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.
Vector Database Comparison in 2026: Nine Systems by Cost, Scale, and Architecture
Nine leading vector databases are now key infrastructure for RAG and agential AI. A review of architecture, cost, and scalability helps choo
How to run an AI agent for infrastructure diagnostics on a MacBook
A local AI agent can handle real infrastructure diagnostics tasks on a low-powered MacBook. A developer on Habr shared their experience: it
Google DeepMind to train AI in war and diplomacy in EVE Online
Google DeepMind will train AI in an offline version of EVE Online, teaching cooperation, war and diplomacy in a complex MMORPG simulation wi
Webidoo raises $25M to scale AI for small businesses
Google unveiled Gemini Intelligence for Android — AI controls apps
Anthropic in talks to raise $30 billion at a $900 billion valuation
The best code didn't win: what the Dev-to-Dev hackathon final says about agentive engineering
BCG trains AI agent Jamie on mistakes, not successes
Boston Consulting Group has launched AI agent Jamie, which learns not only from successful calls but also from the mistakes of the company’s
Financial companies realized: agentic AI requires data readiness
The success of deploying agentic AI in financial companies depends less on the complexity of the algorithms than on data being ready to oper
Deepseek-agent: how to write your own Claude Code in 2,000 lines of code
How to save 70% of Claude tokens with targeted code access
AI agent security in production: a practical guide to Red Teaming
AI agent in one day: a local prototype without the cloud or developers
5 small open models with tool calling: agents that don't need the cloud
Compact language models can now invoke functions and use tools without cloud services, while remaining open and low-cost.
AWS and Cisco address three AI agent security issues when scaling
The AWS and Cisco AI Defense partnership addresses visibility, security, and compliance issues when deploying large numbers of AI agents at