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.
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 transp
AWS showed how Amazon Bedrock AgentCore Gateway connects to private APIs and services
AWS showed how Bedrock AgentCore Gateway, via Resource Gateway, gives AI agents access to private APIs and services inside a VPC in managed
Amazon unveiled an agentic analytics architecture based on SageMaker, Athena, and Quick
AWS described an architecture in which Amazon Quick, with agentic AI on top of SageMaker, Athena, and S3, lets business users ask questions
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
AI Independence Bench compared 49 models and measured their resilience to user pressure
Python developer reined in Claude Code with a public anti-regression config
A solo developer at CREATMAN built a configuration for Claude Code that keeps the agent from straying beyond the task and breaking projects
Perplexity turned AI search into an agent that builds Excel files and checks data on its own
In seven minutes, Perplexity Computer assembled a four-sheet Excel file with 33 sources, wrote its own Python script, and showed how AI is m
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
Habr AI Demonstrates How Reflex Architecture for LLM-Agents Eliminates Lag Down to 60 FPS
How to turn OpenAI Codex into a full AI agent for real-world development: 5 practices
API, MCP and MCP Gateways: Distinguishing Interfaces and Protocols for AI Systems
API and MCP are often mentioned together, but they represent different levels of integration: one connects applications, the other helps AI
Meta Develops AI Agents for Individuals and Business Based on Muse Spark Model
Meta, through its Superintelligence Labs division, is preparing personal and business agents based on Muse Spark to simplify task automation