CodeGraph

Your codebase, understood.

CodeGraph transforms your entire codebase into a semantically searchable knowledge graph that AI agents can actually reason about—not just grep through.

Ready to get started? Jump to the Installation Guide for step-by-step setup instructions.

Already set up? See the Usage Guide for tips on getting the most out of CodeGraph with your AI assistant.

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The Problem

AI coding assistants are powerful, but they're flying blind. They see files one at a time, grep for patterns, and burn tokens trying to understand your architecture. Every conversation starts from zero.

What if your AI assistant already knew your codebase?

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What CodeGraph Does Differently

1. Graph + Embeddings = True Understanding

Most semantic search tools create embeddings and call it a day. CodeGraph builds a real knowledge graph:

Your Code → Build Context → AST + FastML → LSP Resolution → Enrichment → Graph + Embeddings
              ↓               ↓              ↓              ↓              ↓         ↓
          Packages        Nodes/edges    Type-aware     API surface      Graph    Semantic
          Features        Fast patterns  linking        Module graph   traversal   search
          Targets         Spans          Definitions    Dataflow/Docs             (hybrid)

When you search, you don't just get "similar code"—you get code with its relationships intact. The function that matches your query, plus what calls it, what it depends on, and where it fits in the architecture.