amrita_core 0.2.1

Agent core of Project Amrita

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

1. Every is a Stream: All message outputs are asynchronous stream-based designs supporting real-time responses
2. Cookie Security Detection: Built-in cookie security detection functionality to protect session security
3. Provider Independent Mechanism: Data types and conversation management are independent of specific vendors, with high portability
4. MCP Client Support: Extension mechanisms integrate MCP clients, enhancing system expansion capabilities
5. Event-Driven Architecture: Comprehensive event system for flexible and reactive agent behavior
6. Tool Integration Framework: Robust system for integrating external tools and services
7. Advanced Memory Management: Sophisticated context handling with automatic summarization and token optimization

📖 Documentation Structure

This repository contains documentation organized as follows:

• Level 1: Project Introduction - Overview of AmritaCore, its purpose, and key characteristics
• Level 2: Quick Start - Getting started guides, installation, and minimal examples
• Level 3: Core Concepts - Configuration systems, data types, event systems, and tool systems
• Level 4: Implementation Guide - Detailed functional implementations and usage patterns
• Level 5: Extensions & Integration - How to extend and integrate with other systems
• Level 6: Security Mechanisms - Security features and best practices
• Level 7: Application Scenarios - Use cases and practical examples
• Level 8: Best Practices & FAQs - Troubleshooting and optimization tips
• Level 9: API Reference - Complete API documentation
• Level 10: Appendices - Glossary, resources, and changelogs

Documentation is currently under construction. For quick start, please refer to the examples in the demo/ folder.

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