head to head · open source

agent-framework vs OpenOPC-Shadow-Adapter

agent-framework has 14,219 GitHub stars, 2,491 forks, 617 open issues and last shipped yesterday. OpenOPC-Shadow-Adapter has 1,844 stars, 1 forks, 0 open issues and last shipped 2 months ago. agent-framework leads on adoption by 671% (14,219 vs 1,844 stars). agent-framework is written in Python under MIT; OpenOPC-Shadow-Adapter is written in Python under MIT. agent-framework has attracted 18% as many forks as stars, OpenOPC-Shadow-Adapter 0%. agent-framework was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (agentic-ai), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

agent-framework ★ 14K OpenOPC-Shadow-Adapter ★ 1.8K category Infrastructure & Operations

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Side by side

agent-framework OpenOPC-Shadow-Adapter
GitHub stars ★ 14K ★ 1.8K
License MIT MIT
Written in Python Python
Last push 2026-10-19 2026-08-20
Forks ⑂ 2.5K ⑂ 1
Self-hosting Yes Yes
Data ownership Your server Your server

pick agent-framework if

  • You weight community size — 14K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full agent-framework profile →

pick OpenOPC-Shadow-Adapter if

  • You want the OpenOPC-Shadow-Adapter feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and OpenOPC-Shadow-Adapter fits your workflow better

full OpenOPC-Shadow-Adapter profile →

About agent-framework

Welcome to Microsoft Agent Framework! Microsoft Agent Framework (MAF) is an open, multi language framework for building production grade AI agents and multi agent workflows in .NET and Python . Microsoft Agent Framework is built for teams taking agents from prototype to production. It provides a consistent foundation for building, orchestrating, and operating agent systems across Python, .NET and Go, while keeping architecture choices open as requirements evolve, and supports a broad ecosystem including Microsoft Foundry, Azure OpenAI, OpenAI, and the GitHub Copilot SDK, with samples and hosting patterns for…

read the full agent-framework overview →

About OpenOPC-Shadow-Adapter

OpenOPC Shadow Adapter Non Blocking Human in the Loop (HITL) & BYOC Infrastructure for OpenOPC AI Agent Employees For Your Compan The Carbon Silicon Continuum: Real Humans & Remote PCs as First Class OpenOPC Employees Built for OpenOPC Zero Core Modifications Production Release v0.1.0 What is OpenOPC Shadow Adapter? openopc shadow adapter is a high concurrency Temporal Bridge for OpenOPC. It allows OpenOPC agentic DAGs to pause non blockingly when a role requires human sign off (Carbon) or remote GPU execution (Silicon BYOC), without causing engine timeouts or stalling parallel branches. 1. Non Blocking…

read the full OpenOPC-Shadow-Adapter overview →

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Frequently asked questions

Is agent-framework or OpenOPC-Shadow-Adapter more popular?

agent-framework has 14,219 GitHub stars and OpenOPC-Shadow-Adapter has 1,844. agent-framework has the larger community by that measure.

Are agent-framework and OpenOPC-Shadow-Adapter free?

Both are open source. agent-framework is licensed under MIT and OpenOPC-Shadow-Adapter under MIT. Neither carries a licence fee.

What is the difference between agent-framework and OpenOPC-Shadow-Adapter?

agent-framework is written in Python and OpenOPC-Shadow-Adapter in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, agent-framework or OpenOPC-Shadow-Adapter?

Choose agent-framework if you want the larger community (14,219 stars) or its MIT licence terms. Choose OpenOPC-Shadow-Adapter if its feature set, stack or MIT licence fits better. Both are self-hostable.