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.

Contextual amnesia: why AI agents in 2026 forget everything they knew yesterday
In 2026, AI agents work like senior developers, but each new session starts from a blank slate — with no memory of decisions, mistakes, or t

Colleague Skill: how a Chinese project digitizes employees before dismissal
The Chinese project Colleague Skill proposes turning employees' work into training datasets for AI even before they are dismissed — and that

H Company introduces Holo3 — an AI agent for computer use with a record score on OSWorld-Verified

AWS showed how to restrict AgentCore AI agents' access to approved domains only

OpenClaw takes Chinese AI services abroad and boosts low-cost token exports

VkusVill launched AI agents as digital employees on the OpenClaw platform

Anthropic and MCP: why AI agents lose focus when given too many tools
Connecting large numbers of MCP tools turned out to be a trap: AI agents get overloaded with context, and working architectures are moving t

OpenClaw added “dreaming” for AI agents and brought them closer to digital employees
OpenClaw launched a dreaming mode for AI agents: at night, they select important knowledge, forget the noise, and enter a new session with m













