Plan, Build, and Ship — with a team of AI agents instead of one
# Add to your Claude Code skills
git clone https://github.com/openteams-lab/openteamsLast scanned: 5/25/2026
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}openteams is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by openteams-lab. Plan, Build, and Ship — with a team of AI agents instead of one. It has 474 GitHub stars.
openteams returned warnings in SkillsLLM's automated security scan. It has no critical vulnerabilities, but review the flagged issues in the Security Report section before adding it to your workflow.
Clone the repository with "git clone https://github.com/openteams-lab/openteams" and add it to your Claude Code skills directory (see the Installation section above).
openteams is primarily written in TypeScript. It is open-source under openteams-lab on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh openteams against similar tools.
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Requires a passing catalog security scan. Resolve the flagged issues and resubmit to enable featuring.
You already run Claude Code, Codex, Gemini CLI, or another coding agent. Each one works well on its own. Then you open a second terminal, and a third. You repeat the same context, carry results from one window to another, and keep track of who is changing what. Before long, you are managing the agents instead of the work: changes are scattered across sessions, project priorities live elsewhere, and token usage is disconnected from what actually shipped.
openteams is what is missing around those agents: one shared room where they can talk and hand off work, a plan you can see and control, and a lightweight local record that connects project work to agent output without giving agents control of the roadmap.
| openteams is | openteams is not |
|---|---|
| a local-first workspace for the coding agents you already use | another model or a replacement for Claude Code, Codex, or Gemini CLI |
| a shared session where agents can talk, hand off work, and keep the same context | a pile of separate chat windows that you have to coordinate yourself |
| a developer-owned issue list linked to agent sessions | a full project-management suite or a roadmap that agents rewrite themselves |
| a workflow you can inspect, review, interrupt, and retry step by step | one large prompt that disappears into a black box until it finishes |
| isolated worktrees you can review, merge, or discard separately | multiple agents changing the same workspace and interfering with each other |
| build statistics that show what agents delivered, the resources they used, and what it cost | a token counter with no record of what was built |
Concretely, installing it gives you: chat sessions for lightweight collaboration and planned execution, ready-to-use team workflow templates, developer-controlled Issues that link work to sessions, independent workspaces for isolating parallel tasks, and complete build statistics.
without openteams with openteams
Claude ─ terminal A ─┐ Claude ─┐
Codex ── terminal B ─┼─ you relay Codex ──┼─ shared session
Gemini ─ terminal C ─┘ Gemini ─┘
plan: somewhere else issues ── sessions ── build results
AI coding agents can produce plenty of code. The harder part is keeping their work organized: sharing context, seeing what is happening, stopping parallel tasks from overwriting each other, deciding what comes next, and knowing what the work cost.
openteams keeps agents and their conversations in one session. For larger tasks, Workflow mode shows the steps and dependencies before and during execution, so you can review or retry one step without starting everything again. If several sessions are working at once, each can use its own Git worktree, keeping unfinished changes separate until you choose to merge or discard them.
The project direction stays with the developer. Issues hold the work you have chosen and link it to the sessions where agents carry it out; agents do the work, but they do not rewrite the plan. Build statistics then show what was delivered alongside the tokens and cost used to deliver it.
openteams is not trying to give you more agents. It is trying to make sure you always know what is being built, where the changes are, what comes next, and what it cost.
Download the latest release for your platform from GitHub Releases.
macOS: The current macOS release is not signed or notarized by Apple. Browsers add a quarantine attribute to apps downloaded from the internet, so Gatekeeper may report that openteams is “damaged” even when the download is intact. After dragging openteams.app to /Applications, and only if you trust that it came from the official openteams GitHub Release, run:
xattr -dr com.apple.quarantine /Applications/openteams.app
This removes the quarantine attribute only from openteams; it does not disable Gatekeeper globally.
npx openteams-web
openteams includes a built-in openteams CLI agent. Configure your model providers in the app under Settings → Provider Config → Add Provider.
You can also connect supported coding agents such as:
| Agent | Example install |
|---|---|
| Claude Code | npm i -g @anthropic-ai/claude-code |
| Gemini CLI | npm i -g @google/gemini-cli |
| Codex | npm i -g @openai/codex |
| Qwen Code | npm i -g @qwen-code/qwen-code |
| OpenCode | npm i -g opencode-ai |
📚 More agent installation guides
openteams is under active development. Here is where we are heading:
Vision: Transform token consumption into real productivity.
Have a feature request or want to help shape the direction? Open a discussion.
| Feature | What it means |
|---|---|
| AI employees and AI teams | Turn tokens into real productivity. Each |