ClawTeam (by HKUDS)
ClawTeam turns a single complex task into a coordinated swarm of specialised agents that divide the work, stay in sync, and report back in real time.
About
ClawTeam turns a single complex task into a coordinated swarm of specialised agents that divide the work, stay in sync, and report back in real time. Built on git worktrees for isolation and tmux for visibility, it avoids heavyweight infrastructure like Docker or message queues. Each agent gets CLI commands auto-injected into its context so it can check its task queue, update status, and message teammates — no manual orchestration prompt engineering required.
Engineering teams running complex multi-step tasks that benefit from parallelism: ML experiments, large refactors, multi-service feature development. Especially suited to setups where you already rely on CLI agents and want swarm coordination without adopting a full orchestration platform.
Pros & Cons
Pros
- check Zero extra infrastructure: runs on tmux and git worktrees that most developers already have
- check Agents are genuinely isolated via git worktrees, preventing file conflicts on shared codebases
- check Built-in web UI and tiled tmux view for observing the whole team at once
- check Pre-built templates for real use cases: ML research coordination, full-stack dev, and an AI hedge fund setup
- check Simple task CLI means any CLI agent can participate without custom integration
Cons
- close Hard dependency on tmux makes it desktop/server-only — no cloud or containerised environments without workarounds
- close Works only with CLI agents that accept command-line arguments; GUI or API-only agents can't participate
- close Filesystem-based architecture doesn't scale horizontally across multiple machines
- close Coordination logic is relatively simple — no DAG-based dependency resolution or retry strategies
More Orchestration
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