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.
Aurora Proposes a Manifesto of Sustainable AI — with Memory, Identity, and Development
A manifesto on "sustainable AI" was published on Habr AI: the author proposes evaluating systems not by benchmarks, but by their ability to maintain identity…
Machine Learning Mastery showed how to build AI agents in Python with Pydantic AI
Machine Learning Mastery released a practical guide on Pydantic AI: how to get structured responses, connect tools, implement dependencies, and build more reliable…
Hugging Face adds DeepInfra to Inference Providers for unified model API
Hugging Face connected DeepInfra to Inference Providers: DeepSeek, Kimi, and GLM models can now be run from Hub pages, via SDK, and through the unified router…
Redpine raises €6.8M from NordicNinja for API of licensed data for AI agents
Raft shows how companies can evaluate AI agents before deploying in workflows
Veai showed how to test AI agent in JetBrains IDE without model dependency
Kakao Mobility Reveals Level 4 Autonomous Driving Roadmap and Physical AI Strategy
OpenAI Banned Codex from Talking About Goblins and Pigeons in AI Agent Instructions
OpenAI's Codex system instructions contained a direct ban on mentioning goblins, trolls, and pigeons—likely due to the model's peculiar behavior in agent mode.
How Cursor Built a Prototype in Three Days for $180 That Divided the Development Team
At a large IT company, an architect built a working prototype in three days and $180 using Cursor, while the team spent three months on a more reliable module that…
VK shows DataCopilot — multi-agent system for corporate data and documentation
Machine Learning Mastery released a guide on context engineering for reliable AI agents
Salesforce shows the future without screens: AI agents lead to disposable interfaces
Alibaba Launches AI Agents for Small Businesses to Automate Cross-Border Commerce
Google Antigravity: How to Connect Rules, Skills, and Workflows for Reliable AI Agents
Google Antigravity examined how to assemble a robust QA pipeline through rules, skills, and workflows: an agent checks Python code, refactors it, and prepares tests…
AWS Shows How Amazon Nova Act Automates Competitor Price Monitoring
AWS described a system based on Amazon Nova Act that concurrently visits competitor websites, collects prices and promotions in structured form, and helps make…