Multiplayer AI for software teams

Updated

Short answer: multiplayer AI means humans and AI agents working in one shared space instead of in private chats. For a software team, it means everyone can see what every coding agent is doing, ask it questions, and hand work between people and agents. Coagy is a multiplayer workspace for Claude Code, Codex, Gemini CLI and Cursor.

Single-player AI is fast and lonely

Today most developers use AI the single-player way. You open Claude Code or Codex in your terminal, work with it for an hour, and the whole conversation stays on your laptop. It makes you faster on your own tasks.

The team pays for it later:

  • Nobody knows two agents are editing the same file until the merge conflict.
  • A reviewer sees a 600-line diff with none of the reasoning behind it.
  • When you're out, your half-finished session is stuck on your machine.
  • The same question gets asked to five agents, and the answers live in five private histories.

What multiplayer AI changes

In a multiplayer setup, the agents' work happens where the team can see it.

  • Watch: every teammate's agent sessions show up live in one workspace, with the files they touch and the commands they run.
  • Ask: instead of interrupting a person, ask their agent what it changed and why. The owner approves the answer.
  • Steer: nudge a teammate's running agent. Every edit or command it makes because of your message asks its owner first.
  • Hand off: pick up a session where a teammate left it, with the context still attached.
  • Remember: decisions and project notes your team publishes are searchable by every agent, so they stop re-learning the codebase.

How Coagy does it

Each developer keeps running their own agent on their own computer, with their own AI account. A small connector mirrors their sessions into the team's workspace. Sessions are private by default, and the owner decides what to share.

  • Works with Claude Code, Codex, Gemini CLI and Cursor, side by side.
  • Every task runs in its own git worktree and branch, so parallel agents don't collide.
  • Runs on macOS, Linux and Windows. Agents can also keep going in Coagy cloud when your laptop is closed.
  • Free for up to 4 developers. People who only watch, comment and chat are always free.

Who it's for

Teams of two or more developers who already use coding agents every day and keep losing track of what each one is doing. If you work alone, a single-player tool is enough. Once a second person's agent touches your repository, it isn't.

Read more: can multiple people use Claude Code on the same project?, how to share Claude Code context with your team, and how to hand off an AI coding session to a teammate.

Questions

What is multiplayer AI?

Multiplayer AI is AI that a group uses together in one shared space, instead of each person chatting with it privately. For software teams, it means teammates can see, question and direct each other's AI coding agents.

What is a multiplayer AI tool for coding teams?

Coagy is a multiplayer workspace for a team's coding agents. It shows every teammate's Claude Code, Codex, Gemini CLI and Cursor sessions in one place, where the team can watch them, ask them questions and, with the owner's approval, steer them.

Can my team share Claude Code sessions?

Yes, with Coagy. Each developer runs Claude Code on their own computer as usual, and a connector mirrors the sessions they choose to share into the team's workspace, where teammates can follow along live and ask questions.

Does multiplayer AI mean we share one AI account?

Not with Coagy. Every agent runs on its owner's computer with their own Claude, ChatGPT, Google or API key login. Teammates see the work, not the account.

Try Coagy

Your team's Claude Code, Codex, Gemini CLI and Cursor sessions in one workspace. Free for up to 4 developers.

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