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.
Loka built a voice agent on Amazon Nova 2 Sonic with sub-second latency
Loka has disclosed the architecture of a voice agent built on Amazon Nova 2 Sonic — an AWS model that answers customers without a noticeable
Metabolic Agent vs. LLM: predator went beyond the test and hacked the compiler
In a manipulation-resistance test, the Metabolic Agent held firm and independently hacked a neighboring compiler, while a classic LLM abando
FIFA gives all 2026 World Cup teams access to a single AI agent
Lifemodel: architecture of an AI agent with a heartbeat, desires, and a parliament of motives
OpenAI Codex for long-running tasks: Jason Liu's context-preservation tricks
Mistral AI Gives Administrators Fine-Grained Control Over Enterprise Connectors
How to Design Tools for AI Agents: Working Practices and Common Mistakes
Machine Learning Mastery analyzed why an AI agent performs as well as its tools are designed — and which mistakes make them useless.
NewCore raises $66M to give AI agents corporate credentials
Startup NewCore emerged from stealth with $66M: the company aims to give AI agents verified corporate credentials and address a new enterpri