HKUDS/OpenOPC

Health v2 · maintenance only

Flags: no_releases young

Adoption not part of the score

1537 stars · 275 forks observed · 2026-08-28

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

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

framework · maturity active

agent-framework llm-inference workflow-automation chat-interface cli artificial-intelligence large-language-models developer-tools python cli cross-platform multi-agent ai-employees organizational-memory office-ui self-running-agents company-simulation task-delegation ai-agents automation web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="HKUDS/OpenOPC")