head to head · open source
headroom vs Agno
headroom has 72,811 GitHub stars, 5,598 forks, 643 open issues and last shipped 2 days ago. Agno has 42,226 stars, 5,947 forks, 1,419 open issues and last shipped 2 days ago. headroom leads on adoption by 72% (72,811 vs 42,226 stars). headroom is written in Python under Apache-2.0; Agno is written in Python under Apache-2.0. headroom has attracted 8% as many forks as stars, Agno 14%. headroom 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
| headroom | Agno | |
|---|---|---|
| GitHub stars | ★ 73K | ★ 42K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 5.6K | ⑂ 5.9K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick headroom if
- You weight community size — 73K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick Agno if
- You want the Agno feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and Agno fits your workflow better
About headroom
Headroom is an Apache 2.0 Python library, local proxy, agent wrapper and MCP server that compresses tool outputs, logs, files, RAG chunks and conversation history before they reach an LLM, and it is built for developers running AI coding agents or LLM applications who want to cut token usage without changing the answers they get.
read the full headroom overview →
About Agno
Agno is a model agnostic platform for building, running, and managing AI agent platforms. It provides both a Python SDK for agent development and a runtime environment (AgentOS) for serving agents as services, backed by a web based control plane. Agno lives in the Python based AI development ecosystem and targets teams seeking full ownership of their agent infrastructure without vendor lock in.
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Frequently asked questions
Is headroom or Agno more popular?
headroom has 72,811 GitHub stars and Agno has 42,226. headroom has the larger community by that measure.
Are headroom and Agno free?
Both are open source. headroom is licensed under Apache-2.0 and Agno under Apache-2.0. Neither carries a licence fee.
What is the difference between headroom and Agno?
headroom is written in Python and Agno 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, headroom or Agno?
Choose headroom if you want the larger community (72,811 stars) or its Apache-2.0 licence terms. Choose Agno if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.