head to head · open source
headroom vs langroid
headroom has 73,130 GitHub stars, 5,624 forks, 643 open issues and last shipped yesterday. langroid has 4,103 stars, 401 forks, 52 open issues and last shipped 3 days ago. headroom leads on adoption by 1,682% (73,130 vs 4,103 stars). headroom is written in Python under Apache-2.0; langroid is written in Python under MIT. headroom has attracted 8% as many forks as stars, langroid 10%. headroom was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, llm), 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 | langroid | |
|---|---|---|
| GitHub stars | ★ 73K | ★ 4.1K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-09-19 | 2026-09-17 |
| Forks | ⑂ 5.6K | ⑂ 401 |
| 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 langroid if
- You want the langroid feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and langroid 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 langroid
Langroid is a Python framework for building applications powered by large language models through multiple agents. It comes from researchers at CMU and UW Madison, and it lives in the Python AI development ecosystem. Developers create agents, give them optional components such as a language model, a vector store, and tools or functions, and assign tasks that the agents solve by exchanging messages.
read the full langroid overview →
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Frequently asked questions
Is headroom or langroid more popular?
headroom has 73,130 GitHub stars and langroid has 4,103. headroom has the larger community by that measure.
Are headroom and langroid free?
Both are open source. headroom is licensed under Apache-2.0 and langroid under MIT. Neither carries a licence fee.
What is the difference between headroom and langroid?
headroom is written in Python and langroid 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 langroid?
Choose headroom if you want the larger community (73,130 stars) or its Apache-2.0 licence terms. Choose langroid if its feature set, stack or MIT licence fits better. Both are self-hostable.