AIMEAT

AIMEAT

The Linux of AI: an operating system for the AI you already use, and you can build anything on it.

Keep what you know, your agents and your apps in one place you own, and use all of it from the AI you already talk to.

Tell Claude, ChatGPT, Cursor or another AI to remember something, and it is still there in the next conversation, in the next tool, and for the people and agents you choose to share it with. Your AI can also build you an app, hand work to an agent or run a task on a schedule, and all of it stays under your name. You see which AI did what, and you take its access back with one press.

AIMEAT (AI Memory Exchange and Action Transfer) is open source under the MIT licence. It runs on aimeat.io, on your own server, or on your own computer.

Try it first, without an account. The Experience Center is a free tour in English, Finnish and Spanish. It shows what AIMEAT gets done, with examples from real apps, and gives you steps to try with your own AI as you go.

Three ways in

1. Connect the AI you already use

Add this address to your AI as a connector (some tools call it a custom connector or an MCP server):

https://aimeat.io/v1/mcp

Sign in when your AI asks, and choose what it may do: read only, standard, full, or exactly the permissions you tick. Then ask it in the chat what it can do in AIMEAT.

• The steps for each AI tool, with every field value, are on the Connect your AI page. The same table for software is served at /v1/ai-tools. Signed in, the Connect your AI page in your settings shows every connected AI and disconnects any of them.
• AI tools on your own computer (Claude Code, Cursor, VS Code, goose, Claude Desktop) are set up with one command. It registers the tool as an agent of yours, which you approve on the Agents page, and writes the tool's MCP settings without putting the token in them:

  npx aimeat connect client claude-code --url https://aimeat.io --owner <your-handle>

The options, the guarantees and the other clients: Connecting an AI client.

• An AI that cannot connect over MCP (a consumer Gemini app outside the United States, Copilot without Copilot Studio) still works. The page gives you a ready prompt, you run it in your own chat and paste the answer back.
• On a company-managed AI account, a connector or a prompt can show a prompt injection warning before anything runs. What it means and what to do.

aimeat.io is the demonstration node. It is free to try and it runs for real, and the Experience Center takes you through it level by level. To keep your knowledge on a machine of your own, take the second way in.

2. Run your own node

npx aimeat init     # asks a few questions and writes .env: storage, the node's name, its keys

npx aimeat start # serves http://localhost:40050

You need Node.js 24 or later. SQLite needs no database server; PostgreSQL is the production backend. Open http://localhost:40050/: a new node shows its setup page, where you create the first account, the one that runs the node. Then connect your AI to http://localhost:40050/v1/mcp as in the first way in, or with --url http://localhost:40050.

• On your own computer, without a terminal: the desktop app AIMEAT Personal Node for Windows, Apple-silicon Macs and Linux. It attaches the AI tools on the computer to your AIMEAT (aimeat.io or your own), and it can run a node of your own on port 41050. The installers are on the desktop-latest release. They are not code-signed yet, so Windows and macOS ask you to confirm the first launch. Details: aimeat-desktop/README.md.
• From source or with Docker, and what to back up: Build and operate a node.
• Every setting and where its value comes from: configuration reference.
• Before you open a node to the internet: the deployment checklist.
• A personal node behind a home connection, attached through a public node: the personal node guide.
• One node for a company and the partners it approves: see For a company below.
• If you cloned the repository and want a coding assistant to do the setup, paste startup.prompt.md into it.

3. Build on a node

• Apps. Every node serves its app-building instructions at /v1/prompts/build-app-atelier (aimeat.io's). Describe the app to your connected AI and it builds a single HTML file and publishes it on the node, on an address of its own. App development.
• Agents. An agent joins a node through device authorization, and the owner approves it and picks its permissions. Building an AIMEAT-compatible agent. For CrewAI there is a Python package, aimeat-crewai (pip install aimeat-crewai).
• Ecosystem apps. A service of your own that works in its users' AIMEAT with their consent: Building an AIMEAT-compatible ecosystem app.
• Agent platforms such as Dify, n8n or Open WebUI connect once as an MCP client of the node. The Dify walkthrough: aimeat/tools/dify-bridge/README.md.
• The API. openapi.yaml is the contract. A running node describes itself at /llms.txt and in full at /llms-full.txt.

For a company

One node can serve a company, its staff and the partner companies it approves, and nobody else. Every setting is also on the admin Config tab, so the operator changes it without a restart. The whole recipe: a company node, step by step.

• Sign-in with Microsoft Entra ID, limited to your own tenant and the partner tenants you list. A new account comes only through Entra or an invitation.
• Closed to the internet. With one setting, everything on the node is hidden from people without an account.
• Nothing becomes public without its owner. When an agent or an app tries to make something public, the owner gets a notification and approves or declines it.
• Everyone on the node sees each other in the address book, and a colleague's first message needs no approval.
• Classification. Content is public, internal, confidential or highly confidential. A shared place passes its classification on to what it holds, and each classification limits who may see the content and what an agent may read. (data classification)
• The records the GDPR asks for: a record of processing for the node, each organism and each app, and data processing agreements made from what the node holds. (AI transparency and compliance)
• AI calls that stay in Europe. The node's AI calls go only to model servers in the EU or the EEA, the United Kingdom and Switzerland, or only to the United States, or to any country. You choose, you can let each person choose, and every answer says where it was processed. The privacy page and the records of processing follow the setting. (where AI calls are processed) A node bought from the store is set up with one choice that sets all of this: EU first, EU only (speech, image generation and the free models are off) or each person's own key (AIMEAT_AI_REGION_MODE, or ai.region_mode on the Config tab).

What it does

The feature list says what a node does today, area by area, with the API route and the MCP tools for each feature. In short:

• Your knowledge, kept and shared on your terms. Memory, files and search; organisms and workspaces where people, agents and apps work on shared records; consent and visibility on every record. (memory, organisms and workspaces, access and consent)
• Agents that work for you. Each agent has its own identity, permissions you approve, tasks, schedules and workflows, and you can stop it at any time. Give your agents a goal in your own words: your AI plans the work, and nothing starts before you say yes. ([the agent fleet](https://