Intelligent Body Development Framework

Parlant is an open-source framework for AI intelligentsia that aims to address the core challenges faced by current large-scale language models (LLMs) in real-world applications: unpredictability and lack of controllability. When building AI intelligences, developers often encounter models that ignore system prompts, produce hallucinatory answers, or are unable to handle edge...

ZipAgent 是一个现代化的 Python AI Agent 框架，它专注于提供简洁、高效和易于扩展的开发体验。 该框架的核心设计思想是“轻量”，仅用大约700行核心代码就实现了一个功能完整的智能体系统，包括 Agent 引擎、工具.....

SE-Agent is a self-evolutionary framework designed for Large Language Model (LLM) intelligences. It allows different reasoning paths to exchange information through a trajectory-level evolutionary mechanism, which breaks the limitation of a single thinking path. SE-Agent is able to extend the search range and avoid falling into local optimal solutions ...

CoAgents is an innovative multi-intelligence collaboration framework designed to enhance the ability of Large Language Models (LLMs) to use external tools and APIs. The core idea of the framework is to decompose complex tool usage tasks into three specialized intelligences: a "base agent" responsible for generating tool usage instructions...

MiroFlow is an intelligent body framework designed to simplify the development of complex multi-intelligent body systems. It provides a set of tested tools that can reliably accomplish complex tasks that require the use of multiple tools.MiroFlow achieved a pass@1 (three run average) of 72.2% on the GAIA validation set...

Cognitive Kernel-Pro is an open source framework developed by Tencent's AI Lab, designed to help users build deep research intelligences and train intelligent base models. It integrates web browsing, file processing and code execution to support users in complex research tasks. The framework emphasizes the use of free work...

Langroid is a Python framework for researchers and developers designed to simplify the process of building applications driven by Large Language Models (LLMs). It was developed by researchers from Carnegie Mellon University and the University of Wisconsin-Madison, and its core idea is to program multi-intelligentsia through...

Okibi is a web platform that allows users to quickly create AI intelligences through natural language. Users simply describe their needs in simple words, and Okibi automatically generates intelligences for complex tasks ranging from tool invocation to workflow automation. The platform was developed by a Y Combinator-backed team, founded...

Deep Agents is a Python toolkit developed by LangChainAI focused on helping users quickly build AI agents capable of handling complex tasks. It is based on the LangGraph framework and provides built-in planning tools, sub-agents, a virtual file system and detailed system tips. Users can simply .....

Agent Lightning is an open source framework developed by a team of Microsoft researchers to help developers optimize the performance of AI intelligences. It supports a variety of intelligent body development frameworks, such as OpenAI Agents SDK, AutoGen and LangChain, and uses technologies such as reinforcement learning (RL)...

CAMEL-AI is an open source multi-intelligence body framework focused on researching and building collaborative artificial intelligence systems. Its core goal is to explore the scaling laws of intelligences and support the simulation and interaction of up to millions of intelligences.CAMEL-AI provides flexible tools and modules to help developers create autonomous collaborative...

OpenAgents is an open source platform designed to allow users to interact with intelligences through natural language to accomplish tasks such as data analysis, plug-in invocation and web browsing. It is developed by the XLANG NLP Lab at the University of Hong Kong and contains three core intelligences: data intelligences, plug-in intelligences and webpage intelligences. Ping...

SuperAGI is an open source autonomous AI agent framework designed for developers. It helps users quickly build, manage and run AI agents to solve real problems. The framework supports a variety of tools to integrate , can run multiple agents at the same time , provide a graphical interface to simplify the operation . SuperAGI using Python to open ...

AgentVerse is an open source project designed to help users rapidly deploy multi-intelligent body systems based on the Large Language Model (LLM). It provides two core frameworks: task resolution and simulation environment. Task resolution framework through multiple intelligences collaborate to automate complex tasks such as software development or consulting services ...

MassGen is an open source multi-intelligence collaboration system inspired by xAI's Grok Heavy and Google DeepMind's Gemini Deep Think. it solves complex tasks by having multiple AI intelligences working in parallel to share information and optimize results. Users can...

Sage is an open source multi-agent system framework that focuses on decomposing complex tasks into manageable subtasks that are accomplished collaboratively by multiple intelligent agents. It is based on Python , supports DeepSeek-V3, GPT-4, Claude-3.5 and other multi-language models , suitable for enterprise-level applications.Sage provides deep thinking models ...

Coze Studio is ByteDance's open source AI Intelligence development platform, based on the Apache 2.0 license, allowing free commercial use. It provides visualization tools to support no-code or low-code way to quickly build, debug and deploy AI intelligences and applications. The backend is developed in Golang and the frontend is based on Rea...

OxyGent is an open source Python framework from Jingdong Open Source (JD Open Source) focused on helping developers rapidly build production-ready intelligent systems. It provides an end-to-end development process through modular Oxy components , unified management tools , models and intelligences.OxyGent supports fast ...

JoyAgent-JDGenie is a multi-intelligence body framework open-sourced by Jingdong, focusing on automating complex tasks. It has performed well in GAIA benchmarks with an accuracy of 75.15%, surpassing several similar products. This framework works out-of-the-box, does not rely on cloud platforms, and is suitable for local deployment. Users can ...