Team Tasks
A local Python CLI coordinates AI agents through shared task files, with OpenClaw integration, dependency-based parallel work and cross-review.
Team Tasks is a local command-line tool for developers coordinating AI agents through OpenClaw or another orchestration system. Shared JSON files keep task assignments, progress and results in one project record.
- Sequential pipelines: Move work through ordered stages that advance automatically when an agent finishes, for tasks such as bug fixes and simple features.
- Parallel dependencies: Track which tasks depend on others, identify work that's ready to run together and pass earlier results to dependent agents.
- Debate and cross-review: Collect agents' positions on the same question, have them review each other's responses and gather material for a synthesis, with roles that give participants different areas of focus.
The tool manages coordination state. In the OpenClaw integration, the orchestrating agent dispatches work to worker agents and tracks it through the CLI. Failed tasks block downstream work that depends on them.
Team Tasks requires Python 3.12 or later and uses only the standard library, with no external dependencies. It stores project data locally as JSON files; the model services used by the participating agents are separate from this coordination tool.