Content
# @autodev/codebase
<p align="center">
[](https://www.npmjs.com/package/@autodev/codebase)
[](https://github.com/anrgct/autodev-codebase)
[](https://opensource.org/licenses/MIT)
</p>
A vector embedding-based code semantic search tool with MCP server and multi-model integration. Can be used as a pure CLI tool. Supports Ollama for fully local embedding and reranking, enabling complete offline operation and privacy protection for your code repository.
```sh
# Semantic code search - Find code by meaning, not just keywords
╭─ ~/workspace/autodev-codebase
╰─❯ codebase search "user manage" --demo
Found 20 results in 5 files for: "user manage"
==================================================
File: "hello.js"
==================================================
< class UserManager > (L7-20)
class UserManager {
constructor() {
this.users = [];
}
addUser(user) {
this.users.push(user);
console.log('User added:', user.name);
}
getUsers() {
return this.users;
}
}
……
# Call graph analysis - Trace function call relationships and execution paths
╭─ ~/workspace/autodev-codebase
╰─❯ codebase call --demo --query="app,addUser"
Connections between app, addUser:
Found 2 matching node(s):
- demo/app:L1-29
- demo/hello.UserManager.addUser:L12-15
Direct connections:
- demo/app:L1-29 → demo/hello.UserManager.addUser:L12-15
Chains found:
- demo/app:L1-29 → demo/hello.UserManager.addUser:L12-15
# Code outline with AI summaries - Understand code structure at a glance
╭─ ~/workspace/autodev-codebase
╰─❯ codebase outline 'hello.js' --demo --summarize
# hello.js (23 lines)
└─ Defines a greeting function that logs a personalized hello message and returns a welcome string. Implements a UserManager class managing an array of users with methods to add users and retrieve the current user list. Exports both components for external use.
2--5 | function greetUser
└─ Implements user greeting logic by logging a personalized hello message and returning a welcome message
7--20 | class UserManager
└─ Manages user data with methods to add users to a list and retrieve all stored users
12--15 | method addUser
└─ Adds a user to the users array and logs a confirmation message with the user's name.
```
## 🚀 Features
- **🔍 Semantic Code Search**: Vector-based search using advanced embedding models
- **🔗 Call Graph Analysis**: Trace function call relationships and execution paths
- **🌐 MCP Server**: HTTP-based MCP server with SSE and stdio adapters
- **💻 Pure CLI Tool**: Standalone command-line interface without GUI dependencies
- **⚙️ Layered Configuration**: CLI, project, and global config management
- **🎯 Advanced Path Filtering**: Glob patterns with brace expansion and exclusions
- **🌲 Tree-sitter Parsing**: Support for 40+ programming languages
- **💾 Qdrant Integration**: High-performance vector database
- **🔄 Multiple Providers**: OpenAI, Ollama, Jina, Gemini, Mistral, OpenRouter, Vercel
- **📊 Real-time Watching**: Automatic index updates
- **⚡ Batch Processing**: Efficient parallel processing
- **📝 Code Outline Extraction**: Generate structured code outlines with AI summaries
- **💨 Dependency Analysis Cache**: Intelligent caching for 10-50x faster re-analysis
## 📦 Installation
### 1. Dependencies
```bash
brew install ollama ripgrep
ollama serve
ollama pull nomic-embed-text
```
### 2. Qdrant
```bash
docker run -d -p 6333:6333 -p 6334:6334 --name qdrant qdrant/qdrant
```
### 3. Install
```bash
npm install -g @autodev/codebase
codebase config --set embedderProvider=ollama,embedderModelId=nomic-embed-text
```
## 🛠️ Quick Start
```bash
# Demo mode (recommended for first-time)
# Creates a demo directory in current working directory for testing
# Index & search
codebase index --demo
codebase search "user greet" --demo
# Call graph analysis
codebase call --demo --query="app,addUser"
# MCP server
codebase index --serve --demo
```
## 📋 Commands
### 📝 Code Outlines
```bash
# Extract code structure (functions, classes, methods)
codebase outline "src/**/*.ts"
# Generate code structure with AI summaries
codebase outline "src/**/*.ts" --summarize
# View only file-level summaries
codebase outline "src/**/*.ts" --summarize --title
# Clear summary cache
codebase outline --clear-summarize-cache
```
### 🔗 Call Graph Analysis
```bash
# 📊 Statistics Overview (no --query)
codebase call # Show statistics overview
codebase call --json # JSON format
codebase call src/commands # Analyze specific directory
# 🔍 Function Query (with --query)
codebase call --query="getUser" # Single function call tree (default depth: 3)
codebase call --query="main" --depth=5 # Custom depth
codebase call --query="getUser,validateUser" # Multi-function connections (default depth: 10)
# 🎨 Visualization
codebase call --viz graph.json # Export Cytoscape.js format
codebase call --open # Open interactive viewer
codebase call --viz graph.json --open # Export and open
# Specify workspace (works for both modes)
codebase call --path=/my/project --query="main"
```
**Query Patterns:**
- **Exact match**: `--query="functionName"` or `--query="*ClassName.methodName"`
- **Wildcards**: `*` (any characters), `?` (single character)
- Examples: `--query="get*"`, `--query="*User*"`, `--query="*.*.get*"`
- **Single function**: `--query="main"` - Shows call tree (upward + downward)
- Default depth: **3** (avoids excessive output)
- **Multiple functions**: `--query="main,helper"` - Analyzes connection paths between functions
- Default depth: **10** (deeper search needed for path finding)
**Supported Languages:**
- **TypeScript/JavaScript** (.ts, .tsx, .js, .jsx)
- **Python** (.py)
- **Java** (.java)
- **C/C++** (.c, .h, .cpp, .cc, .cxx, .hpp, .hxx, .c++)
- **C#** (.cs)
- **Rust** (.rs)
- **Go** (.go)
### 🔍 Indexing & Search
```bash
# Index the codebase
codebase index --path=/my/project --force
# Search with filters
codebase search "error handling" --path-filters="src/**/*.ts"
# Search with custom limit and minimum score
codebase search "authentication" --limit=20 --min-score=0.7
codebase search "API" -l 30 -S 0.5
# Search in JSON format
codebase search "authentication" --json
# Clear index data
codebase index --clear-cache --path=/my/project
```
### 🌐 MCP Server
```bash
# HTTP mode (recommended)
codebase index --serve --port=3001 --path=/my/project
# Stdio adapter
codebase stdio --server-url=http://localhost:3001/mcp
```
### ⚙️ Configuration
```bash
# View config
codebase config --get
codebase config --get embedderProvider --json
# Set config
codebase config --set embedderProvider=ollama,embedderModelId=nomic-embed-text
codebase config --set --global qdrantUrl=http://localhost:6333
```
### 🚀 Advanced Features
#### 🔍 LLM-Powered Search Reranking
Enable LLM reranking to dramatically improve search relevance:
```bash
# Enable reranking with Ollama (recommended)
codebase config --set rerankerEnabled=true,rerankerProvider=ollama,rerankerOllamaModelId=qwen3-vl:4b-instruct
# Or use OpenAI-compatible providers
codebase config --set rerankerEnabled=true,rerankerProvider=openai-compatible,rerankerOpenAiCompatibleModelId=deepseek-chat
# Search with automatic reranking
codebase search "user authentication" # Results are automatically reranked by LLM
```
**Benefits:**
- 🎯 **Higher precision**: LLM understands semantic relevance beyond vector similarity
- 📊 **Smart scoring**: Results are reranked on a 0-10 scale based on query relevance
- ⚡ **Batch processing**: Efficiently handles large result sets with configurable batch sizes
- 🎛️ **Threshold control**: Filter results with `rerankerMinScore` to keep only high-quality matches
#### Path Filtering & Export
```bash
# Path filtering with brace expansion and exclusions
codebase search "API" --path-filters="src/**/*.ts,lib/**/*.js"
codebase search "utils" --path-filters="{src,test}/**/*.ts"
# Export results in JSON format for scripts
codebase search "auth" --json
```
#### Path Filtering & Export
```bash
# Path filtering with brace expansion and exclusions
codebase search "API" --path-filters="src/**/*.ts,lib/**/*.js"
codebase search "utils" --path-filters="{src,test}/**/*.ts"
# Export results in JSON format for scripts
codebase search "auth" --json
```
## ⚙️ Configuration
### Config Layers (Priority Order)
1. **CLI Arguments** - Runtime parameters (`--path`, `--config`, `--log-level`, `--force`, etc.)
2. **Project Config** - `./autodev-config.json` (or custom path via `--config`)
3. **Global Config** - `~/.autodev-cache/autodev-config.json`
4. **Built-in Defaults** - Fallback values
**Note:** CLI arguments provide runtime override for paths, logging, and operational behavior. For persistent configuration (embedderProvider, API keys, search parameters), use `config --set` to save to config files.
### Common Config Examples
**Ollama:**
```json
{
"embedderProvider": "ollama",
"embedderModelId": "nomic-embed-text",
"qdrantUrl": "http://localhost:6333"
}
```
**OpenAI:**
```json
{
"embedderProvider": "openai",
"embedderModelId": "text-embedding-3-small",
"embedderOpenAiApiKey": "sk-your-key",
"qdrantUrl": "http://localhost:6333"
}
```
**OpenAI-Compatible:**
```json
{
"embedderProvider": "openai-compatible",
"embedderModelId": "text-embedding-3-small",
"embedderOpenAiCompatibleApiKey": "sk-your-key",
"embedderOpenAiCompatibleBaseUrl": "https://api.openai.com/v1"
}
```
### Key Configuration Options
| Category | Options | Description |
|----------|---------|-------------|
| **Embedding** | `embedderProvider`, `embedderModelId`, `embedderModelDimension` | Provider and model settings |
| **API Keys** | `embedderOpenAiApiKey`, `embedderOpenAiCompatibleApiKey` | Authentication |
| **Vector Store** | `qdrantUrl`, `qdrantApiKey` | Qdrant connection |
| **Search** | `vectorSearchMinScore`, `vectorSearchMaxResults` | Search behavior |
| **Reranker** | `rerankerEnabled`, `rerankerProvider` | Result reranking |
| **Summarizer** | `summarizerProvider`, `summarizerLanguage`, `summarizerBatchSize` | AI summary generation |
**Key CLI Arguments:**
- `index` - Index the codebase
- `search <query>` - Search the codebase (required positional argument)
- `outline <pattern>` - Extract code outlines (supports glob patterns)
- `call` - Analyze function call relationships and dependency graphs
- `stdio` - Start stdio adapter for MCP
- `config` - Manage configuration (use with --get or --set)
- `--serve` - Start MCP HTTP server (use with `index` command)
- `--summarize` - Generate AI summaries for code outlines
- `--dry-run` - Preview operations before execution
- `--title` - Show only file-level summaries
- `--clear-summarize-cache` - Clear all summary caches
- `--path`, `--demo`, `--force` - Common options
- `--limit` / `-l <number>` - Maximum number of search results (default: from config, max 50)
- `--min-score` / `-S <number>` - Minimum similarity score for search results (0-1, default: from config)
- `--query <patterns>` - Query patterns for call graph analysis (comma-separated)
- `--viz <file>` - Export full dependency data for visualization (cannot use with --query)
- `--open` - Open interactive graph viewer
- `--depth <number>` - Set analysis depth for call graphs
- `--help` - Show all available options
**Configuration Commands:**
```bash
# View config
codebase config --get
codebase config --get --json
# Set config (saves to file)
codebase config --set embedderProvider=ollama,embedderModelId=nomic-embed-text
codebase config --set --global embedderProvider=openai,embedderOpenAiApiKey=sk-xxx
# Use custom config file
codebase --config=/path/to/config.json config --get
codebase --config=/path/to/config.json config --set embedderProvider=ollama
# Runtime override (paths, logging, etc.)
codebase index --path=/my/project --log-level=info --force
```
For complete configuration reference, see [CONFIG.md](CONFIG.md).
## 🔌 MCP Integration
### HTTP Streamable Mode (Recommended)
```bash
codebase index --serve --port=3001
```
**IDE Config:**
```json
{
"mcpServers": {
"codebase": {
"url": "http://localhost:3001/mcp"
}
}
}
```
### Stdio Adapter
```bash
# First start the MCP server in one terminal
codebase index --serve --port=3001
# Then connect via stdio adapter in another terminal (for IDEs that require stdio)
codebase stdio --server-url=http://localhost:3001/mcp
```
**IDE Config:**
```json
{
"mcpServers": {
"codebase": {
"command": "codebase",
"args": ["stdio", "--server-url=http://localhost:3001/mcp"]
}
}
}
```
## 🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request or open an Issue on [GitHub](https://github.com/anrgct/autodev-codebase).
## 📄 License
This project is licensed under the [MIT License](https://opensource.org/licenses/MIT).
## 🙏 Acknowledgments
This project is a fork and derivative work based on [Roo Code](https://github.com/RooCodeInc/Roo-Code). We've built upon their excellent foundation to create this specialized codebase analysis tool with enhanced features and MCP server capabilities.
---
<div align="center">
**🌟 If you find this tool helpful, please give us a [star on GitHub](https://github.com/anrgct/autodev-codebase)!**
Made with ❤️ for the developer community
</div>
