ratel-ai/ratel

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.

Rust483 stars28 forksMIT

accuracy agents claude-skills context harness llm llm-routing mcp mcp-server memory optimization rag skills token-optimization tool-calling tool-selection

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ratel-ai/ratel has 483 GitHub stars.

It currently ranks #36966 daily, #37171 weekly, #38260 monthly by momentum on Trending Repos; its best-ever rank is #155.

Trending Repos first recorded it on Jul 5, 2026.

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