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.
Habr AI described the architecture of a reflective agent: less autopilot, more self-checking
Habr AI showed how a reflective agent works: with drafts, pauses, rollback, and mandatory self-checks before acting on code, data, and business processes.
Google DeepMind Introduces AI co-clinician System for Doctors and Telemedicine
Google DeepMind launched a research AI co-clinician system that helps doctors with clinical questions and is being tested in telemedicine, but is not intended for…
BlackRock speeds up product launches with AI: prototypes for Aladdin are now built in days
BlackRock COO Rob Goldstein said the company is already using AI to build working prototypes in days instead of months and to improve transparency in private…
VS Code 1.111 launched Autopilot: AI agent writes, tests, and deploys on its own
OpenAI is devoting its core resources to building a fully autonomous AI researcher
WordPress.com lets AI agents write and publish content with human approval
Cursor, Copilot, and Claude Code are included in a roundup of 12 popular AI agents for developers
OpenAI, Google, and Tesla set the week's agenda: GPT-5.4 mini, AI Studio, and Terafab
OpenAI opened GPT-5.4 mini to broad access, Google turned AI Studio into an app-building environment, and Tesla promised its own $20–25 billion chip factory.
AI Independence Bench compared 49 models and measured their resilience to user pressure
The new benchmark, AI Independence Bench, tests whether 49 language models can maintain their own stance, avoid apologizing without reason, and not agree with the…
Perplexity turned AI search into an agent that builds Excel files and checks data on its own
GitAgent offers a unified AI agent format for LangChain, AutoGen, and Claude Code
AI agents vs RAG: how ReAct works and why multi-agent systems are needed
OpenClaw broke multi-agent work down into three modes: standalone agents, subagents, and ACP
Capsules for AI-Agents: How Packaged Developer Experience Becomes Machine Knowledge
The capsule framework's author demonstrates how a capsule's rigid structure — context, constraints, and history — becomes the ideal format for an AI-agent, not just…
Australia's APRA regulator warns banks of gaps in AI-agent oversight
Australia's APRA regulator has warned banks and pension funds: AI-agents are already being integrated into client and internal processes, but oversight, audit, and…