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.
5 AI agents wrote an article about 5 AI agents: how to scale content
Ksenia Ivanchikova from Generation AI created a pipeline of 5 AI agents that turns 20-minute YouTube talks into finished case studies — and
Skills for AI agents: why they conflict with each other
When new skills are added to AI agents, unexpected conflicts often arise: one triggers all the time, another is ignored, and a third interfe
Google tests AI agent Remy to compete with OpenAI
Intruder created an AI agent that conducts pentests in minutes instead of days
LazyWeb connects AI agents to the designs of 257,000 real apps
Alibaba integrated Qwen AI into Taobao and Tmall for agentic shopping
Vercel Labs introduces Zero — a language for AI agents to write, fix, and ship code
Vercel released Zero — a programming language where the compiler outputs JSON instead of text so AI agents can independently write, fix, and
How Memori creates persistent memory for agents and multi-session LLMs
Memori is a memory infrastructure for LLM applications that lets agents retain context across sessions and work with multiple users at the s