chopratejas/headroom
The Context Optimization Layer for LLM Applications
This helps developers who are building or using AI agents by drastically reducing the amount of data their AI reads, making interactions faster and cheaper. It takes large inputs like database results, code, logs, or search results and condenses them before they reach the AI model, producing the same accurate answers with fewer tokens. Developers building AI applications, coding assistants, or data analysis agents are the primary users.
724 stars. Actively maintained with 344 commits in the last 30 days.
Use this if your AI agents or applications process a lot of information from tools, databases, RAG systems, or files, and you want to reduce costs and improve efficiency without sacrificing accuracy.
Not ideal if your AI application only handles very short, simple prompts or if you are not concerned with token usage or processing speed.
Stars
724
Forks
72
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
344
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