chopratejas/headroom

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

4 best points · 8 comments · 9 Hacker News posts · 79,044 GitHub stars · View on GitHub

Hacker News discussions

• A Compression Tool for LLM Reads. Est. 60-95% Fewer Tokens (4 points, 0 comments, by botacode, 2026-05-16)
• Compress tool outputs, logs, files, RAG chunks before LLM for 60-95% less tokens (4 points, 0 comments, by gmays, 2026-06-20)
• Show HN: Headroom (OSS): Cuts LLM costs by 85% (3 points, 5 comments, by chopratejas, 2026-01-18)
• Headroom – LLM Input Compression (3 points, 0 comments, by lgats, 2026-05-31)
• Headroom – context optimization layer for tool-using agents (2 points, 2 comments, by chopratejas, 2026-01-13)
• Headroom (2 points, 0 comments, by marc__1, 2026-06-17)
• TokenMinMaxing (2 points, 0 comments, by droppedasbaby, 2026-06-18)
• Show HN: Headroom – Reversible context compression for LLMs(~60% cost reduction) (1 points, 1 comments, by chopratejas, 2026-01-15)
• The Context Optimization Layer for LLM Applications (1 points, 0 comments, by selvan, 2026-03-04)