Ai Context Kit is an open-source toolkit focused on managing, optimizing, and auditing context files used by AI agents, such as those in LLM-powered coding environments. It enables developers to measure token usage, detect conflicts and duplication, enforce budget constraints, and select only task-relevant rules for injection into agents. Ideal for engineering teams maintaining multiple context files across tools like Cursor, Claude, Copilot, and custom AI agents, it improves performance, reduces inference costs, and prevents context bloat.
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