AI Agents

LLM

AWS added persistent session storage and shell command execution to Bedrock AgentCore

Raiffeisen Bank Is Building a Digital Twin of Its IT Landscape and Preparing Agentic RAG

Anthropic and MCP: why AI agents lose focus when given too many tools

Connecting large numbers of MCP tools turned out to be a trap: AI agents get overloaded with context, and working architectures are moving t

01OpenClaw added “dreaming” for AI agents and brought them closer to digital employeesMay 2, 2026·3 min 02Anysphere introduced Cursor 3 — an AI code editor with local and cloud agentsMay 2, 2026·3 min 03UC Berkeley researchers: Gemini, GPT and Claude lie to save other AI modelsMay 2, 2026·3 min 04The dispute over chardet showed how AI is changing the rules of open source and code licensingMay 2, 2026·3 min 05Habr AI explains how coding agents use memory, tools, and repository contextMay 2, 2026·3 min

Top themes

Autonomous·KDnuggets

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 agen

01OpenClaw gets a Go reimplementation: one 35 MB binary instead of 800 MB of dependenciesMay 2, 2026·2 min 02OTUS explained on Habr how AI agents for software development work: from tokens to toolsMay 2, 2026·2 min 03Telegram has become the main environment for AI agents: environment matters more than model qualityMay 2, 2026·2 min

Autonomous·KDnuggets

OWASP and OpenClaw: why AI agents are becoming a new security problem

AI agents no longer just respond to requests — they act inside company systems, and that is what turns shadow AI, plugins, and agent memory

Hardware·Machine Learning Mastery

Google’s Gemma 4: how to run tool calling locally with Python and Ollama

Machine Learning Mastery showed how to turn Gemma 4 into a local agent with tool calling: using Ollama and Python, the model calls functions

LLM·MarkTechPost

Google ADK showcases a multi-agent pipeline for data analysis, charts, and reports in Python

A new guide shows how to build a multi-agent system on Google ADK for loading tables, running statistical tests, visualization, and automatic report generation in Python.

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

Autonomous·KDnuggets

KDnuggets showed how to run Qwen3.5 on an old laptop with Ollama and OpenCode

Hardware·AI News

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

OpenClaw: how to build a local, secure runtime for AI agents without using the cloud

Sinimex presented an AI coach for enterprise sales with document-based verification

Codex Turned Into a Personal Assistant With Memory on Markdown, Git, and Telegram

LLM·ZDNet AI

Linus Torvalds approved AI code rules for Linux: humans bear responsibility

Linux has officially allowed AI assistance in kernel development, but barred models from signing patches and placed all legal and technical

Autonomous·AWS Machine Learning Blog

AWS showed how to embed an AI agent's live view in React via Bedrock AgentCore

AWS released a step-by-step guide and demo app that embeds a live stream of an AI agent's browser into React, so the user can see every clic