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andysom25
by andysom25

CodeGraph

πŸŽ‰ 1.0 Released!

Already installed? Run codegraph upgrade to update in place.

Follow @getcodegraph on X for updates.

Supercharge Claude Code, Cursor, Codex, OpenCode, Hermes Agent, Gemini, Antigravity, and Kiro with Semantic Code Intelligence

Surgical context Β· fewer tool calls Β· faster answers Β· 100% local

Documentation & Website β†’

npm version License: MIT Self-contained

Windows macOS Linux

Claude Code Cursor Codex opencode Hermes Agent Gemini Antigravity Kiro

The CodeGraph platform is coming β€” for every PR, know exactly what to test, what could break, which flows are affected, and whether business logic is compromised.

Get early beta access to the hosted product Β· getcodegraph.com

Related MCP server: CodeGraph

Get Started

1. Install the CLI

No Node.js required β€” one command grabs the right build for your OS:

# macOS / Linux
curl -fsSL https://raw.githubusercontent.com/andysom25/codegraph/main/install.sh | sh

# Windows (PowerShell)
irm https://raw.githubusercontent.com/andysom25/codegraph/main/install.ps1 | iex
npm i -g @andysom25/codegraph

CodeGraph bundles its own runtime β€” nothing to compile, no native build, works the same everywhere. The installer puts codegraph on your PATH but doesn't change your current shell β€” open a new terminal before the next step so the command resolves.

Upgrade any time with codegraph upgrade β€” it detects how you installed (bundle, npm, or npx) and updates in place. Add --check to see if an update is available, or codegraph upgrade <version> to pin one.

2. Wire up your agent(s)

In a new terminal, run the installer to connect CodeGraph to the agents you use:

codegraph install

Detects and auto-configures Claude Code, Cursor, Codex CLI, opencode, Hermes Agent, Gemini CLI, Antigravity IDE, and Kiro β€” wiring the CodeGraph MCP server into each. This is the step that connects CodeGraph to your agent; installing the CLI in step 1 does not do it on its own. It only wires up your agent β€” it does not index any code; building each project's graph is the separate codegraph init in step 3. (Shortcut: npx @andysom25/codegraph downloads and runs this in one go.)

3. Initialize each project

cd your-project
codegraph init

codegraph init creates the local .codegraph/ directory and builds the full graph in the same step β€” one command, done.

1_C_VYnhpys0UHrOuOgpgoyw

4. No more syncing!

Auto-sync is enabled by default. CodeGraph watches the project and updates the graph on every file change β€” while your agent edits code, or you add, modify, or delete files. The index is never stale, and there is nothing to re-run.

Uninstall

Changed your mind? One command removes CodeGraph from every agent it configured:

codegraph uninstall

Reverses the installer β€” strips CodeGraph's MCP server config, instructions, and permissions from each configured agent. Your project indexes (.codegraph/) are left untouched; remove those per-project with codegraph uninit. Use --target to remove from specific agents, or --yes to run non-interactively.


Why CodeGraph?

When an AI agent needs to understand code β€” to answer a question or make a change β€” it discovers structure the slow way: grep, glob, and Read, one file at a time, rebuilding call paths and dependencies by hand. That's a pile of tool calls and round-trips before it even starts the real work.

CodeGraph hands the agent the exact code it needs in one call. It's a pre-built knowledge graph of every symbol, call edge, and dependency in your codebase β€” so instead of crawling files, the agent asks one question and gets back the relevant source, the call paths between those symbols (including dynamic-dispatch hops grep can't follow), and the blast radius of a change. Surgical context, not a file-by-file search β€” which means fewer tool calls and faster answers on every codebase, large or small.

A note on cost: CodeGraph's win on every codebase is precision and speed β€” fewer tool calls, faster answers. It cuts token and dollar cost too, but those savings are scale-dependent: small and noisy on a modest codebase, and material only once a repo is large and tangled β€” at the scale of a Google or Microsoft monorepo, multiplied by a whole team's daily agent usage β€” for them to compound into a real line item. On a 500-file project, adopt CodeGraph for the speed; the cost savings show up when the codebase (and the team) gets big.

Benchmark Results

Tested across 7 real-world open-source codebases spanning 7 languages, comparing an agent (Claude Code, headless) answering one architecture question with and without CodeGraph, at the median of 4 runs per arm. Re-validated on Opus 4.8 (2026-06-02), on the current build (codegraph_explore as the primary tool).

The universal win β€” every repo, every size: 58% fewer tool calls Β· 22% faster Β· file reads cut to ~zero.

The reliable, universal payoff is surgical context and speed: CodeGraph collapses the agent's grep/find/Read crawl into a few direct queries β€” returning the exact methods you asked about even when they're buried in a multi-thousand-line file β€” so it answers with near-zero file reads while the no-CodeGraph agent spends its budget on discovery. The Tokens and Cost columns are real too, but β€” as noted above β€” they're scale-dependent: small and noisy per query, compounding into real money only at large-codebase, high-volume scale.

Codebase

Language

Tool calls

Time

File reads

Tokens

Cost

VS Code

TypeScript Β· ~10k files

81% fewer

11% faster

0 vs 9

64% fewer

18% cheaper

Excalidraw

TypeScript Β· ~640

40% fewer

27% faster

0 vs 7

25% fewer

even

Django

Python Β· ~3k

77% fewer

13% faster

0 vs 9

60% fewer

8% cheaper

Tokio

Rust Β· ~790

57% fewer

18% faster

0 vs 8

38% fewer

even

OkHttp

Java Β· ~645

50% fewer

31% faster

0 vs 4

54% fewer

25% cheaper

Gin

Go Β· ~110

44% fewer

24% faster

1 vs 6

23% fewer

19% cheaper

Alamofire

Swift Β· ~110

58% fewer

33% faster

0 vs 9

64% fewer

40% cheaper

File reads = median files the agent opened with vs without CodeGraph β€” the surgical-context win in one column. Tokens and Cost are the same with-vs-without deltas; they're directional (they move run-to-run) and, per query, small in absolute terms β€” which is why they only become a line item at scale. codegraph_explore also collapses redundant interchangeable implementations to signatures, so a response is sized to the answer rather than the file count.

VS Code Β· ~10k files

Metric

WITH cg

WITHOUT cg

Ξ”

Time

1m 59s

2m 13s

11% faster

File Reads

0

9

βˆ’9

Grep/Bash

0

11

βˆ’11

Tool calls

4

21

81% fewer

Total tokens

640k

1.79M

64% fewer

Cost

$0.68

$0.83

18% cheaper

Excalidraw Β· ~640 files

Metric

WITH cg

WITHOUT cg

Ξ”

Time

1m 32s

2m 6s

27% faster

File Reads

0

7

βˆ’7

Grep/Bash

1

8

βˆ’7

Tool calls

9

15

40% fewer

Total tokens

1.27M

1.69M

25% fewer

Cost

$0.78

$0.78

even

Django Β· ~3k files

Metric

WITH cg

WITHOUT cg

Ξ”

Time

1m 43s

1m 58s

13% faster

File Reads

0

9

βˆ’9

Grep/Bash

0

5

βˆ’5

Tool calls

3

13

77% fewer

Total tokens

559k

1.41M

60% fewer

Cost

$0.57

$0.62

8% cheaper

Tokio Β· ~790 files

Metric

WITH cg

WITHOUT cg

Ξ”

Time

1m 55s

2m 20s

18% faster

File Reads

0

8

βˆ’8

Grep/Bash

0

6

βˆ’6

Tool calls

6

14

57% fewer

Total tokens

1.08M

1.73M

38% fewer

Cost

$0.82

$0.82

even

OkHttp Β· ~645 files

Metric

WITH cg

WITHOUT cg

Ξ”

Time

1m 1s

1m 29s

31% faster

File Reads

0

4

βˆ’4

Grep/Bash

2

6

βˆ’4

Tool calls

5

10

50% fewer

Total tokens

502k

1.10M

54% fewer

Cost

$0.41

$0.55

25% cheaper

Gin Β· ~110 files

Metric

WITH cg

WITHOUT cg

Ξ”

Time

1m 14s

1m 37s

24% faster

File Reads

1

6

βˆ’5

Grep/Bash

1

2

βˆ’1

Tool calls

5

9

44% fewer

Total tokens

651k

847k

23% fewer

Cost

$0.46

$0.57

19% cheaper

Alamofire Β· ~110 files

Metric

WITH cg

WITHOUT cg

Ξ”

Time

1m 35s

2m 21s

33% faster

File Reads

0

9

βˆ’9

Grep/Bash

0

4

βˆ’4

Tool calls

5

12

58% fewer

Total tokens

766k

2.10M

64% fewer

Cost

$0.57

$0.95

40% cheaper

Methodology. Each arm is claude -p (Claude Opus 4.8) run headlessly against the repo with --strict-mcp-config: WITH = CodeGraph's MCP server enabled, WITHOUT = an empty MCP config. Built-in Read/Grep/Bash stay available to both. Same question per repo, 4 runs per arm, median reported. Cost = the run's total_cost_usd; Tokens = total tokens processed (input incl. cached + output); Time = wall-clock; Tool calls = every tool invocation, including those inside any sub-agents the model spawns. Repos cloned at --depth 1 and indexed by the same CodeGraph build that served them. Re-validated 2026-06-02 on the current build. These numbers are lower than the prior Opus 4.7 validation β€” not a CodeGraph regression but a stronger native baseline: Opus 4.8 greps/reads efficiently on the main thread instead of fanning out into large Explore-subagent sweeps, so the no-CodeGraph arm is leaner than it used to be. Per-repo numbers move run-to-run with how hard the without-arm thrashes (the median-of-4 smooths it, but tails remain β€” e.g. Django's without-arm hit $2.71/14m one batch).

Queries:

Codebase

Query

VS Code

"How does the extension host communicate with the main process?"

Excalidraw

"How does Excalidraw render and update canvas elements?"

Django

"How does Django's ORM build and execute a query from a QuerySet?"

Tokio

"How does tokio schedule and run async tasks on its runtime?"

OkHttp

"How does OkHttp process a request through its interceptor chain?"

Gin

"How does gin route requests through its middleware chain?"

Alamofire

"How does Alamofire build, send, and validate a request?"

Why CodeGraph wins: with the index available, the agent answers directly β€” usually one codegraph_explore returns the relevant source β€” and stops, usually with zero file reads. Without it, the agent spends most of its budget on discovery (find/ls/grep) before reading the right code. CodeGraph only helps when queried directly, so its instructions steer agents to answer directly rather than delegate exploration to file-reading sub-agents β€” otherwise a sub-agent reads files regardless and CodeGraph becomes overhead.


Key Features

Surgical Context

One tool call returns entry points, related symbols, and code snippets β€” no slow file-by-file exploration

Full-Text Search

Find code by name instantly across your entire codebase, powered by FTS5

Impact Analysis

Trace callers, callees, and the full impact radius of any symbol before making changes

Always Fresh

File watcher uses native OS events (FSEvents/inotify/ReadDirectoryChangesW) with debounced auto-sync β€” the graph stays current as you code, zero config

20+ Languages

TypeScript, JavaScript, Python, Go, Rust, Java, C#, PHP, Ruby, C, C++, Objective-C, Swift, Kotlin, Scala, Dart, Lua, Luau, R, Svelte, Vue, Astro, Liquid, Pascal/Delphi

Framework-aware Routes

Recognizes web-framework routing files and links URL patterns to their handlers across 17 frameworks

Mixed iOS / React Native / Expo

Closes cross-language flows that static parsing misses: Swift ↔ ObjC bridging, React Native legacy bridge + TurboModules + Fabric view components, native β†’ JS event emitters, Expo Modules

100% Local

No data leaves your machine. No API keys. No external services. SQLite database only

When your agent (Claude Code, Cursor, Codex, opencode) launches codegraph serve --mcp, three layers keep the index in step with your code β€” and make sure the agent never gets a silent wrong answer in the brief window between an edit and the next sync:

  1. File watcher with debounced auto-sync. A native FSEvents / inotify / ReadDirectoryChangesW watcher captures every source-file create / modify / delete and triggers a re-index after a debounce window (default 2000ms, tunable via CODEGRAPH_WATCH_DEBOUNCE_MS, clamped to [100ms, 60s]). Bursts of edits collapse into a single sync.

  2. Per-file staleness banner. During the brief debounce window, MCP tool responses that would reference a still-pending file prepend a ⚠️ banner naming it and telling the agent to Read it directly. Pending files NOT referenced by the response surface as a small footer instead. Either way, the agent gets an explicit signal β€” validated with Claude Code, where the agent literally says "Reading the file directly for the live content" before opening it.

  3. Connect-time catch-up. When the MCP server (re)connects, codegraph runs a fast (size, mtime) + content-hash reconciliation against the working tree before answering the first query β€” so edits made while no MCP server was running (a git pull from the terminal, edits from another editor, a previous agent session that exited) get absorbed on the next session's first tool call.

agent writes src/Widget.ts
  β†’ watcher fires (<100ms)
  β†’ debounce (default 2s)
  β†’ sync; Widget.ts is in the index
  β†’ next agent query sees it

Verify any time with codegraph status (CLI). If anything is pending, you'll see a ### Pending sync: section naming the files and their edit age.

The handful of cases where manual codegraph sync makes sense: the watcher is disabled (sandboxed environments, or CODEGRAPH_NO_DAEMON=1), or you're scripting against the index outside an agent session and want a pre-flight sync at the start of your script.

β†’ Full deep-dive in Guides β†’ Indexing a Project.


Framework-aware Routes

CodeGraph detects web-framework routing files and emits route nodes linked by references edges to their handler classes or functions. Querying callers of a view/controller now surfaces the URL pattern that binds it.

Framework

Shapes recognized

Django

path(), re_path(), url(), include() in urls.py (CBV .as_view(), dotted paths)

Flask

@app.route('/path', methods=[...]), blueprint routes

FastAPI

@app.get(...), @router.post(...), all standard methods

Express

app.get(...), router.post(...) with middleware chains

NestJS

@Controller + @Get/@Post/..., GraphQL @Resolver + @Query/@Mutation, @MessagePattern/@EventPattern, @SubscribeMessage

Laravel

Route::get(), Route::resource(), Controller@action, tuple syntax

Drupal

*.routing.yml routes (_controller, _form, entity handlers); hook_* implementations in .module/.theme/.install/.inc

Rails

get '/x', to: 'users#index', hash-rocket => syntax

Spring

@GetMapping, @PostMapping, @RequestMapping on methods

Play

GET/POST/… verb routes in conf/routes β†’ Controller.method actions (Scala + Java)

Gin / chi / gorilla / mux

r.GET(...), router.HandleFunc(...)

Axum / actix / Rocket

.route("/x", get(handler))

ASP.NET

[HttpGet("/x")] attributes on action methods

Vapor

app.get("x", use: handler)

React Router / SvelteKit

Route component nodes

Vue Router / Nuxt

pages/ file-based routes, server/api/ endpoints, route middleware

Astro

src/pages/ file-based routes (.astro pages + .ts endpoints, [param]/[...rest] syntax)


Mixed iOS / React Native / Expo bridging

Real iOS and React Native codebases live across multiple languages β€” a Swift caller invokes an Objective-C selector that's been auto-bridged, a JS file calls into a native module via the React Native bridge, a JSX component delegates to a native view manager. Static tree-sitter extraction stops at each language boundary. CodeGraph bridges them so codegraph_explore connects the flow end-to-end across the gap β€” call paths and blast radius cross the boundary instead of stopping at it.

Boundary

JS / Swift side

Native side

How

Swift β†’ ObjC

Swift obj.foo(bar:)

ObjC selector -fooWithBar:

@objc auto-bridging rules (including init/property/protocol forms) + Cocoa preposition prefixes (With/For/By/In/On/At/…)

ObjC β†’ Swift

ObjC [obj fooWithBar:]

Swift @objc func foo(bar:)

Reverse-bridge name candidates; verifies @objc exposure from source

React Native legacy bridge

JS NativeModules.X.fn(...)

ObjC RCT_EXPORT_METHOD / RCT_REMAP_METHOD Β· Java/Kotlin @ReactMethod

Parses macro/annotation declarations to build a JS-name β†’ native-method map

React Native TurboModules

JS import M from './NativeM'; M.fn(...)

Native impl matching the Codegen spec

Treats the Native<X>.ts spec interface as ground truth

RN native β†’ JS events

JS new NativeEventEmitter(...).addListener('e', cb)

ObjC [self sendEventWithName:@"e" body:...] Β· Swift sendEvent(withName: "e", ...) Β· Java/Kotlin .emit("e", ...)

Synthesized cross-language event channel keyed by literal event name

Expo Modules

JS requireNativeModule('X').fn(...)

Swift / Kotlin Module { Name("X"); AsyncFunction("fn") { ... } }

Parses the Expo DSL literals; synthetic method nodes resolve via existing name-match

Fabric view components

JSX <MyView prop={v}/>

TS Codegen spec + native impl class

Spec β†’ component node; convention-based name+suffix lookup (View/ComponentView/Manager/ViewManager) bridges to native

Legacy Paper view managers

JSX <MyView prop={v}/>

ObjC RCT_EXPORT_VIEW_PROPERTY Β· Java/Kotlin @ReactProp

Same as Fabric β€” Paper-era declarations also produce component + property nodes

Validated on real codebases (small + medium + large for each bridge):

Bridge

Small

Medium

Large

Swift ↔ ObjC

Charts

realm-swift

Wikipedia-iOS

RN legacy bridge

AsyncStorage

react-native-svg

react-native-firebase

RN native β†’ JS events

RNGeolocation

β€”

react-native-firebase

Expo Modules

expo-haptics

expo-camera

expo SDK sweep (7 packages)

Fabric / Paper views

react-native-segmented-control

react-native-screens

react-native-skia

Each bridge emits edges tagged provenance:'heuristic' with metadata.synthesizedBy: set to a stable channel name (e.g. swift-objc-bridge, rn-event-channel, fabric-native-impl, expo-module-extract), so the agent can tell at a glance how a hop got into the graph.


Quick Start

1. Run the Installer

npx @andysom25/codegraph

The installer will:

  • Ask which agent(s) to configure β€” auto-detects installed ones from: Claude Code, Cursor, Codex CLI, opencode, Hermes Agent, Gemini CLI, Antigravity IDE, Kiro

  • Prompt to install codegraph on your PATH (so agents can launch the MCP server)

  • Ask whether configs apply to all your projects or just this one

  • Write each chosen agent's MCP server config, plus a small marker-fenced CodeGraph section in the agent's instructions file (CLAUDE.md / AGENTS.md / GEMINI.md) β€” that's how subagents and non-MCP agents learn the codegraph explore command, since the MCP server's own guidance only reaches the main agent. Removed cleanly by codegraph uninstall.

  • Set up auto-allow permissions when Claude Code is one of the targets

The installer wires up your agents only β€” it does not index your code. After it finishes, build each project's graph yourself with codegraph init (step 3). One global codegraph install covers every project; you run codegraph init once per project.

Non-interactive (scripting / CI):

codegraph install --yes                              # auto-detect agents, install global
codegraph install --target=cursor,claude --yes       # explicit target list
codegraph install --target=auto --location=local     # detected agents, project-local
codegraph install --print-config codex               # print snippet, no file writes

Flag

Values

Default

--target

auto, all, none, or csv (claude,cursor,...)

prompt

--location

global, local

prompt

--yes

(boolean)

prompt every step

--no-permissions

(boolean) skip Claude auto-allow list

permissions on

--print-config <id>

dump snippet for one agent and exit

β€”

2. Restart Your Agent

Restart your agent (Claude Code / Cursor / Codex CLI / opencode / Hermes Agent / Gemini CLI / Antigravity IDE / Kiro) for the MCP server to load.

3. Initialize Projects

cd your-project
codegraph init

Builds the per-project knowledge graph index, which then auto-syncs on every file change. A single global codegraph install works in every project you open β€” no need to re-run the installer per project.

That's it β€” your agent will use CodeGraph tools automatically when a .codegraph/ directory exists.

Install globally:

npm install -g @andysom25/codegraph

Add to ~/.claude.json:

{
  "mcpServers": {
    "codegraph": {
      "type": "stdio",
      "command": "codegraph",
      "args": ["serve", "--mcp"]
    }
  }
}

Add to ~/.claude/settings.json (optional, for auto-allow):

{
  "permissions": {
    "allow": [
      "mcp__codegraph__*"
    ]
  }
}

One wildcard auto-approves every CodeGraph tool β€” codegraph_explore is the only one listed by default, but if you re-enable others via CODEGRAPH_MCP_TOOLS they're already permitted, no prompt.

CodeGraph's MCP server delivers its usage guidance to your agent automatically, in the MCP initialize response. In short, it tells the agent to:

  • Answer structural questions directly with CodeGraph β€” it is the pre-built index, so a grep/read loop just repeats work it already did. Treat the returned source as already read.

  • Reach for codegraph_explore for almost anything β€” "how does X work", a flow/"how does X reach Y", or surveying an area. One call returns the relevant symbols' verbatim source grouped by file, the call paths between them (dynamic-dispatch hops included), and a blast-radius summary. Name a file or symbol in the query to read its current line-numbered source.

  • Trust the results β€” don't re-verify with grep, and check the staleness banner after edits.

  • Works per project: query any project that has a .codegraph/ index by passing projectPath β€” so a monorepo where only some services are indexed, or a second repo, works in one session. A path with no index returns clean guidance to use built-in tools; indexing stays your decision.

The exact text is src/mcp/server-instructions.ts β€” the single source of truth for the main agent. Because subagents and non-MCP harnesses never see the MCP guidance, the installer also writes a short marker-fenced section into the agent's instructions file pointing at the codegraph explore CLI equivalent.


How It Works

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                            Claude Code                            β”‚
β”‚                                                                   β”‚
β”‚   "How does a request reach the database?"                        β”‚
β”‚       calls CodeGraph tools directly β€” no Explore sub-agent       β”‚
β”‚                                 β”‚                                 β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                                  β”‚
                                  β–Ό
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                        CodeGraph MCP Server                       β”‚
β”‚                                                                   β”‚
β”‚ explore  Β·  one call β†’ verbatim source + call flow + blast radius β”‚
β”‚                                 β”‚                                 β”‚
β”‚                                 β–Ό                                 β”‚
β”‚                       SQLite knowledge graph                      β”‚
β”‚          symbols Β· edges Β· files Β· FTS5 full-text search          β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
  1. Extraction β€” tree-sitter parses source code into ASTs. Language-specific queries extract nodes (functions, classes, methods) and edges (calls, imports, extends, implements).

  2. Storage β€” Everything goes into a local SQLite database (.codegraph/codegraph.db) with FTS5 full-text search.

  3. Resolution β€” After extraction, references are resolved: function calls β†’ definitions, imports β†’ source files, class inheritance, and framework-specific patterns.

  4. Auto-Sync β€” The MCP server watches your project using native OS file events. Changes are debounced (2-second quiet window), filtered to source files only, and incrementally synced. The graph stays fresh as you code β€” no configuration needed.


CLI Reference

codegraph                         # Run interactive installer
codegraph install                 # Run installer (explicit)
codegraph uninstall               # Remove CodeGraph from your agents (inverse of install)
codegraph init [path]             # Initialize a project + build its graph (one step)
codegraph uninit [path]           # Remove CodeGraph from a project (--force to skip prompt)
codegraph index [path]            # Full index (--force to re-index, --quiet for less output)
codegraph sync [path]             # Incremental update
codegraph status [path]           # Show statistics
codegraph unlock [path]           # Remove a stale lock file that's blocking indexing
codegraph query <search>          # Search symbols (--kind, --limit, --json)
codegraph explore <query>         # Relevant symbols' source + call paths in one shot (same output as the codegraph_explore MCP tool)
codegraph node <symbol|file>      # One symbol's source + callers, or read a file with line numbers (same output as codegraph_node)
codegraph files [path]            # Show file structure (--format, --filter, --max-depth, --json)
codegraph callers <symbol>        # Find what calls a function/method (--limit, --json)
codegraph callees <symbol>        # Find what a function/method calls (--limit, --json)
codegraph impact <symbol>         # Analyze what code is affected by changing a symbol (--depth, --json)
codegraph affected [files...]     # Find test files affected by changes (see below)
codegraph daemon                  # Manage background daemons β€” pick one to stop (alias: daemons)
codegraph telemetry [on|off]      # Show or change anonymous usage telemetry
codegraph upgrade [version]       # Update to the latest release (--check, --force)
codegraph version                 # Print the installed version (also -v, --version)
codegraph help [command]          # Show help, optionally for one command

codegraph affected

Traces import dependencies transitively to find which test files are affected by changed source files.

codegraph affected src/utils.ts src/api.ts         # Pass files as arguments
git diff --name-only | codegraph affected --stdin   # Pipe from git diff
codegraph affected src/auth.ts --filter "e2e/*"     # Custom test file pattern

Option

Description

Default

--stdin

Read file list from stdin

false

-d, --depth <n>

Max dependency traversal depth

5

-f, --filter <glob>

Custom glob to identify test files

auto-detect

-j, --json

Output as JSON

false

-q, --quiet

Output file paths only

false

CI/hook example:

#!/usr/bin/env bash
AFFECTED=$(git diff --name-only HEAD | codegraph affected --stdin --quiet)
if [ -n "$AFFECTED" ]; then
  npx vitest run $AFFECTED
fi

MCP Tools

When running as an MCP server, CodeGraph exposes a single tool β€” codegraph_explore. Measured agent behavior showed that one strong tool steers agents better than a menu of narrower ones β€” fewer mis-picks, and it saves context every session:

Tool

Purpose

codegraph_explore

Answer almost any question in one call — "how does X work", a flow ("how does X reach Y"), or surveying an area — returning the relevant symbols' verbatim source grouped by file, plus the call paths between them and a blast-radius summary. Surfaces dynamic-dispatch hops (callbacks, React re-render, interface→impl) grep can't follow. Name a file or symbol in the query to read its current line-numbered source, the same shape the Read tool gives you.

The other tools (codegraph_node, codegraph_search, codegraph_callers, codegraph_callees, codegraph_impact, codegraph_files, codegraph_status) stay fully functional but unlisted by default β€” everything they return already arrives inline on codegraph_explore (its blast-radius section, the relationship map, a symbol's body as its callee list). Re-enable any of them for the MCP surface with the CODEGRAPH_MCP_TOOLS environment variable (e.g. CODEGRAPH_MCP_TOOLS=explore,node,search,callers), or use their CLI equivalents (codegraph node / query / callers / callees / impact / files / status).

Even when the server's own root has no .codegraph/ index, the tools stay available: pass projectPath to query any indexed project β€” a sub-service in a monorepo, or a second repo β€” in the same session. A path that has no index returns clean guidance to use built-in tools instead, so nothing fails loudly, and indexing stays your decision.


Library Usage

CodeGraph can be embedded directly. The npm package re-exports its programmatic API, so both import and require resolve the CodeGraph class in your own process β€” handy for embedding it in an app (e.g. an Electron main process).

import CodeGraph from '@andysom25/codegraph';
// CommonJS works too:
//   const { CodeGraph } = require('@andysom25/codegraph');

const cg = await CodeGraph.init('/path/to/project');
// Or: const cg = await CodeGraph.open('/path/to/project');

await cg.indexAll({
  onProgress: (p) => console.log(`${p.phase}: ${p.current}/${p.total}`)
});

const results = cg.searchNodes('UserService');
const callers = cg.getCallers(results[0].node.id);
const context = await cg.buildContext('fix login bug', { maxNodes: 20, includeCode: true, format: 'markdown' });
const impact = cg.getImpactRadius(results[0].node.id, 2);

cg.watch();   // auto-sync on file changes
cg.unwatch(); // stop watching
cg.close();

Lower-level building blocks are exported from the same entry point for callers that drive the graph directly: DatabaseConnection, QueryBuilder, getDatabasePath, initGrammars / loadGrammarsForLanguages, and FileLock.

Embedding requirements

  • Install from npm (npm i @andysom25/codegraph) so the matching per-platform package β€” which carries the compiled library and its dependencies β€” is fetched alongside the shim.

  • The API runs on your runtime, so it needs Node 22.5+ for the built-in node:sqlite (Electron qualifies when its bundled Node is 22.5+). The CLI and MCP server are unaffected β€” they run on the self-contained bundled runtime.

  • TypeScript types ship with the package. As with any Node-targeting library, keep @types/node available and skipLibCheck: true (the common default).


Configuration

Next to none β€” CodeGraph is zero-config by default, with nothing to write or keep in sync to get started. Language support is automatic from the file extension; there's nothing to wire up per language. The one optional file is for mapping custom file extensions.

What it skips out of the box:

  • Dependency, build, and cache directories β€” node_modules, vendor, dist, build, target, .venv, Pods, .next, and the like across every supported stack β€” so the graph is your code, not third-party noise. This holds even with no .gitignore.

  • Anything in your .gitignore β€” honored in git repos via git, and in non-git projects by reading .gitignore directly (root and nested).

  • Files larger than 1 MB β€” generated bundles, minified JS, vendored blobs.

To keep something else out, add it to .gitignore. To pull a default-excluded directory back in (say you really do want a vendored dependency indexed), add a negation β€” !vendor/. The defaults apply uniformly, so committing a dependency or build directory doesn't force it into the graph; the .gitignore negation is the explicit opt-in.

.gitignore can't drop a directory you've committed, though. For a vendored theme or SDK that's checked into the repo (e.g. a Metronic theme under static/), list it under exclude in codegraph.json β€” gitignore-style patterns, matched against repo-root-relative paths, honored on index, sync, and watch:

{
  "exclude": ["static/", "**/vendor/**"]
}

Custom file extensions

If your project uses a non-standard extension for a supported language β€” say .dota_lua for Lua, or .tpl for PHP β€” those files are skipped by default, because the extension isn't one CodeGraph recognizes. Map them with an optional codegraph.json at your project root:

{
  "extensions": {
    ".dota_lua": "lua",
    ".tpl": "php"
  }
}

Each value is a supported language id. The mappings merge on top of the built-in defaults and win on conflict, so you can also re-point a built-in (e.g. ".h": "cpp"). Commit the file to share the mapping with your team. A typo'd language or a malformed file is warned about and skipped β€” it never breaks indexing β€” and a project with no codegraph.json behaves exactly as before. Re-index (codegraph index) after adding or changing mappings.

Telemetry

CodeGraph collects anonymous usage statistics β€” which tools and commands get used, which languages get indexed β€” to guide where language and agent support work goes. Never any code, paths, file or symbol names, queries, or IP addresses; usage is aggregated locally into daily totals before anything is sent, and the ingest endpoint is public code in this repo that enforces the documented field list. The installer asks up front; turn it off any time:

codegraph telemetry off    # or: CODEGRAPH_TELEMETRY=0, or DO_NOT_TRACK=1

TELEMETRY.md lists every field, with the off-switches and the full data-handling story.

Supported Platforms

Every release ships a self-contained build (bundled Node runtime β€” nothing to compile) for all three desktop OSes, on both Intel/AMD (x64) and ARM (arm64):

Platform

Architectures

Install

Windows

x64, arm64

PowerShell installer or npm

macOS

x64, arm64

shell installer or npm

Linux

x64, arm64

shell installer or npm

See Get Started for the one-line install commands.

Supported Agents

The interactive installer auto-detects and configures each of these β€” wiring up the MCP server (which delivers its own usage guidance, so no instructions file is written):

  • Claude Code

  • Cursor

  • Codex CLI

  • opencode

  • Hermes Agent

  • Gemini CLI

  • Antigravity IDE

  • Kiro

Supported Languages

Language

Extension

Status

TypeScript

.ts, .tsx

Full support

JavaScript

.js, .jsx, .mjs

Full support

Python

.py

Full support

Go

.go

Full support

Rust

.rs

Full support

Java

.java

Full support

C#

.cs

Full support

PHP

.php

Full support

Ruby

.rb

Full support

C

.c, .h

Full support

C++

.cpp, .hpp, .cc

Full support

Objective-C

.m, .mm, .h

Partial support (classes, protocols, methods, @property, #import, message sends; .mm ObjC++ may parse incompletely)

Swift

.swift

Full support

Kotlin

.kt, .kts

Full support

Scala

.scala, .sc

Full support (classes, traits, methods, type aliases, Scala 3 enums)

Dart

.dart

Full support

Svelte

.svelte

Full support (script extraction, Svelte 5 runes, SvelteKit routes)

Vue

.vue

Full support (script + script-setup extraction, Nuxt page/API/middleware routes)

Astro

.astro

Full support (frontmatter + script extraction, template component/call references, src/pages/ routes)

Liquid

.liquid

Full support

Pascal / Delphi

.pas, .dpr, .dpk, .lpr

Full support (classes, records, interfaces, enums, DFM/FMX form files)

Lua

.lua

Full support (functions, methods with receivers, local variables, require imports, call edges)

R

.R .r

Full support (functions in every assignment form, S4/R5/R6 classes with methods, library/require imports, source() file references, call edges)

Luau

.luau

Full support (everything in Lua, plus type/export type aliases, typed signatures, and Roblox instance-path require)

Measured cross-file coverage

Impact and blast-radius queries are only as good as the dependency graph behind them, so coverage is measured rather than asserted. Fair coverage = the share of symbol-bearing source files that have at least one resolved cross-file dependent β€” something that imports, calls, references, or (through a framework convention) routes to them β€” on a real-world benchmark repo per language. The residual is always a genuine static-analysis frontier (runtime dynamic dispatch, reflection / DI containers, framework-convention entry points, vendored third-party code), never hidden by gaming the denominator.

Language

Benchmark repo

Coverage

TypeScript / JavaScript

this repo

95.8%

Python

psf/requests

100%

Go

gin-gonic/gin

96.6%

Rust

BurntSushi/ripgrep

86.7%

Java

google/gson

93.3%

C#

jbogard/MediatR

85.2%

PHP

guzzle/guzzle

100%

Ruby

sidekiq/sidekiq

100%

C

redis/redis

92.2%

C++

google/leveldb

94.8%

Objective-C

SDWebImage

91.6%

Swift

Alamofire

95.3%

Kotlin

square/okhttp

96.2%

Scala

gatling/gatling

91.2%

Dart

flutter/packages

92.4%

Svelte / SvelteKit

sveltejs/realworld

100%

Vue / Nuxt

nuxt/movies

93.5%

Astro

xingwangzhe/stalux

93.0%

Lua

nvim-telescope/telescope.nvim

84.2%

Luau

dphfox/Fusion

92.2%

Liquid

Shopify/dawn

73.8%

Pascal / Delphi

PascalCoin

77.4%

Framework routing is validated the same way, on a canonical app per framework: Express 100%, FastAPI 98%, Flask 100%, NestJS 96.8%, Gin 96.5%, Axum 100%, Rocket 93.8%, Vapor 100%, Laravel 92%, Rails 89.6%, React Router 100% β€” and the convention/reflection-heavy ones at their honest static-analysis ceiling: ASP.NET 83.9%, Spring 83.3%, Drupal 78.9%, Play 76.3%, Django 74.1%. SvelteKit, Vue/Nuxt, and Astro use file-based routing, so their page/endpoint coverage is the Svelte/SvelteKit (100%), Vue/Nuxt (93.5%), and Astro (93.0% β€” every src/pages/ file maps to a route node on the two validation repos) figures in the table above.

Troubleshooting

"CodeGraph not initialized" β€” Run codegraph init in your project directory first.

Indexing is slow β€” Check that node_modules and other large directories are excluded. Use --quiet to reduce output overhead.

MCP hits database is locked β€” current builds shouldn't: CodeGraph bundles its own Node runtime and uses Node's built-in node:sqlite in WAL mode, where concurrent reads never block on a writer. If you still see it:

  • You're on an old (pre-0.9) install. Reinstall to get the bundled runtime β€” curl -fsSL https://raw.githubusercontent.com/andysom25/codegraph/main/install.sh | sh (macOS/Linux), irm https://raw.githubusercontent.com/andysom25/codegraph/main/install.ps1 | iex (Windows), or npm i -g @andysom25/codegraph@latest.

  • codegraph status shows Journal: other than wal β€” WAL couldn't be enabled on this filesystem (common on network shares and WSL2 /mnt), so reads can block on writes. Move the project (with its .codegraph/ folder) onto a local disk.

MCP server not connecting β€” Your agent starts the server itself, so you don't launch it by hand. Make sure the project is initialized and indexed (codegraph status) and that the path in your MCP config is correct. If it still won't connect, re-run codegraph install to rewrite the config.

MCP tool calls fail with Transport closed while codegraph status/sync are healthy β€” almost always WSL2 with the project on a Windows drive (a /mnt/c or /mnt/d path), where the local socket CodeGraph uses to share one background server across sessions is unreliable. CodeGraph now falls back to serving the session in-process instead of dropping the connection, but if you still hit it, set CODEGRAPH_NO_DAEMON=1 in your MCP server's environment to skip the shared server entirely (each session runs in its own process). Moving the project onto the Linux-native filesystem (e.g. under ~/ instead of /mnt/) restores the shared server.

Missing symbols β€” The MCP server auto-syncs on save (wait a couple seconds). Run codegraph sync manually if needed. Check that the file's language is supported and isn't inside a .gitignored or default-excluded directory (e.g. node_modules, dist).

Sharing one checkout between Windows and WSL β€” Don't point both at the same .codegraph/: the background-server lock and the SQLite index are tied to the OS that wrote them, and SQLite locking across the WSL2/Windows filesystem boundary is unreliable. Give each side its own index in the same tree by setting CODEGRAPH_DIR to a distinct name on one of them β€” e.g. CODEGRAPH_DIR=.codegraph-win on Windows, leaving WSL on the default .codegraph. CodeGraph skips any sibling .codegraph-* directory when indexing and watching, so the two never trip over each other.

Star History

License

MIT


Made for AI coding agents β€” Claude Code, Cursor, Codex CLI, opencode, Hermes Agent, Gemini CLI, Antigravity IDE, and Kiro

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