# AxiomCode Graph

> Builds a formally grounded code graph of a repository so AI coding agents can trace callers, change impact, and affected tests.

AxiomCode Graph is a code-graph engine from AxiomCode Inc. that parses a repository and builds a knowledge graph of who calls what. AI coding agents and engineers query that graph through a CLI, an MCP server, and agent plugins instead of grepping. The engine is distributed on npm as `@axiomcode/code-graph`, and the source is published under the Functional Source License 1.1 with an Apache 2.0 future license.

## What It Is

AxiomCode Graph resolves each call from the receiver's declared and inferred type, the way a compiler does, rather than matching names from syntax. The resulting graph is stored per language in SQLite, with tiers such as known edge, multi-inferred, library boundary, and ambiguous unknown. Unresolved calls stay explicit instead of being presented as established relationships. Java, TypeScript and Python are listed as stable, while JavaScript, C#, HTML and CSS are listed as beta.

## Questions it answers

The CLI and MCP tools answer questions about a change, each as numbered places with source code and a verification line that re-checks every printed edge.

- `impact` shows callers, what a change reaches, and exercising tests.
- `path` shows the call chain from one symbol to another.
- `tests` selects the tests that uncommitted edits can reach.
- `context` explains how a task or feature works.
- `link` records where an unresolved call lands.
- `graph` renders the codebase as an interactive page.

## Agent setup

Install the engine with npm (Node 22.13 or later and Python 3 required), then add the plugin for your agent. Plugins are documented for Claude Code, Codex CLI, Copilot CLI, Gemini CLI, Cursor, Windsurf and Devin CLI, and any MCP client can use a single config entry. Hooks that keep the graph current run in Claude Code, Codex, Cursor and Gemini CLI. The graph rebuilds in the background after edits.

## Benchmarks (vendor-reported)

AxiomCode reports that on 748 held-out Defects4J bugs its selected tests included every bug-revealing test for 94.9% of bugs. It also reports higher call-resolution accuracy than other tree-sitter-based graph tools on Java and TypeScript, and up to 50% fewer tool calls when exploring a new codebase. These figures come from the vendor's own benchmarks.

## Features
- Type-aware call graph built with formal methods
- Change impact analysis (impact command)
- Call path tracing between symbols
- Test selection from uncommitted edits
- Task context narratives with optional source
- Manual link recording for unresolved calls
- Interactive graph page
- MCP server with five tools
- Background graph refresh after edits
- Per-language SQLite graph output with confidence tiers
- Support for Java, TypeScript, Python, JavaScript, C#, HTML and CSS

## Integrations
Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Devin CLI, VS Code, MCP clients, Antigravity, OpenCode, Cline, Amp

## Platforms
WINDOWS, MACOS, LINUX, IOS, API, VSC_EXTENSION, CLI

## Pricing
Paid

## Version
v0.2.3

## Links
- Website: https://www.axiomcode.ai
- Documentation: https://github.com/AxiomCodeAI/axiomcodegraph#readme
- Repository: https://github.com/AxiomCodeAI/axiomcodegraph
- EveryDev.ai: https://www.everydev.ai/tools/axiomcode-graph