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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

  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.

🛠️ 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.

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