MCP工具推荐：headroom – Compress tool outputs, logs, files, and

📖 项目详情

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.

该项目主要使用Python开发。

相关领域：Agent, 人工智能, anthropic, claude-code, compression

以下是项目原始介绍（英文）：

██╗  ██╗███████╗ █████╗ ██████╗ ██████╗  ██████╗  ██████╗ ███╗   ███╗
██║  ██║██╔════╝██╔══██╗██╔══██╗██╔══██╗██╔═══██╗██╔═══██╗████╗ ████║
███████║█████╗  ███████║██║  ██║██████╔╝██║   ██║██║   ██║██╔████╔██║
██╔══██║██╔══╝  ██╔══██║██║  ██║██╔══██╗██║   ██║██║   ██║██║╚██╔╝██║
██║  ██║███████╗██║  ██║██████╔╝██║  ██║╚██████╔╝╚██████╔╝██║ ╚═╝ ██║
╚═╝  ╚═╝╚══════╝╚═╝  ╚═╝╚═════╝ ╚═╝  ╚═╝ ╚═════╝  ╚═════╝ ╚═╝     ╚═╝
The context compression layer for AI agents

60–95% fewer tokens · library · proxy · MCP · 6 algorithms · local-first · reversible

Docs ·

Install ·

Proof ·

Agents ·

Discord ·

llms.txt ·

Enterprise

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.

_{Live: 10,144 → 1,260 tokens — same FATAL found.}

What it does

• Library — `compress(messages)` in Python or TypeScript, inlin

…(更多内容请访问项目主页)

🔗 项目地址

https://github.com/chopratejas/headroom

⭐ 19,119 Stars | Python