Some links may be affiliate links. We may earn a small commission at no extra cost to you. Learn more
Microsoft Research's open-source generalist multi-agent system with an Orchestrator directing four specialized sub-agents for web navigation, file handling, coding, and terminal execution.
Editor's take: “Capable AI tool with a focused use case and functional feature set” — Sohail Akhtar
Reviewed by Sohail Akhtar
Lead Editor & Founder
What we like
Limitations
| Plan | Details |
|---|---|
| Free | Full open-source access to Magentic-One source code, agent implementations, AutoGenBench evaluation tool, and documentation at no cost under the AutoGen license on GitHub. Users pay only for LLM API calls from their configured provider. |
| Paid | No paid tier. The system is entirely open-source with no commercial licensing requirements. |
Magentic-One is fully open-source and available at no cost as part of the Microsoft AutoGen framework on GitHub and PyPI. There are no platform fees or subscription charges. Users are responsible for LLM API costs associated with the model provider they configure, such as OpenAI API charges for GPT-4o, billed directly by the provider based on token usage.
Quick Summary
Magentic-One is an open-source generalist multi-agent AI system developed by Microsoft Research and released in November 2024, built on the Microsoft AutoGen framework, that uses a lead Orchestrator agent to plan and coordinate four specialized sub-agents—WebSurfer, FileSurfer, Coder, and ComputerTerminal—to complete complex, multi-step web and file-based tasks autonomously. It is designed for AI researchers, developers, and engineers who need a modular, model-agnostic agentic system capable of handling open-ended tasks across diverse domains without requiring architecture changes between use cases. Magentic-One achieved statistically competitive performance against state-of-the-art systems on the GAIA, AssistantBench, and WebArena benchmarks at the time of its release.
Associated Tags
multi-agent system, AI orchestration, web automation agent, open source AI agent, Microsoft AutoGen, agentic AI, task decomposition, code execution agent
Who should use Magentic-One?
Discover practical workflows and real-world scenarios where Magentic-One delivers key solutions.
An AI researcher uses Magentic-One as a baseline implementation to study how multi-agent error recovery and re-planning behavior affects performance on GAIA benchmark tasks.
A developer building an enterprise automation tool uses the AutoGen AgentChat interface to add a custom database query agent to the Magentic-One team without modifying the Orchestrator or other agent prompts.
A data scientist deploys the Coder and ComputerTerminal agents inside Docker containers to automate a recurring data transformation pipeline that fetches files, runs Python processing scripts, and outputs formatted reports.
A research team uses the WebSurfer agent to automate structured data extraction from a set of web pages, navigating pagination and dynamic content without writing custom scraping code.
A developer evaluates Magentic-One's modular architecture as a reference implementation when designing a proprietary multi-agent system for an internal knowledge retrieval and summarization workflow.
A university researcher uses AutoGenBench to conduct isolated, reproducible evaluations of different LLM configurations within the Magentic-One architecture, comparing GPT-4o and o1 performance on web-based task completion.
Autonomous AI agent by Butterfly Effect that independently executes multi-step workflows including web research, file management, code execution, slide creation, and report generation, with a credit-based freemium model.
OpenAI's autonomous AI agent within ChatGPT that plans and executes multi-step tasks including web browsing, code execution, and file management.
Open-source Python framework with 52k+ GitHub stars for building autonomous AI agents with multi-agent orchestration, browser automation, MCP support, and custom tool integration.
ChatGPT Atlas by OpenAI integrates agentic AI directly into browser automating search, analysis, task execution, content synthesis across all websites.
