head to head · open source
headroom vs Agno
headroom has 78,657 GitHub stars, 6,141 forks, 643 open issues and last shipped yesterday. Agno has 43,019 stars, 6,229 forks, 1,419 open issues and last shipped yesterday. headroom leads on adoption by 83% (78,657 vs 43,019 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%. Agno 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 | ★ 79K | ★ 43K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 6.1K | ⑂ 6.2K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick headroom if
- You weight community size — 79K 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
Quickstart · Install · Proof · Agents · Docs · Discord · llms.txt AI agents / LLMs: read /llms.txt here, or fetch the live index · full docs blob . Headroom compresses everything your AI agent reads — tool outputs, logs, RAG chunks, files, and conversation history — before it reaches the LLM. Same answers, fraction of the tokens. Compression runs on your machine; no prompt or file content is sent anywhere to be compressed. 10,144 → 1,260 tokens. The same FATAL found. What it does Library — compress(messages) in Python or TypeScript, inline in any app. Proxy — headroom proxy port 8787 , zero code changes, any…
read the full headroom overview →
About Agno
Build, run, and manage agent platforms. Introduction Agno is a framework and runtime for agent platforms. Build agents, run them as a service, manage your platform using a web UI. Build your agent platform using the Agno SDK. Run your agent platform using the AgentOS runtime. Manage everything using the AgentOS UI. Agno allows you to own your agent stack. Maintain control of your data, memory, and security posture (JWT based RBAC), and turn your agent platform into a learning loop with simulations and usage data. Get started Hand this prompt to your coding agent (Claude Code, Cursor, Codex): Your coding agent…
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Frequently asked questions
Is headroom or Agno more popular?
headroom has 78,657 GitHub stars and Agno has 43,019. 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 (78,657 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.