# HKUDS/OpenOPC

OpenOPC: Build Your Personal AI-Native Company — Self-Built, Self-Run, Self-Grown

Repository: https://github.com/HKUDS/OpenOPC
Canonical: https://ross.abutalabs.com/products/openopc
Language: Python
License: MIT
License Family: permissive
Last push: 2026-08-26T15:35:10+00:00

## Health v2 (maintenance only)
Score: 58/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 4
- inputs: {"age_days": 63, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1537, forks 275 (observed 2026-08-28T04:04:59.952588+00:00)

## What it is
OpenOPC is a Python framework for building a personal AI-native company that recruits role-specific AI employees, assigns and hands off tasks automatically, and learns from each run to build organizational memory. It offers both a CLI and a React/Phaser-based Office UI for running multi-agent organizations across verticals like software engineering, finance, sales, media, e-commerce, and education.

## Use cases
- build a virtual AI company that runs itself
- automate multi-agent task delegation and handoffs
- assemble role-specific AI employees for a project
- run end-to-end projects with an AI team
- give my AI agents organizational memory across tasks
- simulate an AI-native startup org
- orchestrate agent swarms for business workflows

## When to choose
- you want a self-running multi-agent organization rather than a single chatbot
- you need role-based agents with delegation, review, and shared context
- you want both CLI automation and a visual office-style UI
- you work across business verticals like finance, sales, or e-commerce with AI teams

## When to avoid
- you need a simple single-agent chatbot or prompt tool
- you require production-grade enterprise workflow orchestration with SLAs
- you want a lightweight agent library to embed in your own app
- you need non-LLM automation without API costs

## Facets
- artifact type: framework
- maturity: active
- function: agent-framework, llm-inference, workflow-automation, chat-interface, cli
- domain: artificial-intelligence, large-language-models, developer-tools
- platform: python, cli, cross-platform
- tags: multi-agent, ai-employees, organizational-memory, office-ui, self-running-agents, company-simulation, task-delegation, ai-agents, automation, web-server

## Member repositories
- HKUDS/OpenOPC (main) score 58

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:59.952588+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 2026-08-30T04:30:59.503811+00:00, confidence not recorded.
  - readme: https://github.com/HKUDS/OpenOPC (fetched 2026-08-28T04:04:59.952588+00:00, sha 7937aa0cdda7)
- Data as of 2026-08-30T08:39:29.467469+00:00.