好和项目。
upload — 跨 AI 的长期记忆层，让 ChatGPT、Claude、Codex、Hermes、OpenClaw、WorkBuddy 等共用同一份记忆，换工具换设备都接着上次继续，注册即用免装插件
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
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.
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
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
Persistent memory API for AI agents. Hybrid scoring (semantic + recency + importance) that works with LangGraph, AutoGen, and CrewAI. Free to start.
@sunvic567 · X
An MCP memory server whose entity-graph spreading recall reassembles the chain of facts a vector store can't reach. On cross-vocabulary multi-hop questions a single vector lookup s
ihamilton7 · HN
Cogni: MCP memory for LLMs, with no LLM in the retrieval path
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
为人类和AI代理记录和检索决策，追踪完整来源。
@burn2delete · X
为AI代理提供托管服务，支持持久工作空间、记忆和自动备份。
@hijak01 · X
check out the demo
用AI将保存的视频、PDF和文章转换为可搜索的总结和闪卡。
@ShahirSiddiqu13 · X
Memora turns everything you save into a searchable second brain powered by AI. Try it: 🌐 What would you save first? #BuildInPublic #SaaS #AI #Productivity
为语音AI代理提供实时记忆和上下文处理，延迟低至10ms。
@SouravDaaa · X
- End to end personalised memory retrieval in 10ms. Would love some feedback here