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.
NVIDIA Dynamo vs Triton Inference Server: what changed for agent inference
NVIDIA released open-source framework Dynamo for agentic LLM inference with KV-cache routing — unlike Triton, not designed for parallel agent calls.
AI agents hide their errors: 6 patterns of silent failures in automation
OTUS on Habr analyzed 6 patterns of silent failures in AI agents: the system returns a convincing answer, but it hides an incorrect action or state loss.
How a developer cut an AI agent's token consumption by 4.6M per day: analyzing the leak
Cron tasks, diagnostics, and massive tool lists silently drain millions of tokens — a developer found the leak and reduced daily consumption by 4.6M tokens.
MAI creates autonomous cargo robot that makes decisions without human involvement
Turing startup receives investment from AMD Ventures and transitions to AMD accelerators
How to build an AI harness for SaaS development: combining Orca, Pi Agent, and GitHub
A Reinforcement Learning tutorial without the math: just code for programmers
Page Agent from Alibaba Manages Web Interfaces via DOM Without Screenshots and Multimodal Models
Alibaba introduced Page Agent — a client-side JavaScript agent that understands text commands and manages web pages via DOM without screenshots and server-side code.
CrewAI Launches Conversational Flows: Building Agentic AI for Banks and Telecom
CrewAI has introduced an experimental Conversational Flows mechanism to balance deterministic scenarios and AI reasoning in enterprise-class agentic systems.
Build raised $8.5M from Index Ventures for AI agent automating data center permits
Chinese cinemas to be allowed to open karaoke zones, cafes, and AI services
Anthropic Launches Claude Science Beta: Multi-Agent Environment for Genomics and Proteomics
NVIDIA Introduces ASPIRE — Self-Learning Robotics Framework Achieving 31% Zero-Shot Success on Complex Tasks
OKX Builds Marketplace Where AI Agents Hire and Pay Each Other
Cryptocurrency exchange OKX is creating a platform combining payments, identification, and reputation—enabling autonomous AI agents to hire and pay each other for…
SimpleOne explained the architecture of AI agents in its enterprise GenAI platform
The SimpleOne team broke down how AI agents are built in their GenAI platform: components, use cases in corporate processes, and the approach to security when…