General Introduction Agentarium is a powerful Python framework specialized for managing and orchestrating AI intelligent agents (Agents). The framework provides a flexible and intuitive way to create, manage, and orchestrate interactions between multiple AI agents. It uses A...
General Introduction miniLLMFlow is a minimalist Large Language Model (LLM) development framework that contains only 100 lines of core code, demonstrating the design philosophy of "keeping it simple". The framework is specifically designed to enable AI assistants (e.g. ChatGPT, Claude, etc.) to...
General Introduction Swarms is an enterprise-grade production-ready multi-agent orchestration framework designed to boost business productivity through efficient agent management and task processing. With support for multiple models, multiple memory systems and custom agent creation, the framework provides a modular design and comprehensive logging capabilities to ensure that the system...
Comprehensive Introduction Dynamiq is an open source AI orchestration framework designed for agent AI and Large Language Model (LLM) applications. It is designed to simplify the development of AI-driven applications, especially in the area of Retrieval Augmented Generation (RAG) and the orchestration of LLM agents.Dynamiq proposes...
Comprehensive Introduction Orchestra is an innovative lightweight Python framework that focuses on building multi-intelligence collaborative systems based on the Large Language Model (LLM). It employs a unique method of arranging intelligences so that multiple AI intelligences can work together harmoniously like a symphony orchestra. By modeling ...
Comprehensive Introduction AgentClientDemo is a comprehensive Python project that integrates intelligent (Agent) and client (Client) functionality. The project is based on the PyQt framework and provides an intuitive and easy-to-use graphical user interface (G...
Comprehensive Introduction AutoGen is an open source framework developed by a team of Microsoft researchers focused on simplifying the building of large language model (LLM) applications through multi-intelligent body conversations. It allows developers to create AI agents that can talk to each other and collaborate to solve tasks. This approach not only improves the performance of LLM...
General Introduction Swarm is an experimental educational framework developed by OpenAI to explore lightweight, controlled, and easy-to-test interfaces for multi-agent systems. The framework is primarily used to demonstrate handoffs and routine patterns between agents to help developers understand and implement the coordination and execution of multi-agent systems...
Comprehensive Introduction Kheish is an open source multi-role agent designed for Large Language Model (LLM) tasks that require structured, step-by-step collaboration.Kheish is more than just a simple coordinator, it is an intelligent agent in its own right, requesting modules on demand, integrating user-reversal...
Quantum Swarm is an open source artificial intelligence framework focused on developing and researching AI population intelligence. The project is maintained by the Quarm AI team on GitHub and aims to provide a flexible and efficient platform for building and testing multi-intelligence systems.Quan...
General Introduction Julep AI is a platform for creating and managing AI intelligences that remember past interactions and perform complex multi-step tasks.Julep AI provides long-term memory and multi-step process management capabilities, supports integration with external tools and API ...
Comprehensive Introduction LangGraph Supervisor is a Python library based on the LangGraph framework, designed for creating and managing multi-intelligent body systems. The library coordinates the work of multiple specialized agents through a central supervisory agent, ensuring that communication flows and tasks are divided...
General Introduction Solana Agent Kit is an open source toolkit designed to seamlessly connect AI intelligences to the Solana blockchain protocol. The kit allows both AI researchers and cryptocurrency developers to use any model-trained intelligent body to execute over...