Codegraph FAQs

Question 1

How does Codegraph maintain an always-fresh code graph with sub-second rebuilds?

Accepted Answer

Codegraph uses a three-tier incremental change detection system: a change journal, mtime/size checks, and content hashing. This ensures only changed files are processed, leading to sub-second rebuilds even on large codebases without re-indexing everything.

Question 2

What is Codegraph and its primary purpose?

Accepted Answer

Codegraph is a developer tool that generates an always-fresh, function-level code dependency graph. It's designed for sub-second incremental rebuilds, providing local semantic search and impact analysis, particularly for AI agents.

Question 3

What programming languages does Codegraph support?

Accepted Answer

Codegraph supports dependency tracing across 11 programming languages, including JavaScript/TypeScript, Python, Go, Rust, Java, C#, PHP, Ruby, and HCL, consolidating them into a single comprehensive graph.

Question 4

Can Codegraph be used with AI agents?

Accepted Answer

Yes, Codegraph is built for AI agents, integrating a 17-tool Model Context Protocol (MCP) server. It allows AI assistants to access function-level context, semantic search capabilities, and perform impact analysis on your codebase.

Question 5

Does Codegraph require cloud APIs or external infrastructure for its core functions?

Accepted Answer

No, the core functionality of Codegraph (graph generation, local search) is entirely local, using Tree-sitter and SQLite. It's zero-cost by default, with LLM-powered features being an optional layer where you bring your own provider.

Codegraph

Codegraph

Key Features

Use Cases

Key Features

Use Cases