AI Agents
AI agents are LLM-powered systems that don't just answer — they plan steps, call tools and drive a task to completion: writing code, searching the web, booking, analyzing. 2026 became the year of agents, from coding agents to autonomous researchers. This page gathers all our coverage of agentic AI: launches, protocols (MCP, A2A), reliability and real-world use.
How AI agents will transform data analysts' work in 2026
AI agents will change the work of data analysts in 2026, but they will not replace people. Instead, they will make them faster and more effi
5 small open models with tool calling: agents that don't need the cloud
Compact language models can now invoke functions and use tools without cloud services, while remaining open and low-cost.
Amazon Nova Sonic: how to build real-time voice streaming applications
Secure browser for AI agents: how AWS Bedrock uses Chrome policies
Stream Vision Agents with Amazon Nova 2 Sonic: voice bots for production in minutes
How to choose an AI agent architecture: a decision tree from Machine Learning Mastery
How to build an MCP-style system for intelligent AI agents
A complete guide to building an AI agent system that opens the right tools on its own, routes tasks, and executes them step by step.
Managing AI agents is now easier: the best open-source interfaces
User-friendly open-source tools with graphical interfaces have emerged for managing a fleet of AI agents. They help build task pipelines and