AI-агенты
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.
KDnuggets showed how to run Qwen3.5 on an old laptop with Ollama and OpenCode
KDnuggets released a practical guide to running Qwen3.5 4B locally on an old laptop: with Ollama and OpenCode, you can build a private AI en
Apple and Qualcomm develop AI agents with guardrails and mandatory confirmation
Apple and Qualcomm are advancing assistants that can navigate apps and prepare purchases, but they are not given full freedom: money, accoun
LangChain introduced Deep Agents — a layer on top of LangGraph for long-running and complex tasks
LangChain released Deep Agents, a Python library on top of LangGraph that adds planning, subagents, a file system, and memory, so developers
AWS Shows How to Build a Virtual Fitting Room for Retail on Nova Canvas
OWASP SAMM gains Agentic SAMM extension for secure development with AI agents
Senar: why AI agents do not replace programmers and are changing the development process
Cisco, PwC and Wyndham showed how they are actually retraining employees to work with AI
Google, Tambo, and GenUI: three approaches to AI interfaces built on the fly
A breakdown of Generative UI shows when AI should not only respond with text, but also assemble an interface: from HTML generation to Google
Pyotr Tripolsky on Habr showed an AI agent for analyzing news and Bitcoin signals
Pyotr Tripolsky published on Habr a diagram of an AI agent that looks for recent market events, filters out noise, and issues a short-term B
AWS makes new Spring AI SDK for Amazon Bedrock AgentCore generally available
SAP integrates agentic AI into SuccessFactors for hiring, payroll, and HR management
Microsoft may introduce separate Office licenses for AI agents, as it does for employees
KDnuggets selected the five best books of 2026 for building agentic AI systems
Habr AI: why creating sentient AI may be more dangerous than enhancing the human brain
In a Habr AI column, the author argues that developing sentient AI carries greater ethical and existential risks than neural interfaces and
Anthropic, OpenAI, Google, and Microsoft have launched an AI platform war instead of a model race
The AI market is shifting from a model race to a platform battle: it now matters to control not only the models themselves, but also agent e