Ross ROSS = Recommend OSS · open-source software intelligence for agents

uluckyXH/OpenMOSS

A self-organizing multi-agent collaboration platform for OpenClaw. Multiple AI agents work as an autonomous team — planning, executing, reviewing, and patrolling tasks with zero human intervention. observed · 2026-08-28

github.com/uluckyXH/OpenMOSS · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

69/100

  • Activity 88
  • Release rhythm 77
  • Longevity 12

Flags: young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 0.5
  • age_days: 178
  • days_rel: 153
  • days_push: 72
  • n_releases_24m: 5

Full methodology

Adoption not part of the score

1314 stars · 143 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

OpenMOSS is a self-hosted multi-agent collaboration platform that organizes AI agents (built on OpenClaw/Claude Code) into an autonomous 'AI company' with planner, executor, reviewer, and patroller roles. It provides closed-loop quality control, cron-based self-waking agents, performance scoring, and a built-in Vue 3 web dashboard for task and agent management.

Use cases

  • run multiple ai agents as an autonomous team without human intervention
  • orchestrate planner executor reviewer agent roles for task delivery
  • automate daily recurring content production with ai agents
  • monitor and auto-recover stuck ai agent tasks
  • self-host a multi-agent task management dashboard
  • build an ai agent team with quality review and rework loops

When to choose

  • you want fully autonomous multi-agent workflows with minimal human oversight
  • you need closed-loop quality control with review, scoring, and rework cycles
  • you want recurring 24/7 agent operations like daily publishing or data reviews
  • you already use OpenClaw or Claude Code agents and want team-level orchestration

When to avoid

  • you need a single simple agent without multi-role coordination overhead
  • you cannot afford high LLM token consumption from many concurrent agents
  • you require guaranteed enterprise-grade reliability from a young project
  • you don't want to depend on the OpenClaw ecosystem

Facets

application · maturity active

agent-framework workflow-automation scheduling web-framework chatbot artificial-intelligence large-language-models self-hosted python self-hosted cross-platform multi-agent openclaw autonomous-agents task-orchestration fastapi vue3 quality-control-loop ai-company ai-agents automation web-server docker

1 source

Member repositories

RepositoryRoleHealth v2
uluckyXH/OpenMOSSmain69

For agents

markdown · JSON · MCP: product_card(name="uluckyXH/OpenMOSS")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem