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OpenOPC (announced by @huang_chao4969 on 2026-07-04) is an open-source framework…

Brief

OpenOPC is an open-source project (github.com/HKUDS/OpenOPC) presented by @huang_chao4969 on 2026-07-04 that automates creation of AI role-employees, orchestrates multi-agent workflows with handoffs and peer review, and captures task executions as reusable knowledge so the AI-native company continuously learns and improves.

Why it matters

OpenOPC (announced by @huang_chao4969 on 2026-07-04) is an open-source framework that auto-instantiates role-specific AI employees and organizes them into a fully structured, task-ready company with no manual setup required.

Key details

  • The framework self-runs multi-agent collaboration via structured task assignment, intelligent handoffs, peer reviews, and closed-loop execution cycles to coordinate work.
  • OpenOPC self-grows by recording every task run as reusable organizational knowledge for continuous learning and improvement; source code is available at github.com/HKUDS/OpenOPC.
Source evidence

Introducing OpenOPC, an open-source framework for building your own AI-native company.

Key features of OpenOPC:

🏗️ Self-Built
OpenOPC automatically instantiates role-specific AI employees and organizes them into a fully structured, task-ready company — no manual setup required.

⚙️ Self-Run
It orchestrates seamless multi-agent collaboration through structured task assignment, intelligent handoffs, peer reviews, and closed-loop execution cycles.

🌱 Self-Grown
Every task run is captured as reusable organizational knowledge, enabling your AI company to continuously learn, adapt, and improve over time.

Fully Open Sourced: github.com/HKUDS/OpenOPC