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.
Anthropic, OpenAI, Google, and Microsoft have launched an AI platform war instead of a model race
The AI market is shifting from a model race to a platform battle: it now matters to control not only the models themselves, but also agent e
OpenGrall introduces “Engineer” mode: robot writes drivers and configures modules on its own
OpenGrall has added an “Engineer” mode: via text command, the robot can create plugins, write code for new hardware, and calibrate modules,
Narwhal Labs faces complaints over sexist AI advertising in the UK
Rede Mater Dei deployed 12 AI agents on Amazon Bedrock AgentCore and achieved 517% ROI
IBM Research analyzed where AI agents break down on APIs, documents, and rules in VAKRA
Alibaba releases Qwen3.6-35B-A3B — a multimodal MoE model focused on agentic coding
Evan Armstrong: why the context layer is changing the economics of enterprise software and hiring
Technology analyst Evan Armstrong argues that with the arrival of AI agents, value is shifting from standard SaaS applications to the contex
Habr AI suggested using news sentiment as a trading signal for the crypto market
Habr AI described an approach in which shifts in sentiment across news and social media are used as a trading signal for the crypto market i