As complements to live strategy sessions, LLM-powered ABMs are easy to use, cheap to deploy, and scalable. As a result, they ...

In this video, you'll learn how to build an AI agent from scratch in Python. I'll walk you through everything step-by-step.

With agent mode, developers chat with Visual Studio using natural language to instruct it to complete multi-step, complex coding tasks autonomously.

Deploying agents for multi-agent ecosystems Once developers have built agents, they need to deploy them. Agent Engine provides a fully managed runtime for deploying agents in production.

Microsoft researchers have unveiled a new open source multi-agent AI system, Magnetic-One, aimed to help enterprises automate complex tasks typically requiring human intervention.

Multi-agent AI systems (MAS) represent the next step in productivity gains unlocked with the help of AI. MAS vary in complexity from a linear workflow where agents are connected in a chain similar ...

Vertex AI is also getting a new Agent Engine for deploying and maintaining agents or multi-agent systems.

The framework is designed to accommodate both simple and complex use cases, from single-agent systems to multi-agent applications that can communicate and share state.

The First Massive Autonomous Economy Simulation of Its Kind DXTerminal boasts the largest live AI multi-agent simulation ever built, capable of hosting up to 1,000,000 autonomous traders.

For professionals like the Lead AI Engineer or Senior AI Engineer, the Mistral Agents API represents a powerful addition to their AI toolkit.