Infigraph

AST-powered code intelligence engine. Indexes codebases into a persistent knowledge graph with full Cypher queries, hybrid semantic search, cross-file call resolution, and 62 programming languages.

Built in Rust. Zero LLM dependency. Runs locally. No API keys. No network calls.

The Problem

AI agents are structurally blind to your codebase. When they need to answer “who calls this function?” or “what breaks if I change this class?”, they re-read files, retrace imports, and re-infer relationships — wasting time and tokens.

The Hidden Cost of Code Blindness in the Age of AI

The cost: 60–80% of AI agent tokens spent on code rediscovery instead of solving your problem.

The Solution

Infigraph builds a persistent knowledge graph before the agent runs. Structural questions that cost hundreds of tokens now resolve in milliseconds.

Source Code → Index → Knowledge Graph → AI Agent → Instant Answers

Result: 10–100x fewer tokens. 1ms instead of 5s file reads. Complete call graphs in milliseconds.

Why Infigraph (Unique in the Market)

No other tool combines all of this:

  • ✅ Local-first — Everything runs offline, no APIs
  • ✅ Persistent knowledge graph — Query once, reuse forever
  • ✅ 62 languages — Tree-sitter + grammar plugins
  • ✅ AI-native — Built for MCP agents (Claude Code, Cursor, etc.)
  • ✅ No LLM dependency — Pure code analysis

Cloud tools (GitHub Copilot, Sourcegraph) require sending code to external APIs. Local tools (ctags, LSP, CodeQL) don’t persist a knowledge graph. Infigraph is the first AI-native, local-first knowledge graph for code.

Read the full comparison →

Quick Start

macOS / Linux:

curl -fsSL https://raw.githubusercontent.com/intuit/infigraph/main/install.sh | bash
cd /path/to/project && infigraph index

Windows:

iwr https://raw.githubusercontent.com/intuit/infigraph/main/install.ps1 -UseBasicParsing | iex

Then ask your AI agent:

"Who calls the validate_user function?"
"Show me the blast radius of this change"
"Find authentication logic in this codebase"

Get Started →

Key Capabilities

🌐 62 Languages
Tree-sitter + ANTLR grammar plugins. Zero config.

🔍 Hybrid Search
BM25 + Model2Vec. Find “auth logic” even if function isn’t named auth.

🛢️ Graph Database
Full Cypher queries. WITH, OPTIONAL MATCH, variable-length paths.

⚡ Call Resolution
Import-aware cross-file linking. Knows what actually calls what.

🚀 69 MCP Tools
Claude Code, Cursor, VS Code, Copilot, Windsurf. All supported.

🔒 Offline First
Everything runs locally. No APIs. No network. No cloud.

Next Steps

Getting Started Guide → Architecture & Design → Contributing →

Quick Start 

# macOS / Linux
curl -fsSL https://raw.githubusercontent.com/intuit/infigraph/main/install.sh | bash

# Windows (PowerShell)
iwr https://raw.githubusercontent.com/intuit/infigraph/main/install.ps1 -UseBasicParsing | iex

Then ask your AI coding agent:

"search for authentication logic in this project"
"who calls the validate_user function?"
"show me the architecture of this codebase"
"find dead code"

Get Started →

Learn More

Built with ❤️ by Intuit