777genius/agent-teams-ai
You're the boss, 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/Cursor/Grok/GitHub Copilot/Kiro/Z.AI/MiniMax/Kimi(200+ models, 75+ LLM providers, free models no auth). Build your AI company with multiple teams
What it solves
It addresses the complexity of managing multiple AI agents working on complex coding and project tasks. Instead of managing isolated LLM chats, users can coordinate autonomous agent teams that communicate, delegate tasks, and review each other's work within a unified workspace.
How it works
The platform acts as an orchestration layer that connects to various AI runtimes and providers (such as Claude Code, Cursor, GitHub Copilot, and others). It uses a Kanban-based task system where agents can create, manage, and communicate about tasks. The system supports both fully autonomous execution and human-in-the-loop workflows where users must approve specific tool actions. It also includes an integrated terminal, a built-in code editor, and a context monitoring system to track token usage and costs.
Who it’s for
Developers and project managers who want to scale their productivity by deploying teams of AI agents to handle coding, code reviews, and complex project workflows.
Highlights
- Multi-provider orchestration: Connects to Claude Code, Codex, Cursor, GitHub Copilot, and more.
- Visual task management: Features a real-time Kanban board to track agent tasks and progress.
- Agent collaboration: Enables agents to communicate, delegate, and review tasks across different teams.
- Advanced analytics: Provides detailed tracking of token usage, costs, and budget alerts.
- Human-in-the-loop: Offers per-action approval controls and direct messaging to agents.
- Integrated workspace: Includes a built-in code editor, terminal, and Git support.