
UML - Universal Memory Layer
通用内存层使Claude和ChatGPT能通过MCP访问共享上下文。
12ziyad · HN
Shared memory graph for Claude and ChatGPT, over MCP
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通用内存层使Claude和ChatGPT能通过MCP访问共享上下文。
12ziyad · HN
Shared memory graph for Claude and ChatGPT, over 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


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 agents提供记忆基础设施来存储和检索信息。
memcode-in · GitHub
memcode Memcode: #1 Memory Layer for AI agents, Building Memory infra for every use case

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

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

@rdbuilds7 Memory Layer for AI Agents Product - https://t.co/mbRK424Ws4 Guide - https://t.co/W9xosDWLzQ
@Pankaj41521 · X
Memory Layer for AI Agents Product - Guide -

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

Axiom is an engineering memory layer that maps codebase relationships, predicts change impact, and preserves institutional knowledge.
@vxssroot · X
Axiom is an engineering memory layer that understands your entire codebase, its relationships, and context locally and privately. *