Shared Memory Graph for Claude & ChatGPT Over MCP

The developer community has released an open-source shared memory graph for Claude and ChatGPT that runs over the Message-Centric Protocol (MCP). The lightweight in-memory structure stores conversation history, task state, and contextual data, allowing any participating AI model to query it and eliminating the need to ship large context strings. Early adopters report performance gains when coordinating Claude and ChatGPT in a single task pipeline.

The community released a shared memory graph for Claude https://dev.to/go/claude and ChatGPT https://dev.to/go/chatgpt that runs over the MCP Message‑Centric Protocol . The graph is a lightweight, in‑memory structure that holds conversation history, task state, and contextual data. Any participating AI model can query it, eliminating the need to ship large context strings. This speeds responses and keeps multi‑model interactions coherent. The implementation is open‑source and plugs into existing AI stacks. It offers a simple API that n8n https://dev.to/go/n8n workflows, custom agents, or any microservice can call to read or write to the graph. Early adopters report noticeable performance gains when coordinating Claude and ChatGPT in a single task pipeline. Q: Does this require a new infrastructure stack? A: No. The graph runs in memory on the same host that runs your agents. It can be embedded in a container or a serverless function that already hosts your n8n instance. Q: Can I use the graph with other LLMs beyond Claude and ChatGPT? A: The API is generic. As long as the model can accept a structured context payload, you can plug it in. The community is already experimenting with Gemini https://dev.to/go/gemini and Llama https://dev.to/go/llama ‑2. Q: How do I handle persistence if my service restarts? A: The graph can be serialized to a lightweight store e.g., Redis or a JSON file on shutdown and rehydrated on startup. This keeps the in‑memory state fast while providing durability. Originally published on Automations Cookbook.