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Open-source, self-hosted alternative to Claude Duet: AI coworkers (named agents) with instructions, memory, routines, their own isolated computer, and your approval before they act. Also an alternative to OpenAI Dots, Meta Muse, Grok Bot, Manus Cue and ChatGPT agent.

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Open Duet

Your own team of AI coworkers, running on your computer or a server you control.

Open Duet is an open-source workspace for creating named AI agents, giving each one a job and a place to work, and chatting with them over time. Let a lead agent hand work to specialists, keep useful context between conversations, or set a routine to run later. Choose how much freedom an agent has, and review the actions it takes.

You choose where the app runs and which engine gets your prompts. Open Duet does not include a model or a model subscription.

Watch the demo · Quick start · Run it on your server · Guides

Open Duet demo video thumbnail — click to watch on YouTube

Status: Active development. The desktop app, self-hosted server, agent computers, and newer team features are still evolving. See known limitations before relying on them for important work.

What you can do

  • Create a roster of agents. Give each one a name, instructions, model, workspace, memory, and approval settings. Use different agents for research, planning, writing, support, or development.
  • Work as a team. Set a lead and specialists, let the lead delegate tasks, and follow the results in chat. You can also bring agents together in shared rooms. Team leads currently need to use Claude. See teams and delegated work.
  • Keep useful context. Agents can keep notes, recall relevant notes and earlier conversations, and search their own history. You can review and edit what they remember. See memory.
  • Set work to run later. Create routines that run on a schedule, when another service triggers them, or when you press Run now. Follow each run and respond if it needs your approval. Routines do not need Boat. See routines.
  • Stay in control. Choose Ask first, Accept edits, or Plan only. Review tool activity and approval decisions in the app. Agents can also be given an isolated Docker computer; computer and browser access are experimental and off until you enable them.
  • Keep track of work. Search conversations, attach text files and images, browse or download workspace files, and review reported token use and cost.
  • Plan tasks and deadlines. Keep work on a board, assign an agent or team, and review deadlines alongside routine occurrences in a week or month calendar. See tasks and calendar.

Example: prepare a weekly project briefing

Create a lead agent and a couple of specialists, such as a researcher and an editor. Give them the same project workspace, and set the lead's engine to Claude. Then ask the lead to prepare a briefing from the notes and reports in that folder.

The lead can split the request into smaller tasks and hand them to the specialists. Their work runs in its own conversations; when the results are ready, they return to the lead, which can put the briefing together. You can open the chats to follow along, and approve actions when the approval settings require it. Once the task is useful, make it a weekly routine and review each run from the app.

What stays on your machine or server

Open Duet stores conversations, agent notes, routines, and settings in the local data folder or server database for the instance you run. Workspace files stay in the folders you assign to agents. API keys saved through Open Duet are encrypted there; command-line sign-ins remain with the engine installed on that machine.

When an agent answers, the selected engine receives the prompt and the context needed for that turn. That can include text you attach, relevant notes, and workspace content the engine reads. If the engine is a hosted service, that information is handled under that provider's terms. Open Duet does not include a hosted model or a model subscription.

Choose an engine

Connect an engine you already use: Claude Code or Codex CLI, Gemini CLI or Cursor, another command-line agent using the Agent Client Protocol (ACP), OpenRouter, or an OpenAI-compatible API such as Ollama or LM Studio. Available tools vary by engine; for example, image input and agent computers are not supported by every engine.

See engine setup and capabilities. You bring the provider account, CLI sign-in, or API key; model usage may cost money.

Ways to run Open Duet

Desktop on your computer Server you control Development checkout
Good for Trying a personal, local workspace Keeping agents and routines available while your computer is off Contributing or changing Open Duet
Where data lives The desktop app's local data folder Your server Your development machine or configured database
You'll need Node.js 22+, uv, and an engine on your computer A Linux server, a domain with HTTPS, Docker or Node.js and uv, and an engine on the server Node.js, uv, and Docker if you use PostgreSQL
Start here Quick start Self-hosting guide Development setup
Status Experimental Experimental; single owner

Quick start

The desktop app runs from a source checkout. It needs Node.js 22 or newer, uv, and at least one engine available on the same computer. For a CLI engine, install it and sign in before opening Open Duet. You can also configure an API-based engine in Settings → Engines. You do not need Docker for ordinary chat; Docker is only needed for the optional isolated agent computers.

git clone https://github.com/Anil-matcha/open-duet.git
cd open-duet/desktop
npm run app

On first launch, the setup screen checks your engines, helps you choose a workspace and approval mode, and can create a starter agent. Then:

  1. Open Settings → Engines and confirm that an engine is ready.
  2. Create an agent with a name, a clear job, and the workspace it should use.
  3. Start a chat. Choose Ask first if you want the agent to pause for approval before actions that need it.
  4. Add teammates or a routine when you want to split up work or repeat it later.

As of 2026-10-24, the Releases page has a Windows x64 installer for v0.3.0; the latest macOS arm64 DMG is from v0.2.0. Both are experimental and unsigned. The v0.3.0 Windows app includes an assisted update flow that offers a SHA-256-verified installer for you to open; it does not install updates automatically. The release-to-release update path has not been verified end to end.

Scheduling tasks

Routines run prompts on local agents on a schedule, by webhook, or on demand. They run in the backend, so the backend must stay running. A routine never approves an action by itself. See the routines guide.

The original Telegram bot and Boat sandbox task flow are also available as an optional, separate path. Those scheduled tasks use the API process too; see backend details and environment settings. Neither Telegram nor Boat is needed for the agent workspace.

Known limitations

  • Open Duet is early and changing. The server setup is experimental and intended for one owner with paired devices; it is not a multi-user organization workspace.
  • Team delegation is new, and the lead agent currently needs to use Claude.
  • Docker computers and their browser tools are experimental and opt-in. The macOS native desktop preview is also experimental and available only in the desktop app.
  • Desktop installers are unsigned and have limited platform verification. See desktop setup details.
  • Open Duet does not provide model access. You are responsible for your model provider's account, terms, and usage costs.
  • A built-in catalog of integrations such as Gmail, Slack, and Notion is not available yet. The optional Telegram and Boat flow remains separate from the agent workspace.

Guides

Contributing

Issues and pull requests are welcome. Start with the contributing guide.

License

Open Duet is licensed under the Apache License 2.0.

About

Open-source, self-hosted alternative to Claude Duet: AI coworkers (named agents) with instructions, memory, routines, their own isolated computer, and your approval before they act. Also an alternative to OpenAI Dots, Meta Muse, Grok Bot, Manus Cue and ChatGPT agent.

Topics

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Contributing

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45 watching

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