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.
Who Is Responsible for AI Agent Errors: Three Models of Legal Liability
When an autonomous agent makes an error, finding the culprit becomes a legal quest. We examine three liability scenarios — from a simple too
Autonomous agents and a “spy novel”: a new level of human-AI interaction
The story of how the OpenClaw platform and Anthropic models turned routine development into a compelling process of creating digital persona
OpenAI unveils Codex Security: an AI agent for finding and fixing vulnerabilities
OpenAI unveils Codex Security for automated detection and remediation of code vulnerabilities
AI assistants for coding: from autocomplete to autonomous agents
Your own cloud LLM: how to fit within 16 GB of VRAM
AWS teaches Strands Agents to work with any model on SageMaker
Amazon showed how to connect language models deployed on SageMaker to the Strands Agents framework, even if they do not support the standard
AI learned to unmask anonymous social media accounts
Researchers at ETH Zurich and Anthropic created a system of AI agents capable of linking anonymous accounts to real people. The era of secur