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.

AI Agents as Office 'Colleagues': Why This Is a Flawed Metaphor — MIT Technology Review
MIT Technology Review explains why companies are wrong to call AI agents 'colleagues' and 'subordinates' at work, and why this trendy metaphor is dangerous in…

MIT: Professor Phillip Isola Explained What Agentic AI Really Is
MIT CSAIL associate professor Phillip Isola explained in an interview with MIT News how real AI agents differ from the marketing hype around the trendy term agentic…

How AI Agents Manage Context Windows in Long Tasks: Five Strategies
Machine Learning Mastery breaks down five practical strategies for managing context windows for AI agents that run for hours and hit model token limits.

Typhoonminigen 2.0: Open-Source macOS App for Local FLUX.2 Klein Generation

Authentication in the MCP protocol in 2026: past, present, and future

Neuroanalytic 2.0 in Yandex DataLens: overview of an AI agent for data analysis

How to evaluate AI agent libraries: the example of transformers and traces over answers

Context engineering: why AI agents get confused in long dialogues and how to fix it
An overview of a new field in AI agent development — context engineering, which solves the problem of LLM response degradation in long scenarios with RAG, tools and…

AMD Shows How to Run AI Agents on PCs with 128 GB of Memory
AMD published a guide for deploying the open OpenClaw agent on Windows PCs with RyzenClaw and RadeonClaw configurations.

RPA and AI agents in corporate architecture: not instead, but together

OpenClaw skills: installation, creation, and protection against 341 malicious sets

AgentOps: Operational Discipline for AI Agents in Production

Amazon Bedrock AgentCore Gateway: managing MCP servers at scale

Autonomous AI agents create critical data loss risk in DevOps
AI systems can automate breaches and data theft faster than people can respond. DevOps security requires reassessment.

Visa integrates ChatGPT for autonomous shopping by AI agents via smartphone
Visa connected its payment infrastructure to ChatGPT, allowing AI agents to recommend products and complete transactions without human involvement.









