chopratejas/headroom

Worth installing(Strong adoption and recent activity)

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

Why this repo matters

Reduces LLM token usage by 60-95% while preserving answer quality for logs and RAG chunks.
Offers flexible integration as a Python library, proxy, or MCP server for diverse workflows.
Gaining rapid adoption with over 1400 stars this week, indicating strong community validation.

Trend Velocity Score: 0.00
Opportunity Score: 10.00
Confidence Score: 100.00
Language: Python
License: Apache-2.0
Topics:
🏷️ agent 🏷️ ai 🏷️ anthropic 🏷️ claude-code 🏷️ compression 🏷️ context-engineering 🏷️ context-window 🏷️ cursor 🏷️ fastapi 🏷️ langchain 🏷️ llm 🏷️ mcp 🏷️ openai 🏷️ prompt-engineering

69.0k stars+38.5k over 40 snapshots6/17/2026 – 9/5/2026

An agentic skills framework & software development methodology that works.

Skills for Real Engineers. Straight from my .agents directory.

A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.

DigitalPlat FreeDomain: Free Domain For Everyone