#3232nd of 52 in Agent platforms
open-duet
Workspace for named AI agents with teams, memory, and scheduled routines
- Stars
- 6.5k
- License
- Apache-2.0
- Last commit
- Oct 2026
- Language
- Python
3,036 on 3 Apr 20266,455 on 30 Oct 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
Open Duet is a desktop and self-hosted workspace where you create named agents, each with instructions, a workspace folder, memory and approval settings. A lead agent can delegate to specialists, and routines run prompts on a schedule, by webhook or on demand. It ships no model; you connect Claude Code, Codex CLI, Gemini CLI, Cursor, ACP agents, OpenRouter or an OpenAI-compatible API such as Ollama.
Who it is for: Individuals running a team of agents on existing CLI or API engines
Strengths
- Per-agent approval modes: Ask first, Accept edits, Plan only, with reviewable tool activity
- Works with CLI engines, OpenRouter and OpenAI-compatible local servers like Ollama and LM Studio
- Routines trigger by schedule, webhook or manual run; none approve actions automatically
- Editable agent memory and searchable conversation history
Weaknesses
- Team lead agents currently must use Claude
- Server mode is experimental and single-owner, not multi-user
- Desktop runs from a source checkout; installers are unsigned and do not auto-update
- No built-in integrations catalog such as Gmail, Slack or Notion
What it needs
- no GPU
- Docker + Compose
- Needs Node.js 22+, uv, Docker (optional, for agent computers), An engine: CLI agent or API provider
- Models: Claude Code, Codex CLI, Gemini CLI, Cursor, ACP agents
Quick answers
Is open-duet open source?
Yes. Its code is on GitHub under the Apache-2.0 license.
Can you run open-duet with Docker?
Yes. Its repository has a Docker setup: a Dockerfile, a Compose file or a published image.
Does open-duet need a GPU?
No, it runs without one.
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