by 777genius
You're the CTO, agents are your team. They handle tasks on their own, message each other, and review each other's work. You just watch the kanban board and give high-level commands. Codex/Claude/OpenCode(75+ LLM providers). Build your AI company.
# Add to your Claude Code skills
git clone https://github.com/777genius/claude_agent_teams_uiGuides for using ai agents skills like claude_agent_teams_ui.
Last scanned: 5/4/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-05-04T06:43:29.075Z",
"semgrepRan": false,
"npmAuditRan": false,
"pipAuditRan": true
}claude_agent_teams_ui is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by 777genius. You're the CTO, agents are your team. They handle tasks on their own, message each other, and review each other's work. You just watch the kanban board and give high-level commands. Codex/Claude/OpenCode(75+ LLM providers). Build your AI company. It has 863 GitHub stars.
Yes. claude_agent_teams_ui passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/777genius/claude_agent_teams_ui" and add it to your Claude Code skills directory (see the Installation section above).
claude_agent_teams_ui is primarily written in TypeScript. It is open-source under 777genius 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 claude_agent_teams_ui against similar tools.
No comments yet. Be the first to share your thoughts!
https://github.com/user-attachments/assets/9cae73cd-7f42-46e5-a8fb-ad6d41737ff8
https://github.com/user-attachments/assets/35e27989-726d-4059-8662-bae610e46b42
No prerequisites - the app can detect supported runtimes/providers and guide setup from the UI.
If you want the FRESHEST version, clone the repo and run it from the dev branch.
An orchestration layer for AI agent teams across Claude and Codex.
Task creation with attachments — send a message to the team lead with any attached images. The lead will automatically create a fully described task and attach your files directly to the task for complete context.
Auto-resume after rate limits — when the lead hits a Claude rate limit and the reset time is known, the app can automatically nudge the lead to continue once the cooldown has passed
Deep session analysis — detailed breakdown of what happened in each agent session: bash commands, reasoning, subprocesses
Smart task-to-log/changes matching — automatically links session logs/changes to specific tasks
Advanced context monitoring system — comprehensive breakdown of what consumes tokens at every step: user messages, Claude.md instructions, tool outputs, thinking text, and team coordination. Token usage, percentage of context window, and session cost are displayed for each category, with detailed views by category or size.
Recent tasks across projects — browse the latest completed tasks from all your projects in one place
Zero-setup onboarding — built-in runtime detection and provider authentication
Built-in code editor — edit project files with Git support without leaving the app
Branch strategy — choose via prompt: single branch or git worktree per agent
Team member stats — global performance statistics per member
Attach code context — reference files or snippets in messages, like in Cursor. You can also mention tasks using #task-id, or refer to another team with @team-name in your messages.
Notification system — configurable alerts when tasks complete, agents need your response, new comments arrive, or errors occur
MCP integration — supports the built-in mcp-server (see mcp-server folder) for integrating external tools and extensible agent plugins out of the box
Post-compact context recovery — when the active runtime compacts its context, the app restores the key team-management instructions so kanban/task-board coordination stays consistent and important operational context is not lost
Task context is preserved — thanks to task descriptions, comments, and attachments, all essential information about each task remains available for ongoing work and future reference
Workflow history — see the full timeline of each task: when and how its status changed, which agents were involved, and every action that led to the current state
For feature architecture and implementation guidance: