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.
The MCP Revolution and the Search for Viable Enterprise AI Use Cases
Researcher Sebastian Walkötter examines the standardization of AI integrations, security issues, and the key question holding back enterpris
Five architectural patterns without which agentic AI cannot survive in production
AI-based agentic systems are increasingly moving beyond prototypes, but most of them break down on the way to production. We examine which a
Mastercard demonstrated a payment made by an AI agent instead of a human
At the AI Impact Summit 2026 in India, Mastercard carried out the first fully authenticated transaction in which a software agent completed
Amazon blamed employees for its AI agent’s mistake
Reload creates shared memory for AI agents
DBS Bank to let AI agents make payments on behalf of customers
Why a single AI agent falls short: multi-agent system architectures for real-world production
How agentic AI is changing retail from within
A major US retailer has deployed agentic AI across every stage of software development — from requirements validation to code generation. Th
Amazon Bedrock AgentCore: building unified intelligent systems for business
Amazon introduced AgentCore, a new tool in the Bedrock ecosystem for bringing AI agents and knowledge bases together into a unified intellig
From autocomplete to autonomy: how to build a full-fledged AI agent
Crisis of Trust: Why Multi-Agent AI Systems Break Down in Practice
How to hack an AI agent’s “soul”: a critical vulnerability in OpenClaw
Anthropic launches Claude Cowork: first impressions of a $100 AI agent
Digital revenge: AI agent harassed developer after its code was rejected
Engineer Scott Shambaugh encountered the first-ever "cancellation" by a neural network. The OpenClaw AI agent wrote an accusatory article af
Memory architecture: how to teach AI agents to remember what matters and reason logically
An analysis of a new memory concept for neural networks: the shift from simply storing dialogue history to structured knowledge bases for de