It is a multi-agent framework designed to assign different roles to GPTs (Generative Pre-trained Transformers) to form a collaborative entity capable of handling complex tasks.
It is a multi-agent framework designed to assign different roles to GPTs (Generative Pre-trained Transformers) to form a collaborative entity capable of handling complex tasks. The framework, known as MetaGPT, is developed by the first AI software company aiming to advance natural language programming. It enables users to create AI agent development teams, such as MGX (MetaGPT X), which was officially launched on February 19, 2025. MetaGPT supports natural language programming and integrates advanced features like Data Interpreter, a powerful agent for solving real-world problems, and RAG (Retrieval-Augmented Generation) modules. It also allows users to assign different large language models (LLMs) to specific roles, enhancing flexibility and functionality.
MetaGPT has achieved significant milestones, including the acceptance of its research papers at top conferences like ICLR 2024 and ICLR 2025. It was ranked #1 in the LLM-based Agent category at ICLR 2024 and #2 at ICLR 2025. The framework has been open-source since June 30, 2023, and has consistently topped GitHub Trending Monthly charts. It supports Python 3.9 to 3.11 and offers installation via CLI, Docker, or as a library. Users can configure MetaGPT through a YAML file and utilize it for tasks like code generation and debate simulations. The project encourages community participation through Discord, contributor forms, and feedback channels, with a commitment to responding to inquiries within 2-3 business days. MetaGPT is licensed under an open-source model and is part of the Open100: Top 100 Open Source achievements.
It is a simple general-purpose autonomous agent called MiniAGI, designed to operate using the OpenAI API, specifically compatible with GPT-3.5-Turbo and GPT-4.
It is a framework and suite of applications designed for developing and deploying large language model (LLM) applications based on Qwen (version 2.0 or higher).
It is a framework for orchestrating role-playing, autonomous AI agents, enabling them to work together seamlessly to tackle complex tasks through collaborative intelligence.
It is a production-ready Multi-AI Agents framework with self-reflection capabilities, designed to automate and solve problems ranging from simple tasks to complex challenges.
It is a composable framework called FloAI that simplifies the creation of AI agent architectures by providing a flexible, modular approach to building agent-based applications.
It is an open-source developer platform designed to reliably integrate probabilistic large language model (LLM) reasoning into existing systems using a code-first and API-driven approach.
It is an autonomous system powered by large language models (LLMs) that, given high-level instructions, can plan, use tools, carry out steps of processing, and take actions to achieve specific goals.
It is the Large Language Model Automatic Computer (L2MAC), a pioneering framework designed to function as a practical, general-purpose stored-program automatic computer based on the von Neumann architecture.
It is a platform designed to build and deploy AI agents that address trust barriers in adopting agentic AI by embedding data protection, policy enforcement, and validation into every agent, ensuring business success.
It is a project titled "Natural Language-Based Societies of Mind (NLSOM)" that explores the concept of intelligence through diverse, interconnected agents working collaboratively in a natural language-based framework.
It is an AI-driven observability platform designed to monitor, analyze, and optimize GitHub Actions workflows by detecting anomalies, identifying root causes, and providing actionable fixes to improve CI pipeline performance and developer productivity.
It is a framework called QuantaLogic ReAct Agent, designed to build advanced AI agents by integrating large language models (LLMs) with a robust tool system, enabling them to understand, reason about, and execute complex tasks through natural language interaction.
It is a no-code platform that enables users to build AI-powered applications to automate and streamline complex document workflows, such as corporate, technical, and regulatory documents.
It is a comprehensive platform designed to enable developers to build, deploy, and scale production-ready AI agents quickly and securely using their own data.
It is an AI-powered platform called Inboundr that transforms conversations, meetings, and other inputs into high-quality content for LinkedIn and other platforms.
It is an AI-powered software engineering tool designed to assist engineering teams by acting as a collaborative teammate, enabling them to achieve more through automation and intelligent problem-solving.
It is a legal technology solution that combines AI-powered data extraction with customizable workflows to automate and streamline legal processes, particularly contract review and remediation.
It is an experimental autonomous agent called ReactAgent that uses the GPT-4 language model to generate and compose React components from user stories.
