head to head · open source
Archon vs agent-framework
Archon has 23,828 GitHub stars, 3,524 forks, 321 open issues and last shipped 2 days ago. agent-framework has 14,539 stars, 2,573 forks, 617 open issues and last shipped yesterday. Archon leads on adoption by 64% (23,828 vs 14,539 stars). Archon is written in TypeScript under MIT; agent-framework is written in Python under MIT. Archon has attracted 15% as many forks as stars, agent-framework 18%. 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 (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
| Archon | agent-framework | |
|---|---|---|
| GitHub stars | ★ 24K | ★ 15K |
| License | MIT | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-11-04 | 2026-11-05 |
| Forks | ⑂ 3.5K | ⑂ 2.6K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Archon if
- You weight community size — 24K stars and counting
- You want the MIT license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick agent-framework if
- You want the agent-framework feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and agent-framework fits your workflow better
About Archon
Archon The first open source harness builder for AI coding. Make AI coding deterministic and repeatable. Archon is a workflow engine for AI coding agents. Define your development processes as YAML workflows planning, implementation, validation, code review, PR creation and run them reliably across all your projects. Like what Dockerfiles did for infrastructure and GitHub Actions did for CI/CD Archon does for AI coding workflows. Think n8n, but for software development. Why Archon? When you ask an AI agent to "fix this bug", what happens depends on the model's mood. It might skip planning. It might forget to run…
read the full Archon overview →
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 →
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Frequently asked questions
Is Archon or agent-framework more popular?
Archon has 23,828 GitHub stars and agent-framework has 14,539. Archon has the larger community by that measure.
Are Archon and agent-framework free?
Both are open source. Archon is licensed under MIT and agent-framework under MIT. Neither carries a licence fee.
What is the difference between Archon and agent-framework?
Archon is written in TypeScript and agent-framework 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, Archon or agent-framework?
Choose Archon if you want the larger community (23,828 stars) or its MIT licence terms. Choose agent-framework if its feature set, stack or MIT licence fits better. Both are self-hostable.