Parlant: an open source framework for providing reliable control of large language model intelligences
Parlant is an open-source framework for AI intelligentsia that aims to address the core challenges that large-scale language models (LLMs) currently face in real-world applications: unpredictability and lack of controllability. When building AI intelligentsia, developers often encounter problems such as models ignoring system cues, producing hallucinatory answers, or failing to handle boundary cases. Parlan...
Lang-Agent: a LangGraph-based platform for visualizing the configuration of AI intelligences
Lang-Agent is an AI Intelligent Body (Agent) configuration platform developed based on the LangGraph technology stack. It provides a visual interface that allows users to build complex workflows with limited programmability by dragging and dropping nodes and connecting lines. The design concept of this project is close to ComfyUI, drum...
ZipAgent: a lightweight Python framework for building exclusive AI assistants in 5 minutes
ZipAgent is a modern Python AI Agent framework focused on providing a clean, efficient, and easily extensible development experience. The framework's core design philosophy is “lightweight”, and it implements a full-featured agent system in about 700 lines of core code, including the agent engine, tooling system, and...
SE-Agent: a framework for self-optimizing AI intelligences
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, avoid falling into local optimal solutions, and exhibit group interaction in ...
CoAgents: a framework for learning to use tools through multi-intelligence collaboration
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: the Grounding Agents, which are responsible for generating tool usage instructions, and the CoAgents, which are responsible for generating tool usage instructions, and the CoAgents, which are responsible for generating tool usage instructions.
MiroFlow: a framework for building, managing and scaling AI intelligences
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, a performance that is in...
Sim: Open Source Tools for Rapidly Building and Deploying AI Agent Workflows
Sim is an open source AI agent workflow building platform designed to help users quickly create and deploy Large Language Models (LLMs) that connect various tools. It provides an intuitive interface for developers, technology enthusiasts, and enterprise users.Sim Studio supports both cloud and local deployments, and is flexible and compatible with a wide range of operating environments. Users can pass...
Cognitive Kernel-Pro: a framework for building open source deep research intelligences
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 handling and code execution to support users in complex research tasks. The framework emphasizes the use of free tools to ensure open-source nature and accessibility...
Langroid: Easily Navigating Large Language Models with Multi-Intelligent Body Programming
Langroid is a Python framework for researchers and developers designed to simplify the process of building applications driven by Large Language Models (LLMs). Developed by researchers from Carnegie Mellon University and the University of Wisconsin-Madison, its core idea is to harness the power of LLMs through multi-intelligent body programming....
Okibi: an automated platform for rapidly building AI intelligences with natural language
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 of founders who built Si...
Deep Agents: a Python toolkit for rapidly building AI agents for complex tasks
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, subagents, a virtual file system and detailed system tips. Users can simply install...
Agent Lightning: a flexible framework for optimizing AI intelligences
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: An Open Source Framework for Building Multi-Intelligent Collaborative Systems
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 and collaborative intelligences for applications such as task automation,...
OpenAgents: Open Source Platform Supports Linguistic Intelligentsia to Perform Data Analysis and Daily Tasks
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: the Data Intelligence, the Plug-in Intelligence and the Web Intelligence. The platform provides an intuitive web interface...
SuperAGI: An Open Source Framework for Rapidly Building and Running Autonomous AI Agents
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 work simultaneously , provide a graphical interface to simplify the operation . SuperAGI developed using Python , simple deployment, ...
AgentVerse: An Open Source Framework for Deploying Multi-Intelligence Collaboration and Simulation
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. The simulation framework allows users to create customized environments...
MassGen: A Multi-Intelligence Collaborative Task Processing System
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: An Intelligent Multi-Agent Task Decomposition and Collaboration Framework
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 ...
CozeLoop: an open source platform for optimizing the development and operation of AI intelligences
CozeLoop is ByteDance's open source AI intelligences optimization platform, based on the Apache 2.0 license and free for commercial use. It focuses on the full lifecycle management of AI intelligences, covering cue word development, debugging, evaluation and operation monitoring. The platform provides visualization tools to support developers to quickly optimize the performance of intelligences and solve development...
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