Octocode is an agentic assistant for AI agents and IDEs that creates smarter context from actual code implementations across millions of GitHub repositories.
- 🎯 Real-World Code Patterns - Learn from production codebases, not just documentation
- 🔒 Enterprise-Grade Security - Built-in content sanitization and secrets detection
- 🏢 Organization-Wide Support - Can work on any GitHub organization (based on your permissions), including private orgs
- 📊 Progressive Research - Discover → Explore → Analyze workflow for deep code understanding
Perfect for: Code creation, bug fixes, architecture research, documentation, and learning from real implementations.
Watch Octocode transform a simple prompt into a complete production-ready application with full-stack implementation (frontend + backend).
💬 The Single Prompt:
**Prompt:
Use Octocode MCP for Deep Research** I want to build an application with chat (front-end) that shows a chat window to the user.
The user enters a prompt in the chat, and the application sends the prompt to an Express backend that uses AI to process the request.Add a return box (to show the message returned from the AI) and loaders to the UI.
I want to build an AI agent system in Node.js using LangChain and LangGraph. Can you research the latest patterns?Please conduct thorough research on how to create this in the best way possible.
Focus on repositories with good documentation and recent activity.
- Do a deep research
- Create a plan document
- Initiate the plan and create the application
📋 Phase 1: Research & Planning
Area.mp4
Octocode researches best practices from Millions of repositories and creates a detailed implementation plan
⚡ Phase 2: Implementation (Run the plan using any CLI/IDE)
answer.mp4
From plan to working code - full application built with real-world patterns
🎯 What You Get:
- ✅ Deep research across popular repositories
- ✅ Detailed architecture and implementation plan
- ✅ Complete working application (frontend + backend)
- ✅ Production-ready code following industry best practices
- ⏱️ All in less than 10 minutes!
-
🎮 Live Demo: ThreeJS Implementation Comparison
See the dramatic quality difference between generic AI responses and Octocode-enhanced responses -
📺 YouTube Channel
Deep code research tutorials, AI agent workflows, and pull request analysis
Get started with Octocode in 2 minutes:
# 1. Authenticate with GitHub (install GitHub CLI from https://cli.github.com/)
gh auth login
# 2. Add to your AI assistant's MCP configuration
{
"mcpServers": {
"octocode": {
"command": "npx",
"args": ["octocode-mcp@latest"]
}
}
}
# 3. Start using it in your AI assistant!This monorepo contains four powerful tools for AI-enhanced development:
packages/octocode-mcp/ - The core MCP server
Enable AI assistants to search and analyze millions of GitHub repositories with intelligent code discovery.
Key Features:
- 🔍 Smart code search across GitHub's entire public repository index
- 📊 Progressive research workflows (Discover → Explore → Analyze)
- 🔒 Enterprise-grade security with automatic secrets sanitization
- ⚡ Token-efficient responses (up to 70% reduction)
- 🎯 Context-aware code retrieval with pattern matching
packages/octocode-utils/ - Utility library
Token optimization and content processing utilities used by Octocode MCP, available as a standalone package.
Key Features:
- 🗜️ Smart content minification for 50+ programming languages
- ⚡ Advanced token optimization strategies (30-60% savings)
- 🔧 Helper utilities for content processing
- 📦 Standalone NPM package for your own projects
Perfect for: Building token-efficient AI tools, content processors, and LLM integrations.
packages/octocode-local-memory/ - In-memory storage MCP
Ultra-fast in-memory storage for AI agent coordination and communication without external dependencies.
Key Features:
- ⚡ Sub-millisecond operations (< 1ms read/write)
- 🤝 Enable multiple AI agents to coordinate seamlessly
- 🔒 File lock management to prevent race conditions
- 📊 Task assignments, status tracking, and inter-agent messaging
- 🪶 Zero configuration - no database or Redis required
Perfect for: Multi-agent workflows, task coordination, real-time status tracking, and parallel agent execution.
octocode-claude-plugin/ - Multi-agent development system
Transform ideas into production-ready applications with a team of specialized AI agents working in parallel.
Key Features:
- 👥 7 specialized AI agents (Product Manager, Architect, Frontend/Backend/DevOps Engineers, QA, Documentation)
- 📋 7-phase workflow: Requirements → Architecture → Development → Testing → Documentation → Deployment
- 🔬 Research-driven decisions from 100,000+ GitHub repositories
- 🚀 Parallel execution with automatic file conflict prevention
- ✅ 80-90% test coverage enforcement
Example Usage:
/octocode-generate Build a blog platform with authentication, comments, and admin panel- 🌐 Official Website - Interactive tutorials and guides
- 📖 Usage Guide - 20+ real-world examples
- 🔐 Authentication Setup - Complete setup guide
- 🔧 API Reference - Detailed tool schemas
- 📚 Curated Code Resources - 610+ hand-picked repositories organized by category
Join our growing community of developers using Octocode:
- ⭐ Star us on GitHub - Show your support!
- 💬 GitHub Discussions - Ask questions and share ideas
- 🐛 Report Issues - Found a bug? Let us know
- 📺 YouTube Channel - Video tutorials and examples