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.
The dispute over chardet showed how AI is changing the rules of open source and code licensing
The chardet library case has become a stress test for open source: can AI be used to rewrite a project from scratch, change its license, and treat the result as new…
Habr AI explains how coding agents use memory, tools, and repository context
Habr AI's piece shows why the quality of a coding assistant depends not only on the model, but also on the harness, memory, tools, and access to the actual…
Google Antigravity: five useful use cases beyond code — from research to database work
Google presents Antigravity as more than a coding IDE: the platform is already suitable for research, interface documentation, parallel agent work, and database…
OpenClaw in production: Docker, Kubernetes, and fault tolerance under peak loads
Koda updated koda-cli 0.3.1: the assistant can now be integrated into a development environment
KDnuggets showed how to run Qwen3.5 on an old laptop with Ollama and OpenCode
Apple and Qualcomm develop AI agents with guardrails and mandatory confirmation
LangChain introduced Deep Agents — a layer on top of LangGraph for long-running and complex tasks
LangChain released Deep Agents, a Python library on top of LangGraph that adds planning, subagents, a file system, and memory, so developers do not have to assemble…
OpenClaw: how to build a local, secure runtime for AI agents without using the cloud
A new OpenClaw guide shows how to set up a local-first runtime for an AI agent: a gateway on loopback, model access via environment variables, controlled exec, and…
Codex Turned Into a Personal Assistant With Memory on Markdown, Git, and Telegram
Linus Torvalds approved AI code rules for Linux: humans bear responsibility
AWS showed how to embed an AI agent's live view in React via Bedrock AgentCore
AWS launches Agent Registry in preview - a catalog of AI agents and tools for companies
Google, Tambo, and GenUI: three approaches to AI interfaces built on the fly
A breakdown of Generative UI shows when AI should not only respond with text, but also assemble an interface: from HTML generation to Google’s A2UI and prebuilt…
Pyotr Tripolsky on Habr showed an AI agent for analyzing news and Bitcoin signals
Pyotr Tripolsky published on Habr a diagram of an AI agent that looks for recent market events, filters out noise, and issues a short-term BUY, SELL, or WAIT signal.