head to head · open source

headroom vs oh-my-pi

headroom has 73,287 GitHub stars, 5,636 forks, 643 open issues and last shipped 3 days ago. oh-my-pi has 32,178 stars, 3,411 forks, 2,964 open issues and last shipped yesterday. headroom leads on adoption by 128% (73,287 vs 32,178 stars). headroom is written in Python under Apache-2.0; oh-my-pi is written in TypeScript under MIT. headroom has attracted 8% as many forks as stars, oh-my-pi 11%. oh-my-pi was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (anthropic, llm, mcp), 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.

headroom ★ 73K oh-my-pi ★ 32K category AI & Machine Learning

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Side by side

headroom oh-my-pi
GitHub stars ★ 73K ★ 32K
License Apache-2.0 MIT
Written in Python TypeScript
Last push 2026-09-19 2026-09-21
Forks ⑂ 5.6K ⑂ 3.4K
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

full headroom profile →

pick oh-my-pi if

  • You want the oh-my-pi feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches TypeScript
  • You evaluated both and oh-my-pi fits your workflow better

full oh-my-pi profile →

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 oh-my-pi

oh my pi is an MIT licensed, terminal based coding agent distributed as omp, built for developers who want a complete agent surface — 60+ model providers, 31 built in tools, language server and debug adapter integration — that runs on their own machine instead of assembling a stack of separate tools.

read the full oh-my-pi overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 248K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs comfyui openclaw vs odysseus openclaw vs lobechat openclaw vs anythingllm openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs odysseus ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all

More AI Development Platforms projects

Compare either of these against the rest of the AI Development Platforms field.

headroom vs Dify headroom vs langchain headroom vs ponytail headroom vs generative-ai-for-beginners headroom vs graphify headroom vs claude-mem headroom vs ragflow headroom vs PaddleOCR headroom vs Agent-Reach headroom vs Mem0 headroom vs daily_stock_analysis headroom vs LiteLLM

Frequently asked questions

Is headroom or oh-my-pi more popular?

headroom has 73,287 GitHub stars and oh-my-pi has 32,178. headroom has the larger community by that measure.

Are headroom and oh-my-pi free?

Both are open source. headroom is licensed under Apache-2.0 and oh-my-pi under MIT. Neither carries a licence fee.

What is the difference between headroom and oh-my-pi?

headroom is written in Python and oh-my-pi in TypeScript. 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 oh-my-pi?

Choose headroom if you want the larger community (73,287 stars) or its Apache-2.0 licence terms. Choose oh-my-pi if its feature set, stack or MIT licence fits better. Both are self-hostable.