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.
DeepSeek and Qwen tried to get through "Everlasting Summer," but got stuck in the labyrinth
An experiment with DeepSeek, Qwen, Gemma and gpt-oss showed that local LLMs can already play visual novels via Ren’Py and Ollama, but they s
OpenClaw turned out to be a costly autonomous agent: 81 million tokens and server conflicts
Firsthand experience installing OpenClaw showed that an autonomous AI agent can quickly run into infrastructure conflicts, consume tens of m
PAC1 exposed a weakness in reasoning models: a hardcoded agent passed the benchmark at lower cost
The closed PAC1 benchmark showed that in tasks involving files, JSON, and security traps, a fixed algorithm can sometimes work more reliably
KDnuggets lists seven free web APIs for AI agents and vibe coding
LlamaCloud added LlamaAgents Builder for building and deploying AI agents in minutes
Ring moved support for 10 regions to Amazon Bedrock Knowledge Bases and cut costs
NotebookLM vs. the hype around agents: where companies actually benefit from AI
Renga and AI agents: how a domestic BIM platform's API was compared with Revit
A detailed breakdown of the Renga API has been released: the piece explains the platform's overall logic, compares its approach to automatio
Beeline Cloud compiled unusual AI benchmarks: from escape rooms to playing "human"
Beeline Cloud compiled the most unusual tests for neural networks: from escaping an escape room and phishing defense to design tournaments a
OpenClaw is being turned into a personal operating environment for work and business
Vivo and Daxiao Robotics: a ChatGPT moment for humanoid robots could take up to 10 years
Jensen Huang showed how Nvidia is redefining agentic AI infrastructure
Denodo: autonomous AI systems depend on the quality of enterprise data governance
How Norges Bank Investment Management integrated AI into 171 processes across the fund
Over two years, NBIM, the world's largest sovereign wealth fund, deployed AI in 171 processes, required employees to train, and reorganized
KOMPAS-3D gets an AI agent that builds parts, drawings, and exports DXF on its own
MCP for KOMPAS-3D has grown from a demo into a working AI agent: it now builds 3D parts, manages the feature tree, prepares drawings, and ex