head to head · open source

headroom vs invisible_playwright_mcp

headroom has 79,040 GitHub stars, 6,175 forks, 643 open issues and last shipped yesterday. invisible_playwright_mcp has 872 stars, 117 forks, 4 open issues and last shipped 18 days ago. headroom leads on adoption by 8,964% (79,040 vs 872 stars). headroom is written in Python under Apache-2.0; invisible_playwright_mcp is written in Python under MIT. headroom has attracted 8% as many forks as stars, invisible_playwright_mcp 13%. headroom was the more recently maintained of the two, and both are self-hostable with no licence fee.

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 ★ 79K invisible_playwright_mcp ★ 872 category AI & Machine Learning

← all 20902 open source comparisons

Side by side

headroom invisible_playwright_mcp
GitHub stars ★ 79K ★ 872
License Apache-2.0 MIT
Written in Python Python
Last push 2026-11-07 2026-10-21
Forks ⑂ 6.2K ⑂ 117
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

full headroom profile →

pick invisible_playwright_mcp if

  • You want the invisible_playwright_mcp feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and invisible_playwright_mcp fits your workflow better

full invisible_playwright_mcp profile →

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 invisible_playwright_mcp

An anti detect browser and web browsing agent, open source, with an MCP server for coding agents: undetected, no captchas, no blocks. Tell it what you want in plain language. Two ways to use this browser agent 1. From your assistant, over MCP Windows, in PowerShell: Linux: Then install it in your assistant. Claude Code: Codex: Gemini CLI: 2. Standalone: the web UI We bring the interface, you bring an OpenRouter key. Chat on the left, the live browser on the right. Windows, in PowerShell: Linux: Then open and type the same thing. What to ask a web browsing agent Anything that needs real web automation: a browser…

read the full invisible_playwright_mcp overview →

More in AI & Machine Learning

Related comparisons

More AI Development Platforms projects

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

Frequently asked questions

Is headroom or invisible_playwright_mcp more popular?

headroom has 79,040 GitHub stars and invisible_playwright_mcp has 872. headroom has the larger community by that measure.

Are headroom and invisible_playwright_mcp free?

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

What is the difference between headroom and invisible_playwright_mcp?

headroom is written in Python and invisible_playwright_mcp 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 invisible_playwright_mcp?

Choose headroom if you want the larger community (79,040 stars) or its Apache-2.0 licence terms. Choose invisible_playwright_mcp if its feature set, stack or MIT licence fits better. Both are self-hostable.