Akon Labs
GitNexus Background
Introducing GitNexus

Building the nervous system for agent context

Indexes any codebase into a knowledge graph. Every dependency, call chain, cluster, and execution flow. Then exposes it through smart tools so AI agents never miss code.

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The Problem With AI Coding Today

Tools like Cursor, Claude Code, and Windsurf are powerful, but they don't truly know your codebase structure. They edit code without knowing what depends on it.

Functions
Imports
Call Chains
GitNexus
Claude Code
Cursor
Windsurf

GitNexus indexes your codebase into a knowledge graph and serves it to any AI editor via MCP

Without GitNexus

AI agents work blind

AI edits UserService.validate() without knowing 47 functions depend on its return type

Grep-based search misses implicit call chains and cross-file dependencies

Each query requires 4+ LLM round-trips to explore enough of the graph

47

functions break from one blind edit

With GitNexus

AI agents see everything

Full blast radius known before any edit. Every caller, importer, and dependent process

Precomputed knowledge graph maps every dependency, call chain, cluster, and execution flow

One tool call returns complete, structured context. No multi-query chains needed

100%

blast radius known before any edit

Precomputed Relational Intelligence

Why GitNexus is different from traditional Graph RAG

Reliability

LLM can't miss context. It's already precomputed in the tool response. No exploration needed.

Token Efficiency

No 10-query chains to understand one function. One tool call returns structured, complete context.

Model Democratization

Smaller LLMs work because the tools do the heavy lifting. Even small models get full architectural clarity.

Key Features

Everything you need to give your AI coding assistant full codebase awareness.

Knowledge Graph

Maps every function, class, import, and call chain. AI agents understand the full codebase, not just open files.

$gitnexus context --name UserService
├ incoming: 8 callers, 3 clusters
├ outgoing: 4 calls, 2 imports
└ processes: LoginFlow, RegistrationFlow

Impact Analysis

Shows blast radius of any change before it's made. Fewer regressions, safer refactors.

Hybrid Search

BM25 + semantic search combined. Faster, more accurate code discovery.

Multi-Repo Support

Index and serve multiple codebases at once. Works for large engineering orgs with many repos.

100% Local / Private

No code sent to any server. Enterprise-safe, no data leakage.

Wiki Generation

LLM-powered docs auto-generated from the graph. Always up-to-date architecture documentation.

Git-Diff Impact

Maps changed lines to affected processes. Pre-commit risk assessment.

Web UI

Browser-based, 100% client-side graph explorer and AI chat. No install needed for stakeholders.

6-Step Pipeline

How It Works

From source code to queryable knowledge graph in 6 steps.

1

Structure

File Tree Walk

2

Parsing

Tree-sitter ASTs

3

Resolution

Imports & Call Chains

4

Clustering

Functional Communities

5

Processes

Execution Flow Tracing

6

Search

BM25 + Semantic Embeddings

KuzuDB

Knowledge Graph stored locally

MCP Server

AI Agents query it

CLI

Developers query it

Web UI

Browser-based viewer

Background
7 MCP Tools

What AI Agents Get

Powerful tools that give your AI assistant deep codebase understanding.

query

Search your entire codebase with full architectural context

context

Get a 360-degree view of any symbol. Who calls it, what it calls, which flows it belongs to

impact

See the full blast radius before changing anything. Every affected function, file, and process

detect_changes

Understand how your recent git changes ripple through the codebase

rename

Safely rename symbols across multiple files with full dependency awareness

list_repos

Discover all indexed repositories available to your AI agent

cypher

Run raw graph queries for advanced exploration and custom analysis

Supported Editors

Works with your favorite AI-powered code editors.

Claude Code

Full

Deepest integration. PreToolUse hooks enrich searches with graph context automatically

MCP
Skills
Hooks

Cursor

MCP + Skills

Full MCP tools and agent skills for deep codebase queries

MCP
Skills

Windsurf

MCP

All 7 MCP tools available for codebase intelligence

MCP

OpenCode

MCP + Skills

MCP tools plus agent skills for guided workflows

MCP
Skills

13 Languages Supported

Full parsing and analysis support for the most popular programming languages.

TypeScript
JavaScript
Python
Java
Kotlin
C#
Go
Rust
PHP
Ruby
Swift
C
C++

Ready to give your AI agent full codebase awareness?

One command. That's it. No infrastructure, no cloud, no data leakage.

$npx gitnexus analyze
$npx gitnexus setup
Done. Your AI agent now has full codebase awareness
Get Started

Free for non-commercial use • Commercial licensing available