Shared memory graph for Claude and ChatGPT, over MCP
Connect Itsuki once with one key. It extracts structured memories from any of 26 connected tools — assistants, agents, workflows — links each to the words it came from, and serves them back across all the rest.
Shared memory graph for Claude and ChatGPT, over MCP launched on July 31, 2026 with 17 votes, #984 of 24,623 launches that month and more than 90% of that year's launches.
In plain words
This tool creates a shared memory graph that works with both Claude and ChatGPT through the Model Context Protocol (MCP). It allows users to maintain persistent information across conversations with different AI assistants, storing and retrieving data from a unified graph structure. The system launched in July 2026 and is designed for anyone who regularly switches between Claude and ChatGPT and wants their context and information to carry over between them.
written from the facts on this page · September 2026
From the sources
Connect once with one key. Itsuki extracts structured memories from any of 26 connected tools and serves them back across all the rest. One store sits under all twenty-six. Type the fact once, in whichever tool happens to be open, and the next tool to ask gets it back — no export, no re-paste, no second store to keep in sync. “We’re on Postgres. No ORM — raw SQL only.” Everyone else replays the transcript and hopes the model finds the point. Itsuki keeps the point, the exact words it came from, and the shape of what it connects to. “hey are we still on for the review” “let me check the calendar one sec” “ok so september is completely…from uml.gpmai.workers.dev
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Claude Import MemoryMar 2026 · claude.com · ▲716Switch from ChatGPT to Claude with import memory feature
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Core – open source memory graph for LLMs – shareable, user owned2025 · github.com · ▲112I keep running in the same problem of each AI app “remembers” me in its own silo. ChatGPT knows my project details, Cursor forgets them, Claude starts from zero… so I end up re-explaining myself dozens of times a day across these apps. The deeper problem 1. Not portable – context is vendor-locked; nothing travels across tools. 2. Not relational – most memory systems store only the latest fact (“sticky notes”) with no history or provenance. 3. Not yours – your AI memory is sensitive first-party data, yet you have no control over where it lives or how it’s queried. Demo video:…
AI Memory Layer for ChatGPT and Claude.2025 · teamlayer.xyz · ▲26Shared persistent memory across all your LLMs.
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