context-hygiene is an open-source Python package designed to analyze and maintain the hygiene of context windows in LLM-based conversations. It helps developers identify redundant or irrelevant content, optimize token usage, and improve the quality of interactions with large language models. Primarily used in AI development workflows to build more efficient and cost-effective conversational applications.
context-hygiene is an AI & ML product. It focuses on managing and cleaning large context windows in LLM conversations to reduce token usage and improve performance. It is built as an open-source project for developers. context-hygiene is open source under the BSL-1.1 license. It runs on the command line.
It is developed by AreteDriver, and the product first shipped in 2026. Development happens publicly on GitHub with 11 commits in the last 90 days. Key capabilities include Context Analysis, LLM Optimization, and Conversation Hygiene.
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