More than machines: The inner workings of AI agents

Artificial intelligence agents powered by foundation models are revolutionizing problem-solving capabilities. These agents can reason, use tools, and adapt dynamically to complex situations, combining powerful perception, decision-making, memory, and action abilities to tackle unpredictable challenges autonomously.

Treating agents as microservices in an event-driven architecture allows organizations to create scalable ecosystems of specialized AI agents that collaborate seamlessly. This approach enables unprecedented flexibility compared to traditional systems. Building infrastructure to manage multiple AI agents will be crucial for organizations looking to leverage this technology effectively by 2025.