It is an open-source platform called AgentOS, designed to simplify the development and deployment of multi-agent systems for automation and collaboration.
It is an open-source platform called AgentOS, designed to simplify the development and deployment of multi-agent systems for automation and collaboration. AgentOS enables users to build production-ready multi-agent systems in minutes, eliminating the need for months of development. It allows users to create specialized agents, such as assistant agents for problem-solving, executor agents for taking action, critic agents for validation, and group chat managers for coordination. These agents work together seamlessly, with AG2 handling message routing, state management, and conversation flow automatically.
AgentOS provides tools like AG2 Studio, which offers visual agent system design, real-time testing and debugging, and one-click deployment to production, making it ideal for prototyping and MVPs. The platform also includes AG2 Marketplace, where users can share, monetize, and discover pre-built agent templates, as well as connect with other builders. Scaling tools are available for zero-to-production deployment guides, usage analytics, cost optimization, team collaboration, and enterprise-ready security controls.
The platform supports flexible agent construction and orchestration, built-in conversation patterns, and seamless human-AI collaboration with configurable human input modes, intervention points, and approval workflows. AgentOS is designed for a wide range of users, from solo founders prototyping AI products to enterprise teams deploying at scale. It has a growing community of over 20,000 active agent builders, with daily technical discussions, weekly community calls, an open RFC process, and regular contributor events. AgentOS is accessible via GitHub and Discord, making multi-agent development accessible to everyone.
It is an AI-powered micro agent designed to write and fix code for developers by generating code, creating tests, and iterating until all test cases pass.
It is a suite of tools designed to support developers throughout the lifecycle of building, running, and managing large language model (LLM) applications.
It is a GitHub-native tool designed to automate and enhance the pull request (PR) workflow by running multiple AI agents in parallel directly on your codebase.
It is an AI-powered tool designed to enhance software development productivity by automating tasks, solving bugs, and providing real-time collaboration within GitHub.
It is an AI-powered software testing platform designed to automate API and UI testing with no human intervention, enabling developers to achieve enterprise-level QA efficiency.
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It is a platform that replaces queues, state management, and scheduling with durable functions, enabling developers to build reliable, AI-ready step functions faster without managing infrastructure.
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It is an advanced AI software engineer designed to understand high-level human instructions, break them down into actionable steps, research relevant information, and write code to achieve specific objectives.
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It is an automation framework designed to guide interacting AI agents through the entire process of scientific research, starting from raw data and culminating in the creation of transparent, backward-traceable, and human-verifiable scientific papers.
It is an AI-powered reputation management tool designed to help hotels improve their online reviews and overall reputation by directly contacting guests to collect feedback, organize it into actionable insights, and solicit positive reviews.
It is a 124-billion-parameter open-weights multimodal model called Pixtral Large, built on Mistral Large 2, designed to excel in both image and text understanding.
It is a comprehensive WhatsApp communication platform designed to scale and optimize team collaboration, customer engagement, and workflow automation for businesses.
