https://github.com/zgsm-ai/codebase-indexer

Codebase Indexing for AI programming assistant.: call graph search, multi-language support.
https://github.com/zgsm-ai/codebase-indexer

codebase-indexing

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Codebase Indexing for AI programming assistant.: call graph search, multi-language support.

• Host: GitHub
• URL: https://github.com/zgsm-ai/codebase-indexer
• Owner: zgsm-ai
• License: apache-2.0
• Created: 2025-05-26T02:07:38.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2026-03-05T11:10:55.000Z (about 1 month ago)
• Last Synced: 2026-03-05T15:28:02.591Z (about 1 month ago)
• Topics: codebase-indexing
• Language: Go
• Homepage:
• Size: 16.9 MB
• Stars: 11
• Watchers: 1
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# codebase-indexer



[English](./README.md) | [简体中文](./README_zh.md)

A powerful code indexing context retrieval service for AI programming assistants.

[![Go Report Card](https://goreportcard.com/badge/github.com/zgsm-ai/codebase-indexer)](https://goreportcard.com/report/github.com/zgsm-ai/codebase-indexer)

[![Go Reference](https://pkg.go.dev/badge/github.com/zgsm-ai/codebase-indexer.svg)](https://pkg.go.dev/github.com/zgsm-ai/codebase-indexer)

[![License](https://img.shields.io/github/license/zgsm-ai/codebase-indexer)](LICENSE)



## Overview

codebase-indexer is the context module of [ZGSM (ZhuGe Smart Mind) AI Programming Assistant](https://github.com/zgsm-ai/zgsm) which running on client. It provides powerful codebase indexing capabilities to support  code call graph relationship retrieval for AI programming systems.

### Key Features

- 📊 Code call graph analysis and retrieval

- 🌐 Multi-language support

## Requirements

- Go 1.24.4 or higher

## Quick Start

### Installation

```bash

# Clone the repository

git clone https://github.com/zgsm-ai/codebase-indexer.git

cd codebase-indexer

# Install dependencies

go mod tidy

```

### Running

```bash

# Build the project

make build

```

## License

This project is licensed under the [Apache 2.0 License](LICENSE).

## Acknowledgments

This project builds upon the excellent work of:

- [Tree-sitter](https://github.com/tree-sitter) - For providing robust parsing capabilities