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 Era of AI-Driven Development: Code No Longer Belongs to Programmers
If the author had been born 15 years later, he would not have written a single line of code — and would still have created excellent product
MCP: the protocol that teaches language models to work with the outside world
Model Context Protocol is becoming a key link between large language models and external services. We examine why this protocol is changing
OpenAI and Amazon join forces: agents gain persistent memory in Bedrock
Amazon and OpenAI have introduced Stateful Runtime Environment, a runtime environment for AI agents with persistent memory, orchestration, a
How hackers weaponize AI agents against users
Why AI Agents Lie About the Present: The Problem of Outdated Data
Agentic AI is rewriting the rules of biomedical research
Perplexity Computer: the quiet release that could reshape the AI agent market
Amazon Bedrock AgentCore: smart assistant for events
AWS showed how to deploy a production-ready AI agent with memory and personalization in a matter of hours — without writing custom infrastru
Anthropic acquires Vercept, a startup specializing in computer control
Anthropic acquired Seattle startup Vercept after Meta hired away one of its founders. The company was developing agents that use a computer
Nokia and AWS teach 5G networks to manage themselves with AI agents
How to prepare your product for the era of AI agents — and avoid being left behind
Nimble raises $47M for AI agents’ access to real-time web data
New Relic launches a platform for AI agents and new OpenTelemetry tools
Composio open-sources Agent Orchestrator, a tool for multi-agent systems beyond ReAct
Startup Composio has released an open-source agent orchestrator that tackles the main problem of AI in production: the fragility of simple R
DeepMind: More agents, worse results?
DeepMind researchers have called into question the idea that scaling multi-agent systems leads to higher efficiency. The ceiling may already