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clawteam

Orchestrate multi-agent AI swarms using the ClawTeam CLI to automate parallel task execution, dependency management, and team collaboration with git worktree isolation and tmux support.

Introduction

ClawTeam is a powerful CLI framework designed for orchestrating multiple AI coding agents into self-organizing, collaborative swarms. It bridges the gap between individual agents by providing a unified coordination layer that manages task delegation, inter-agent communication, and parallel execution. Designed for developers and AI researchers, it turns isolated agents into cohesive teams capable of tackling complex, multi-stage software projects without constant human intervention.

  • Multi-agent swarm orchestration using the clawteam CLI, supporting diverse backends like OpenClaw, Claude Code, Codex, and others.

  • Advanced task management with dependency resolution, ensuring that blocked tasks automatically transition to pending status upon the completion of requirements.

  • Infrastructure-level isolation through per-agent git worktrees and isolated tmux session management, ensuring agents operate in clean, conflict-free environments.

  • Rich messaging system allowing point-to-point communication and global broadcasts between team members via a filesystem-based transport layer.

  • Real-time monitoring via integrated kanban boards, live terminal tiles, and web-based dashboard serves to visualize team progress and agent states.

  • Template-based deployment for rapid setup of specialized swarms such as hedge-fund, code-review, and research-paper workflows.

  • Recommended usage involves defining high-level goals and letting the leader agent utilize the CLI to spawn workers, split tasks, and assign responsibilities.

  • Requires Python 3.10+, tmux for terminal-based window management, and a compatible CLI coding agent installed in the system PATH.

  • Best suited for complex workflows requiring parallel execution, such as implementing authentication flows, writing unit tests, and building frontend dashboards simultaneously.

  • Note that while Linux and macOS benefit from native tmux integration, Windows users can utilize the subprocess backend or run the system inside WSL for optimal performance.

  • Provides built-in cost tracking to monitor token usage and budget constraints for automated team activities, ensuring fiscal control over agent operations.

Repository Stats

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Language
Python
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main
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Idle
Last Synced
May 1, 2026, 07:46 AM
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