AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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The Codebase Intelligence layer for AI coding agents. Semantic indexing, graph navigation, and repository intelligence
翻譯準備中
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Codebase Intelligence layer for AI coding agents Trajectory Enrichment-Aware RAG · served over MCP · 100% local Your coding agent copies the first code it finds — not the right one. TeaRAGs is a Codebase Intelligence layer your agent queries over MCP. It indexes the repository on your machine and returns every piece of code with three views of it: • 🔍 What it does — semantic and hybrid search over AST-aware chunks • 🕸️ How it is connected — callers, callees, fan-in, transitive impact • 🧬 How it has lived — churn, bug-fix rate, ownership, age檢視完整 README ↗
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Codebase Intelligence layer for AI coding agents Trajectory Enrichment-Aware RAG · served over MCP · 100% local Your coding agent copies the first code it finds — not the right one. TeaRAGs is a Codebase Intelligence layer your agent queries over MCP. It indexes the repository on your machine and returns every piece of code with three views of it: • 🔍 What it does — semantic and hybrid search over AST-aware chunks • 🕸️ How it is connected — callers, callees, fan-in, transitive impact • 🧬 How it has lived — churn, bug-fix rate, ownership, age檢視完整 README ↗