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.
Why Claude 4.6 Isn't Enough Without Context: The Main Blind Spot in LLM Development
Even a strong model like Claude 4.6 loses effectiveness without systematically gathered context: a knowledge base, links between services, a
Why Yann LeCun's world model idea does not solve the main crisis in LLM development
After Yann LeCun's departure from Meta, his world model concept is once again being discussed as a path beyond LLMs, but critics argue that
Intel warns: agentic AI has moved beyond its "childhood" stage and requires a new control model
Agentic AI is moving from chatbots to autonomous actions, and companies now need not broad policies but process-embedded guardrails, audit,
Tailscale acquired Border0 to protect enterprise networks from the influx of AI agents
Yandex at AI Dev Day Showed How AI Is Already Changing Development at Avito, Ozon, and T-Bank
Microsoft merges enterprise and consumer Copilot teams for a unified platform
Appeals court temporarily lets Perplexity keep Comet shopping bots running on Amazon
OpenAI Released GPT-5.4 Mini and Nano — Near-Flagship Quality at Lower Cost
OpenAI introduced compact models GPT-5.4 mini and nano: they run noticeably faster than the flagship version, but match it in quality on num
AWS selected 12 European AI startups and warned of the risk of an innovation drain from the region
Amazon Web Services included 12 European AI companies in Pioneers Project — from leukemia diagnostics to strike warnings — and warned of the
Anthropic explained how to build skills for Claude Code and why teams need their own marketplace
Nvidia open-sourced OpenShell, a secure environment for autonomous AI agents
A2A Protocol: How Google Standardizes Orchestration of Multi-Agent AI Systems
SAP reshapes AI strategy: new teams and pay-per-use instead of subscriptions
OpenClaw: How to Run an AI Agent on Your Server Without Sending Production Code to the Cloud
Habr tested OpenClaw on a dedicated server: the agent is installed via script, works with Telegram and search, but requires strict control o
Raspberry Pi 5 and openLight: why typical AI agents overload small hardware
The author explains why popular AI agent frameworks are a poor fit for Raspberry Pi 5 and built openLight — a lightweight runtime in Go with