head to head · open source
headroom vs langroid
headroom has 78,773 GitHub stars, 6,155 forks, 643 open issues and last shipped yesterday. langroid has 4,125 stars, 431 forks, 52 open issues and last shipped 2 days ago. headroom leads on adoption by 1,810% (78,773 vs 4,125 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 | ★ 79K | ★ 4.1K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-11-04 | 2026-11-03 |
| Forks | ⑂ 6.2K | ⑂ 431 |
| 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 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
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 langroid
Documentation · Examples Repo · Discord · Contributing Langroid is an intuitive, lightweight, extensible and principled Python framework to easily build LLM powered applications, from CMU and UW Madison researchers. You set up Agents, equip them with optional components (LLM, vector store and tools/functions), assign them tasks, and have them collaboratively solve a problem by exchanging messages. This Multi Agent paradigm is inspired by the Actor Framework (but you do not need to know anything about this!). Langroid is a fresh take on LLM app development, where considerable thought has gone…
read the full langroid overview →
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Frequently asked questions
Is headroom or langroid more popular?
headroom has 78,773 GitHub stars and langroid has 4,125. 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 (78,773 stars) or its Apache-2.0 licence terms. Choose langroid if its feature set, stack or MIT licence fits better. Both are self-hostable.