head to head · open source
headroom vs LangBot
headroom has 78,773 GitHub stars, 6,155 forks, 643 open issues and last shipped yesterday. LangBot has 18,716 stars, 1,681 forks, 119 open issues and last shipped yesterday. headroom leads on adoption by 321% (78,773 vs 18,716 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 | ★ 79K | ★ 19K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-04 | 2026-11-04 |
| Forks | ⑂ 6.2K | ⑂ 1.7K |
| 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 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
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 LangBot
Production grade platform for building agentic IM bots. Quickly build, debug, and ship AI bots to Slack, Discord, Telegram, WeChat, and more. English / 简体中文 / 繁體中文 / 日本語 / Español / Français / 한국어 / Русский / Tiếng Việt Website ｜ Features ｜ Docs ｜ API ｜ Cloud ｜ Plugin Market ｜ Roadmap What is LangBot? LangBot is an open source, production grade platform for building AI powered instant messaging bots. It connects Large Language Models (LLMs) to any chat platform, enabling you to create intelligent agents that can converse, execute tasks, and integrate with your existing workflows. Key Capabilities AI…
read the full LangBot overview →
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Frequently asked questions
Is headroom or LangBot more popular?
headroom has 78,773 GitHub stars and LangBot has 18,716. 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 (78,773 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.