Agor

Multiplayer AI. Work together again.

Agor brings your team and agents together on live spatial boards where you can see the work, collaborate, and learn from each other. Raise AI teammates with memory, shared knowledge, skills, and connections to your tools, then bring them where your team works. What works for one person becomes something the whole team can build on.

Under the hood, Agor is a web workspace for running coding agents (Claude Code, Codex, Gemini, and others) on isolated git branches, each with its own dev environment and conversation history. Install it with npm and start on your own in a few minutes, then bring your team in.

Documentation · Quick Start · Agor Cloud Open Beta · Architecture · Contributing

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Built on the agent CLIs & SDKs you already use

Agor ships no model of its own. It drives the coding-agent CLIs and SDKs you already run, interchangeable per session. Bring your own provider and subscription, with no vendor lock-in. Compare the harnesses →

  

  

  

  

  

The board: your team and agents in one place, with branches as cards, zones as regions, and sessions you can follow live.

▶ Watch the unscripted demo on YouTube (13 min)

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Why Agor

Most teams are getting better at AI one person at a time. Good prompts sit in private chats, useful workflows live in one person's setup, and running more agents means more to keep track of. Agor makes AI work a team activity.

Bring your team and agents together

• See and join each other's work. Live cursors, comments, and shared sessions let colleagues follow an agent's progress and step in, instead of reconstructing it from screenshots and status messages.
• Learn from each other. See how colleagues prompt, share context, and turn the practices that work into prompts and workflows the whole team can reuse.
• Start solo, expand when ready. One person can install Agor and get value on day one, then bring colleagues in.

See the work and shape it together

• A live spatial board. Organize branches and agent sessions on a 2D canvas. Zones give the work structure, show its stage, and can fire a templated prompt when a branch is dropped in.
• Branches as the anchor. Every piece of work is a git branch with its own working directory, dev environment, conversation history, and PR.
• Shared dev environments. A one-click dev server per branch, with ports assigned automatically so parallel branches never collide and anyone can inspect the result.
• Rich sessions and session trees. Structured tool output, model and effort selectors, and fork/spawn genealogy for exploring alternatives or coordinating specialist agents.
• Multi-runtime. Claude Code, Codex, Gemini, OpenCode, Copilot, and Cursor (beta) are interchangeable per session.

Raise AI teammates