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.
Amazon Bedrock Adds Three Ways to Manage AI Agent Tools
AWS Bedrock offers developers a choice between a Docker sandbox, managed Code Interpreter, and an Anthropic SDK-compatible proxy for calling
LangChain optimized Deep Agents for different models: +10–20% performance gain
Deep Agents now have model-specific profiles that tailor behavior to OpenAI, Anthropic, and Google models. On the tau2-bench benchmark, this
Google unveils Gemini 3.5 — a model that automates complex tasks
LangChain Unveiled Automatic Debugging and One-Line Deployment at Interrupt 2026
Figma Embeds Its Own AI Design Agent Directly Into the Collaborative Canvas
LangChain Adds Interpreters to Deep Agents — Code Management Between Tool Calls
Cursor 3: A Unified Development Workspace for AI-Powered Agents
Cursor 3 is a new development interface for working with AI agents. The workspace supports parallel work of multiple agents, synchronization
Jensen Huang Unlocks a $200 Billion Market for Nvidia in AI Agent Processors
Nvidia CEO Jensen Huang predicts a new $200 billion market for AI agent processors—a major growth opportunity as autonomous agents become ma