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.
Replit launched parallel agents: an app, a video, and a pitch deck at the same time
A developer created a mobile app, an ad video, and a pitch deck for a travel startup in a single session — using Replit’s new parallel agent
Gopuff launched Grok-based AI agent Go — it handles voice, photos, and text
Fast-delivery service Gopuff, together with xAI, integrated the Grok-based AI assistant Go into its app — it understands customers' text, vo
Google DeepMind launches a $10 million fund to study the collective behavior of AI agents
eToro integrated xAI models into Tori agent for real-time market sentiment analysis
6 no-code tools for AI developers: from RAG to multi-agent systems
AWS open-sourced Agent-EvalKit: systematic evaluation of AI agents in six phases
AWS showed how to build an AI assistant for equipment repair on Bedrock AgentCore
AWS released a guide to building an AI assistant for diagnosing agricultural machinery on Amazon Bedrock AgentCore — with RAG, session memor
AWS launches Neuron Agentic Development to automate AI kernel development
AWS has unveiled Neuron Agentic Development, a suite of AI agents that automate compute kernel optimization for Trainium and Inferentia chip