Big enterprises require multiple AI agent systems to execute complex tasks that are handled by humans. Microsoft has launched Magentic-One: A Generalist Multi-Agent System that will be a rival to frameworks such as Salesforce’s Agentforce or IBM’s Bee Agent Framework.
Magentic-One will allow a single AI model to power various helper agents that work together to do complicated tasks in different situations. Microsoft calls Magentic-One a generalist agentic system that can “fully realize the long-held vision of agentic systems that can enhance our productivity and transform our lives.”
The tech giant wants big companies to believe that its new multi-AI agent system will enable them to automate intricate tasks that previously required human assistance.
Magentic-One uses a multi-agent system where one central agent, called the Orchestrator, coordinates four other agents to complete a task.
“The Orchestrator plans, tracks progress, and re-plans to recover from errors while directing specialized agents to perform tasks like operating a web browser, navigating local files, or writing and executing Python code,” said Microsoft in its blog post.
Interestingly, Microsoft developed Magentic-One using OpenAI’s GPT-4o — OpenAI is, after all, a Microsoft investment. It is LLM-agnostic, though the researchers “recommend a strong reasoning model for the Orchestrator agent, such as GPT-4o.”
Magentic-One allows for the use of different models behind each agent. For instance, developers can deploy a reasoning LLM (large language model) for the Orchestrator agent, while assigning a variety of other LLMs or smaller language models to the other agents.
At last, the tech giant warned developers to not provide the agent access to sensitive data or any resources that could potentially be vulnerable to compromise.
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