Agent core of Project Amrita
Project description
AmritaCore
AmritaCore is the intelligent agent core module of Proj.Amrita, serving as the primary logical or control component of the project. It provides a flexible and extensible framework for implementing AI agents with advanced capabilities.
🚀 What is AmritaCore?
AmritaCore is a next-generation agent framework designed to simplify the creation and deployment of intelligent agents. Built with modern Python technologies, it provides a comprehensive solution for implementing AI-powered applications with features like event-driven architecture, tool integration, and multi-modal support.
🎯 Mission and Value Proposition
The mission of AmritaCore is to democratize the development of intelligent agents by providing a powerful yet accessible framework. Our core value propositions include:
- Stream-based Design: All message outputs are designed as asynchronous streams for real-time responses
- Security: Built-in cookie security detection to ensure session safety
- Vendor Agnostic: Data types and conversation management are independent of specific providers, offering high portability
- Extensibility: Integrated MCP client in extension mechanisms for enhanced system scalability
🔑 Key Features
- Every is a Stream: All message outputs are asynchronous stream-based designs supporting real-time responses
- Cookie Security Detection: Built-in cookie security detection functionality to protect session security
- Provider Independent Mechanism: Data types and conversation management are independent of specific vendors, with high portability
- MCP Client Support: Extension mechanisms integrate MCP clients, enhancing system expansion capabilities
- Event-Driven Architecture: Comprehensive event system for flexible and reactive agent behavior
- Tool Integration Framework: Robust system for integrating external tools and services
- Advanced Memory Management: Sophisticated context handling with automatic summarization and token optimization
📖 Documentation
Please view Docs for more information.
🛠️ Quick Start
To quickly start using AmritaCore, check out the examples in the demo directory. The basic example demonstrates how to initialize the core, configure settings, and run a simple chat session with the AI assistant.
🤝 Contributing
We welcome contributions! Please see our contribution guidelines for more information.
📄 License
This project is licensed under the AGPL-3.0 License - see the LICENSE file for details.
Other files
- CONTRIBUTING.md - Contribution guidelines
- CODE_OF_CONDUCT.md - Code of conduct
- ZH-CN.md
- EN-US.md
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