
UML - Universal Memory Layer
Share context between Claude and ChatGPT using a common memory layer via MCP.
12ziyad · HN
Shared memory graph for Claude and ChatGPT, over MCP
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Share context between Claude and ChatGPT using a common memory layer via MCP.
12ziyad · HN
Shared memory graph for Claude and ChatGPT, over MCP

Affordable memory storage layer for AI agents.
@AudaxicTech · X
Memory for AI agents, most affordable in the industry

A memory layer that sits under every AI you use. Capture once in Claude, ChatGPT, Gemini or Cursor — then retrieve everywhere over MCP, and sync to Obsidian.
@OmegaVault_app · X

A private memory vault that stores and connects memories in an immersive starfield graph interface.
@PriceMander7110 · X

Connect once with Itsuki to share structured memories across Claude, Cursor, and 24 other AI tools.
12ziyad · HN
Itsuki – shared memory for Claude Code, Cursor and 24 other AI tools

A shared memory layer that persists your decisions, preferences, and projects across different AI tools and devices.
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

A browser-native intent memory for individual contributors. Never lose what you meant to do.
@Slaetapp · X

Portable memory that persists across Claude, ChatGPT, Cursor, and other AI assistants.
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

Add persistent memory and knowledge to AI agents with drop-in files, URLs, and native MCP integration.
kitforai · GitHub
kitforai Kit for AI developer hub — official SDK, Claude Code plugin, MCP setup, and llms.txt.

Real-time memory and context layer for voice AI agents with sub-10ms latency.
@SouravDaaa · X
- End to end personalised memory retrieval in 10ms. Would love some feedback here

Adds permanent memory to Claude and other LLMs so you don't repeat yourself in new sessions.
@Nikborneklint · X
Shipped today: AEGIS Code's Terminal picker now includes @xai's grok CLI alongside AEGIS Code & Claude Code — all sharing one memory bridge via MCP. Local memory's free forever. #grokbuild @elonmusk

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.