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.
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.
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
- 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
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.
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.
We welcome contributions! Please see our contribution guidelines for more information.
This project is licensed under the AGPL-3.0 License - see the LICENSE file for details.
- CONTRIBUTING.md - Contribution guidelines
- CODE_OF_CONDUCT.md - Code of conduct
- ZH-CN.md
- EN-US.md