🚀 CodexContinue

A powerful, modular AI development assistant with memory and multi-model support. Built for professional developers who need a versatile AI assistant with local-first capabilities and enterprise-grade features.

🧠 Key Features

CodexContinue offers a range of powerful capabilities:

1. YouTube Transcription: Convert YouTube videos to text and summaries with local processing

   • Transcribe videos in multiple languages with automatic language detection
   • Generate summaries using Ollama models
   • Completely local processing for privacy and security
   • Simple interface for quick transcription tasks
   • High-quality transcripts using OpenAI's Whisper model (running locally)

2. Custom Ollama Models: Specialized models for software development tasks

   • Built on Llama3, optimized for code generation
   • Technical problem-solving expertise
   • Advanced reasoning for development workflows

3. Knowledge Integration: Easy integration of new knowledge and capabilities

   • Vector store for efficient knowledge retrieval
   • Custom knowledge bases for domain-specific information
   • Integration with external data sources

4. Domain Adaptation: Ability to customize the system for specific domains

   • See DOMAIN_CUSTOMIZATION.md for details

🏛️ Architecture

CodexContinue follows a modern containerized microservices architecture that ensures:

1. Modularity: Each component is isolated and independently deployable
2. Scalability: Services can be scaled based on demand
3. Maintainability: Well-defined interfaces between components
4. Flexibility: Easy to add new capabilities or replace existing ones

The system consists of these core services:

• Backend API: FastAPI-based REST API handling business logic
• Frontend UI: Streamlit-based user interface
• ML Service: Machine learning service with LLM integration
• Redis: In-memory data store for caching and messaging
• Ollama: Local LLM service for privacy-focused AI capabilities

🚀 Quick Start

Development Environment

# Clone the repository
git clone https://github.com/msalsouri/CodexContinue.git
cd CodexContinue

# Start the development environment
docker compose -f docker-compose.yml -f docker-compose.dev.yml up -d

Accessing the Application

• Frontend UI: http://localhost:8501
• Backend API: http://localhost:8000/docs
• ML Service API: http://localhost:5000/docs

🛠️ Development

For contribution guidelines, development workflow, and best practices, see:

• CONTRIBUTING.md - How to contribute to the project
• DEVELOPMENT_WORKFLOW.md - Development workflow and processes
• troubleshooting-guide.md - Troubleshooting common issues

📋 Planned Features

The following features are planned for future development:

1. Batch YouTube Transcription: Process multiple YouTube videos at once
2. Enhanced Summarization Options: More control over summary generation
3. Knowledge Base Integration: Save transcriptions to knowledge base
4. Transcription Annotation: Add notes and annotations to transcriptions

For more information on upcoming features and development roadmap, see NEXT_STEPS.md.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.