# AI memory for a whole team. > The memory in ChatGPT or Claude belongs to one person in one tool. How a team gives every AI tool the same memory, with roles and a source for each answer. Source: https://dienox.com/ai-memory-for-teams Last updated: 2026-10-01 AI memory for a team is one shared record of what the organisation knows, read by the AI tool of every colleague. The memory built into ChatGPT or Claude belongs to one person in one tool. A team needs memory that sits outside any single tool, with roles, a source under each answer and one place to correct a fact. ## What people mean by AI memory. Most AI tools remember something now. A tool keeps what you told it: your preferences, your work, how you like an answer. The next chat starts a little less from zero. That memory is useful. It is also personal. It belongs to one person, and it lives inside one tool. The [glossary](https://dienox.com/glossary#ai-memory) puts it in a few sentences. ## Why a team needs something else. A team is not one person with one tool. - **A colleague's tool does not share it.** What you taught your AI, a colleague's AI does not know. - **Another tool does not read it.** Each tool keeps its own memory. Switch tools, and you start again. - **An old fact stays where it was put.** When a fact changes, every memory that holds the old one is now wrong, and nobody knows which. - **It has no roles.** Nobody decides who may change what, because only one person changes anything. Memory makes one person a little faster. It does not give a team the same facts. So everyone keeps explaining the organisation again, each to their own tool: [your AI starts every conversation from zero](https://dienox.com#why). What that costs a team is on [stop re-explaining your company to AI](https://dienox.com/stop-re-explaining). ## Can ChatGPT and Claude share a memory? Not by themselves. Each tool keeps its own memory and its own projects. What both can do is read one source outside them. Claude reaches an outside source as a custom connector. ChatGPT reaches one as a custom app. Both use MCP, the open standard for connecting AI tools to data and systems. Put what matters in that one source, connect both tools, and they answer from the same facts. For one person with two tools, that is the whole answer. A team needs more: every colleague's tools on the same source, and rules about who may change it. ## Memory for a team. Shared memory for a team is one record of what the organisation knows. Not a copy per person, and not a copy per tool. - **One record.** Who decides what, what was decided, what you sell and how the work runs. - **Read by every tool.** Claude, ChatGPT, Copilot, Cursor. Each colleague works in the tool they like. - **Roles.** Administrators, editors and readers. Roles decide who may change what. - **A history.** Every change is kept, with who made it and when, and can be undone. - **A source under each answer.** Anyone can check where an answer came from. - **Corrected once.** Correct a fact once, and it stays corrected for everyone who asks after you. Table: Three kinds of AI memory | | The memory built into one AI tool | A project in one AI tool | Shared memory for a team | | --- | --- | --- | --- | | **Whose it is** | One person's. | The people it is shared with. | The organisation's. | | **Which tools read it** | That tool. | That tool. | Every AI tool that is connected. | | **Shared with colleagues** | No. | Where the tool and the plan allow it. | Yes. Everyone reads the same record. | | **Correcting a fact** | In each memory that holds it. | In each project that holds it. | Once, for everyone. | | **A source under the answer** | Depends on the tool. | Depends on the tool. | Yes. Every answer names where it came from. | | **Who may change it** | The person. | Whoever may edit the project. | Administrators and editors. Readers read. | ## What stays personal. Not everything belongs in the shared place. How you like your answers. Your own notes. The idea you are still turning over. Those can stay in the memory of your own tool, or in a personal second brain, and they still help you. For one person, that is [an AI second brain](https://dienox.com/ai-second-brain). The organisation's facts go in the shared place. A decision. A price. Who owns a client. If a colleague would need it, it is not personal. One test settles most cases. Would it still be true if you left? Then it belongs to the organisation. ## How Dienox does it. Dienox is a platform that gives a company one knowledge base that every AI tool its people use reads from: Claude, ChatGPT, Copilot, Cursor and any other MCP client. It does not call that memory. It calls the place the knowledge base, and what every tool gets from it [universal AI context](https://dienox.com/universal-ai-context). Others call it [a company brain](https://dienox.com/company-brain). 1. **Connect once per person.** Add Dienox in your own AI tool, sign in and pick your organisation. About a minute, and nothing to install. The steps per tool are on [connect your AI tools to your company knowledge](https://dienox.com/connect). 2. **Every tool reads the same knowledge base.** When a question needs it, with the source under the answer. 3. **What is decided in a chat is written back.** Under the name of the person, when their role allows it. Then it is there for the next colleague, in any tool. The knowledge base starts with a guided interview, or with the documents you already have. From there it grows as you work. Does your team use one AI tool only? Then that tool's own features may be enough. [ChatGPT company knowledge or Claude Projects?](https://dienox.com/compare/chatgpt-company-knowledge-vs-claude-projects) puts them next to one source for every tool. ## Questions people ask. ### What is AI memory? AI memory is what an AI tool keeps about you between chats: your preferences, your work and what you told it before. It belongs to one person, inside one tool. A colleague's tool does not share it, and another tool does not read it. For a team, the shared version is one knowledge base that every AI tool reads. ### Can ChatGPT and Claude share the same memory? Not by themselves: each tool keeps its own memory. Both can read one source outside them, Claude through a custom connector and ChatGPT through a custom app, and that is how they share. Connected to Dienox, they read the same knowledge base, so what was decided in a chat in Claude is there when a colleague asks in ChatGPT. ### How does a team share AI memory? By keeping what the organisation knows in one place outside any single AI tool, and connecting every tool to it. Each person adds the connector in their own tool and signs in with their own account. Roles decide who may change what, every answer names its source, and a fact is corrected once for everyone. ### How do I switch from ChatGPT to Claude without losing context? Keep the context outside both. When what your organisation knows lives in one knowledge base that every AI tool reads, a change of tool changes nothing: connect Claude to the same source, and it starts from the facts ChatGPT had. What one tool's own memory holds about you is a separate matter, and each vendor's page says what it offers. ### Can I move ChatGPT memory to Claude? With one source outside the tools there is nothing to move. The organisation's facts sit in the knowledge base, and Claude reads them from the moment it is connected, as ChatGPT did. For the memory that ChatGPT itself keeps about you, see OpenAI's and Anthropic's own pages: we do not describe their features here. ### Is shared memory the same as a company brain? Close to it. People search for shared AI memory, a company brain or a second brain for the team, and they mean one need: what the organisation knows, in one place, read by everyone's AI. Dienox calls the place the knowledge base, and what it gives every AI tool universal AI context. ### Who can see what is in the shared memory? The people of your organisation, each within their role: administrator, editor or reader. A connection from an AI tool belongs to one organisation and cannot see or reach another. Every answer names its source, and the trail shows what was read and what was changed, by which person or agent. ### What happens to the memory when someone leaves? It stays with the organisation. Shared memory belongs to the organisation and not to one person's account, so nothing leaves with a colleague. What they wrote stays in the history, under their name. Their access can be revoked at any time. What sat in the memory of their own AI tool was never shared to begin with. ### Does the AI write to the memory by itself? A connected AI tool can write back what was decided in a chat, when the person it works for is an administrator or an editor. A reader's tool only reads. Every change is recorded under that person's name, kept in the history and can be undone. So you always see what was written, and by whom. Sources - [What is the Model Context Protocol?](https://modelcontextprotocol.io/) - [Claude Help Center: custom connectors](https://support.claude.com/en/articles/11175166-get-started-with-custom-connectors-using-remote-mcp) - [OpenAI Help Center: developer mode and MCP apps](https://help.openai.com/en/articles/12584461-developer-mode-and-mcp-apps-in-chatgpt) The beta is open Be one of the first organisations on Dienox. 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