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.

Local Vision for z.ai GLM-5.1: 8B Model Closes 70% of the Gap to the Frontier
An author demonstrated how to add local vision to a low-cost coding agent based on z.ai GLM-5.1 via an MCP server and qwen3-vl:8b, enabling it to verify the…

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…

Poolside released Laguna XS.2 and M.1 — open models for agentic programming

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
Kakao Mobility plans to develop Level 4 autopilot in-house, build a safety platform, and prepare open datasets, maps, and APIs for the autonomous transportation…

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.

China blocks Meta's acquisition of Manus, a profitable AI startup from China

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

Amazon launches OpenAI products on AWS after review of Microsoft exclusive partnership
AWS has already opened preview of new OpenAI products: models, Codex, and Bedrock Managed Agents are now available in Amazon Bedrock following OpenAI's removal of…

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…









