OpenMOSS

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GitHub Python MIT

Description

A self-organizing multi-agent collaboration platform where multiple AI agents work as an autonomous team, handling planning, executing, reviewing, and patrolling tasks with zero human intervention.

Key Features

  • Four specialized agent roles: Planner, Executor, Reviewer, and Patrol for autonomous operation
  • Closed-loop quality control with review, scoring, and rework rejection cycles
  • Cron-based autonomous agent scheduling for 24/7 unattended operation
  • Performance tracking with agent leaderboards and incentive-driven output
  • Built-in WebUI with task management, activity feeds, and prompt management
  • Pluggable Skill system where agent capabilities are defined by configurable skills

Use Cases

💡 Content production pipelines: collect, translate, review, and publish automatically
💡 Autonomous software development with planning, coding, code review, and CI monitoring
💡 Multi-agent research teams for data collection, analysis, and reporting
💡 Automated operations monitoring with anomaly detection and self-healing
💡 7x24 recurring tasks like daily content production and data review

Quick Start

Prerequisites: Python 3.10+, OpenClaw, FastAPI. Clone the repo, install dependencies, configure agent roles with prompts and skills, then start the backend on port 6565. Agents auto-schedule via cron for autonomous task execution.

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