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.

eToro launched Tori AI agent powered by Grok models for market sentiment analysis
Investment platform eToro launched Tori, an agent powered by xAI's Grok models and the real-time SpaceXAI data feed, to help retail investor

Google DeepMind launches a $10 million fund to study the collective behavior of AI agents
Google DeepMind and its partners have created a $10 million research fund to understand how millions of AI agents interact in groups and wha

AWS open-sourced Agent-EvalKit: systematic evaluation of AI agents in six phases

Amazon Bedrock AgentCore Runtime: isolated microVMs for Claude Code, Codex, and Cursor

Amazon Quick generates incident RCA brief from a single prompt via New Relic and Asana

Amazon Bedrock AgentCore automates initial intake of insurance claims

Voice AI agent lied to customers and mixed up callers — developer found the cause wasn’t in the prompt
For three months, a developer fixed bugs in a voice AI agent: lies about administrators, mixed-up callers, and a fake voice — all solved by

Inside an AI agent: seven tools that turn an LLM into an executor
Give a language model a terminal, a file system, and internet access, and it becomes an agent — we break down how to add seven tools and tea













