Intelligent Body Development Framework

Comprehensive Introduction Lecca is a powerful AI platform that allows users to configure and deploy Large Language Models (LLMs) with multiple tools and workflows. Users can easily build, customize and automate their AI agents.Lecca offers a wide selection of AI providers and models...

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...

Comprehensive Introduction MetaGPT is an innovative multi-intelligence body framework designed to model the operations of a complete AI software company. Created by geekan (Alexander Wu), the goal of the project is to combine GPT models with different roles into a collaborative entity...

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 ...

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...

Comprehensive introduction Eliza is an advanced multi-intelligent body (Multi-Agent) development framework , is committed to simplifying the construction and deployment of autonomous intelligent body (Autonomous Agent) process . It supports the deployment of multiple intelligent bodies with different role settings , can realize intelligent ...

General Introduction Memary is an innovative open source project focused on providing long-term memory management solutions for autonomous intelligences. The project helps intelligences break through the limitations of traditional context windows to achieve smarter interaction experiences through knowledge graphs and specialized memory modules.Memary adopts...

Comprehensive Introduction Smolagents is a lightweight intelligent agent library developed by HuggingFace that focuses on simplifying the development process of AI agent systems. The project is known for its clean design philosophy, with only about 1000 lines of core code, yet provides powerful feature integration capabilities. It is most ...

Comprehensive Introduction CrewAI is an advanced framework designed to orchestrate collaboration between role-playing and autonomous AI agents. By facilitating collaborative intelligence, CrewAI enables agents to work together seamlessly to solve complex tasks. Whether you're building an intelligent assistant platform, automating customer service teams, or multi-agent...

General Description AutoGPT is a powerful platform designed to help users create, deploy and manage continuously running AI agents and automate complex workflows. Developed by Significant Gravitas, the platform offers a wide range of tools and features that enable users to focus...

Comprehensive Introduction Qwen-Agent is an intelligent agent application framework developed based on Qwen 2.0 and above, with capabilities such as command following, tool usage, planning and memorization. The framework provides a variety of sample applications such as browser assistants, code interpreters and custom assistants...

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 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...

General Introduction ControlFlow is a Python framework developed by PrefectHQ focused on building and managing AI workflows. It provides a structured, developer-oriented framework for defining workflows and delegating tasks to Large Language Model (LLM) generation...

Comprehensive Introduction BISHENG is an open source LLM (Large Language Model) DevOps platform designed for next generation enterprise AI applications. The platform provides powerful and comprehensive features including generative AI workflows, RAG (Retrieval Augmented Generation), intelligent agents, unified model management...

Comprehensive Introduction Bambo is a new type of proxy framework, which is lighter and more flexible than the mainstream frameworks and can handle a variety of load tasks.Bambo achieves efficient proxy functionality by defining all the tools in the tool catalog and using asynchronous custom functions. Users can use the llm_c...

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 TEN Agent is an open source real-time multimodal intelligences framework that integrates the OpenAI Realtime API and RTC to support a variety of functions such as weather querying, web searching, visual processing and RAG (Retrieval Augmented Generation). The framework aims to provide high ...

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...