A comprehensive collection of templates and components for building sophisticated AI agents and systems. This project provides modular building blocks for developers to create, deploy, and scale AI agents across various use cases.
This repository contains ready-to-use templates for the core components of AI agent systems:
- Execution Environment: Foundation for running AI agents with memory management and tool integration
- Web Server: FastAPI-based server for exposing agent capabilities as APIs
- Message Brokers: Integration templates for communication between agent components
The core runtime for AI agents with features like:
- Modular agent architecture
- Flexible memory systems
- Tool/skill integration framework
- Powerful code analysis capabilities
RESTful API service that:
- Provides endpoints for agent interaction
- Handles authentication and request validation
- Scales to support multiple concurrent users
Communication templates for:
- Redis-based messaging between components
- Asynchronous task processing
- Event-driven agent architectures
Each component includes its own README with detailed setup instructions. To get started:
- Clone this repository
- Choose the components you need for your agent system
- Follow the setup instructions in each component directory
- Customize the templates to your specific use case
- Code Analysis Agent: Analyze code quality, suggest improvements, and track changes
- Research Assistant: Web scraping, document summarization, and knowledge graph building
- Data Processing Pipeline: Transform, analyze, and visualize data from various sources
This project is open source and available under the MIT License.
Contributions are welcome! Please feel free to submit issues, feature requests, or pull requests.
This project draws inspiration from various agent frameworks and AI research. We're grateful to the open source community for their continued contributions to the field.