head to head · open source
headroom vs LangBot
headroom has 73,130 GitHub stars, 5,624 forks, 643 open issues and last shipped yesterday. LangBot has 17,921 stars, 1,603 forks, 119 open issues and last shipped yesterday. headroom leads on adoption by 308% (73,130 vs 17,921 stars). headroom is written in Python under Apache-2.0; LangBot is written in Python under Apache-2.0. headroom has attracted 8% as many forks as stars, LangBot 9%. headroom was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (agent, 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 | LangBot | |
|---|---|---|
| GitHub stars | ★ 73K | ★ 18K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-19 | 2026-09-19 |
| Forks | ⑂ 5.6K | ⑂ 1.6K |
| 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 LangBot if
- You want the LangBot 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 LangBot 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 LangBot
LangBot is an open source, production grade platform for building AI powered instant messaging bots, aimed at developers and teams who need to connect large language models to chat platforms such as Discord, Telegram, Slack, LINE, and WeChat.
read the full LangBot overview →
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Frequently asked questions
Is headroom or LangBot more popular?
headroom has 73,130 GitHub stars and LangBot has 17,921. headroom has the larger community by that measure.
Are headroom and LangBot free?
Both are open source. headroom is licensed under Apache-2.0 and LangBot under Apache-2.0. Neither carries a licence fee.
What is the difference between headroom and LangBot?
headroom is written in Python and LangBot 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 LangBot?
Choose headroom if you want the larger community (73,130 stars) or its Apache-2.0 licence terms. Choose LangBot if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.