The context engine for AI coding agents - reduce tokens by 50-70%
Project description
CodeNexus AI
The context engine for AI coding agents
What is CodeNexus?
CodeNexus is a local-first context engine that helps AI coding agents understand your codebase better. It builds a live dependency graph of your code and serves only the relevant context to AI agents, reducing token usage by 50-70% while improving code quality.
Key Features
- Local-first: Your code never leaves your machine
- Token reduction: Save 50-70% on AI API costs
- Multi-language: Python, JavaScript, TypeScript support
- MCP compatible: Works with Claude Code, Cursor, and other AI agents
- Fast indexing: SQLite-based dependency graph
Quick Start
Installation
pip install codenexus-ai
Basic Usage
# Index your project
codenexus index
# Search for context
codenexus search "authentication middleware"
# Run context pipeline
codenexus pipeline "fix login bug"
# Check index status
codenexus status
How It Works
Your Codebase
↓
[CodeNexus Indexer]
↓
┌─────────────────────────────────────┐
│ Dependency Graph (SQLite + FTS5) │
│ - Functions, Classes, Imports │
│ - Call relationships │
│ - Type information │
└─────────────────────────────────────┘
↓
[Context Capsule Generator]
↓
┌─────────────────────────────────────┐
│ Optimized Context for AI Agent │
│ - Pivot files: Full source │
│ - Supporting: Skeleton only │
│ - Token budget: Respected │
└─────────────────────────────────────┘
↓
AI Agent (Claude Code, Cursor, etc.)
Claude Code Integration
CodeNexus works with Claude Code to reduce token usage for AI coding agents.
Setup
1. Install CodeNexus
pip install codenexus-ai
2. Edit .claude.json
File location:
- macOS/Linux:
~/.claude.json - Windows:
C:\Users\your-username\.claude.json
3. Add configuration
Add the following to your ~/.claude.json:
{
"mcpServers": {
"codenexus": {
"command": "codenexus",
"args": ["serve", "-w", "/path/to/your/project"]
}
}
}
⚠️ Important: /path/to/your/project should be the path to the project where you want to use CodeNexus.
Path Examples
❌ Wrong:
"args": ["serve", "-w", "C:\\Users\\username\\.codenexus"]
→ CodeNexus config directory (incorrect)
✅ Correct:
"args": ["serve", "-w", "C:\\Users\\username\\projects\\my-app"]
→ Project directory where you want to use CodeNexus
OS-specific Path Examples
Windows:
{
"mcpServers": {
"codenexus": {
"command": "codenexus",
"args": ["serve", "-w", "C:\\Users\\username\\projects\\my-app"]
}
}
}
macOS/Linux:
{
"mcpServers": {
"codenexus": {
"command": "codenexus",
"args": ["serve", "-w", "/home/username/projects/my-app"]
}
}
}
Multiple Projects
To use CodeNexus with multiple projects, add configuration for each project:
{
"projects": {
"C:\\Users\\username\\projects\\app1": {
"mcpServers": {
"codenexus": {
"command": "codenexus",
"args": ["serve", "-w", "C:\\Users\\username\\projects\\app1"]
}
}
},
"C:\\Users\\username\\projects\\app2": {
"mcpServers": {
"codenexus": {
"command": "codenexus",
"args": ["serve", "-w", "C:\\Users\\username\\projects\\app2"]
}
}
}
}
}
Verify Setup
- Save
.claude.json - Restart Claude Code
- Run Claude in your project directory
cd C:\Users\username\projects\my-app
claude
Troubleshooting
If MCP server doesn't connect:
-
Check if CodeNexus is installed:
pip show codenexus-ai
-
Test code execution:
codenexus --version -
Verify the path is correct (watch for quotes)
Supported Languages
| Language | Status |
|---|---|
| Python | ✅ Full support |
| JavaScript | ✅ Full support |
| TypeScript | ✅ Full support |
| Go | ✅ Full support |
| Rust | ✅ Full support |
| Java | ✅ Full support |
| C# | ✅ Full support |
Other AI Agent Integration
CodeNexus works with various AI coding agents. Here's how to integrate with other popular tools.
OpenClaw Integration
OpenClaw is a personal AI assistant that connects to WhatsApp, Telegram, Slack, Discord, and more.
Setup
OpenClaw doesn't support MCP directly. Use CodeNexus CLI commands through OpenClaw's skill system.
1. Install CodeNexus:
pip install codenexus-ai
2. Create OpenClaw skill:
Create ~/.openclaw/workspace/skills/codenexus/SKILL.md:
---
name: codenexus
description: Search and analyze code using CodeNexus
allowed_tools:
- bash
---
# CodeNexus Skill
Use CodeNexus to search and analyze code in the workspace.
## Commands
- `codenexus index` - Index the workspace
- `codenexus search "query"` - Search for code
- `codenexus pipeline "task"` - Get context for a task
3. Usage in OpenClaw:
/codenexus search "authentication middleware"
/codenexus pipeline "fix login bug"
Hermes Agent Integration
Hermes Agent is a self-improving AI agent by Nous Research.
Setup
Hermes supports MCP servers. Configure CodeNexus as an MCP server.
1. Install CodeNexus:
pip install codenexus-ai
2. Add MCP server to Hermes:
hermes mcp add codenexus -- codenexus serve -w /path/to/your/project
Or add to ~/.hermes/config.yaml:
mcp_servers:
codenexus:
command: codenexus
args:
- serve
- -w
- /path/to/your/project
3. Usage in Hermes:
/hermes search "authentication middleware"
/hermes pipeline "fix login bug"
Other Agents
Any agent that supports CLI commands can use CodeNexus:
# Direct CLI usage
codenexus index
codenexus search "query"
codenexus pipeline "task"
codenexus status
# JSON output for programmatic use
codenexus search "query" --json
Token Savings Example
Before CodeNexus:
8,247 tokens per query
After CodeNexus:
2,140 tokens per query (74% reduction)
Setup Wizard
CodeNexus includes a setup wizard to easily configure AI coding agents.
Detect Installed Agents
codenexus wizard detect
List Supported Agents
codenexus wizard list
Setup a Specific Agent
# Claude Code
codenexus wizard setup claude_code
# OpenClaw
codenexus wizard setup openclaw
# Hermes Agent
codenexus wizard setup hermes
# Cursor
codenexus wizard setup cursor
# GitHub Copilot
codenexus wizard setup copilot
# Codex
codenexus wizard setup codex
# And more...
Note: Setup will automatically index your project after configuration.
Clear Index Data
codenexus wizard clear
This will show all index directories and let you select which ones to clear.
Interactive Setup
codenexus wizard interactive
Roadmap
- Tree-sitter integration for better parsing
- Graph centrality (PageRank) for better ranking
- Local LLM support for additional savings
- Multi-repo workspace support
- VS Code extension
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments
- Inspired by vexp - The original context engine
- Built with Python, SQLite, and MCP
- Thanks to all contributors
Support
If you find CodeNexus useful, consider supporting the project:
Connect your code. Empower your AI.
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