head to head · open source
agent-framework vs AutoSwarm-Shadow-Adapter
agent-framework has 14,239 GitHub stars, 2,493 forks, 617 open issues and last shipped yesterday. AutoSwarm-Shadow-Adapter has 2,190 stars, 2 forks, 1 open issues and last shipped 2 days ago. agent-framework leads on adoption by 550% (14,239 vs 2,190 stars). agent-framework is written in Python under MIT; AutoSwarm-Shadow-Adapter is written in Python under MIT. agent-framework has attracted 18% as many forks as stars, AutoSwarm-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.
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Side by side
| agent-framework | AutoSwarm-Shadow-Adapter | |
|---|---|---|
| GitHub stars | ★ 14K | ★ 2.2K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-10-21 | 2026-10-20 |
| Forks | ⑂ 2.5K | ⑂ 2 |
| 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
pick AutoSwarm-Shadow-Adapter if
- You want the AutoSwarm-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 AutoSwarm-Shadow-Adapter fits your workflow better
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 AutoSwarm-Shadow-Adapter
AutoSwarm Shadow Adapter Non Blocking Human in the Loop (HITL) & BYOC Infrastructure for AutoSwarm AI Agent Employees For Your Compan The Carbon Silicon Continuum: Real Humans & Remote PCs as First Class AutoSwarm Employees Built for AutoSwarm Zero Core Modifications Production Release v0.1.0 What is AutoSwarm Shadow Adapter? AutoSwarm shadow adapter is a high concurrency Temporal Bridge for AutoSwarm. It allows AutoSwarm 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…
read the full AutoSwarm-Shadow-Adapter overview →
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Frequently asked questions
Is agent-framework or AutoSwarm-Shadow-Adapter more popular?
agent-framework has 14,239 GitHub stars and AutoSwarm-Shadow-Adapter has 2,190. agent-framework has the larger community by that measure.
Are agent-framework and AutoSwarm-Shadow-Adapter free?
Both are open source. agent-framework is licensed under MIT and AutoSwarm-Shadow-Adapter under MIT. Neither carries a licence fee.
What is the difference between agent-framework and AutoSwarm-Shadow-Adapter?
agent-framework is written in Python and AutoSwarm-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 AutoSwarm-Shadow-Adapter?
Choose agent-framework if you want the larger community (14,239 stars) or its MIT licence terms. Choose AutoSwarm-Shadow-Adapter if its feature set, stack or MIT licence fits better. Both are self-hostable.