AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻译准备中
Verified knowledge for AI agents. Compress context, extract and store facts, define rules, and ask questions — get deterministic answers with proof, not LLM guesses. Connect agents via MCP, Python SDK, TypeSc
翻译准备中
取自仓库 README
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The context engineering engine for AI agents: send only what changed. Measured on live APIs. 15-turn product support conversation. Real usage.input_tokens counts. Run it yourself. Claude Opus 4: 5.7× reduction. Gemini 2.0 Flash: 10.0×. Full calculations. • Reproducible token reduction — benchmark in the repo, methodology published, r [README 설치·사용 부분 발췌] Quick Start查看完整 README ↗
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The context engineering engine for AI agents: send only what changed. Measured on live APIs. 15-turn product support conversation. Real usage.input_tokens counts. Run it yourself. Claude Opus 4: 5.7× reduction. Gemini 2.0 Flash: 10.0×. Full calculations. • Reproducible token reduction — benchmark in the repo, methodology published, r [README 설치·사용 부분 발췌] Quick Start查看完整 README ↗