# 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.

Repository: https://github.com/uluckyXH/OpenMOSS
Canonical: https://ross.abutalabs.com/products/openmoss
Language: Python
License: MIT
License Family: permissive
Last push: 2026-06-22T13:04:48+00:00

## Health v2 (maintenance only)
Score: 69/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 88, release rhythm 77, longevity 12
- inputs: {"age_days": 178, "days_push": 72, "days_rel": 153, "gap_med": 0.5, "n_releases_24m": 5}
- flags: young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1314, forks 143 (observed 2026-08-28T04:04:20.300282+00:00)

## What it is
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
- artifact type: application
- maturity: active
- function: agent-framework, workflow-automation, scheduling, web-framework, chatbot
- domain: artificial-intelligence, large-language-models, self-hosted
- platform: python, self-hosted, cross-platform
- tags: multi-agent, openclaw, autonomous-agents, task-orchestration, fastapi, vue3, quality-control-loop, ai-company, ai-agents, automation, web-server, docker

## Member repositories
- uluckyXH/OpenMOSS (main) score 69

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:20.300282+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:48:48.426126+00:00, confidence not recorded.
  - readme: https://github.com/uluckyXH/OpenMOSS (fetched 2026-08-28T04:04:20.300282+00:00, sha 03462bfdc956)
- Data as of 2026-08-30T08:39:29.467469+00:00.