entroly
A context engineering engine that compresses your entire codebase for AI coding agents, reducing token usage by 70-95% while providing full code visibility.
What is entroly?
Entroly is a context engineering engine that solves the 'AI blindness' problem in coding assistants by compressing your entire codebase into the AI's context window. It uses mathematical optimization to select the most relevant code fragments at variable resolutions, reducing token usage by 70-95% while ensuring the AI has full dependency awareness to prevent hallucinations.
Developers using AI-powered coding tools like Cursor, Claude Code, GitHub Copilot, Windsurf, or Cody who want to improve accuracy and reduce costs by giving their AI complete codebase context.
Developers choose Entroly because it provides a zero-configuration solution that dramatically reduces AI hallucination and token costs, runs entirely locally for privacy, and uses a performant Rust engine for near-instant optimization without requiring complex embeddings or prompt engineering.
Overview
Open-source context engine that catches AI hallucinations and cuts your token bill 70–95%. The only AI helper that shows its work. Claude · Cursor · Copilot · Codex,GPT & Custom Providers
Use Cases
Best For
- Reducing token costs when using AI coding assistants on large codebases
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