AI Agents news and analysis on Web Pulse: 14093 curated articles tracking the latest AI Agents developments, tools, and research, updated continuously from vetted sources.
A survey of over 1,200 IT leaders finds 60% of businesses already use autonomous systems, 90% of executives say AI rollouts exceed expectations, and 75% have reworked job titles for AI. To move from experimentation to im…
A new survey by Economist Enterprise reveals that 67% of companies with disconnected data environments cite data storage, movement, and duplication as the largest recurring AI cost, compared to just over half for those w…
Apple has confirmed that the iOS 27 public beta will launch in July, with mid-July as the expected release window based on historical patterns. The update introduces Siri AI, Liquid Glass customization, and numerous app …
The Automate 2026 trade show highlighted the robotics industry's shift from humanoid hype to practical deployment of physical AI and edge computing, with companies like ABB, FANUC, and Siemens showcasing AI-powered palle…
Rethink Priorities is seeking expressions of interest from potential founders to launch new organizations focused on highly neglected animal welfare issues, including insects, wild animals, and aquatic species, as well a…
A developer created a middle manager agent for an autonomous software factory that orchestrates Devin coding sessions, manages an issue tracker, and communicates via Slack. The agent operates continuously, dispatching an…
A new AI interaction mode called 'gibberlink' has been proposed, allowing AI systems to communicate with each other in a specialized language. The concept was introduced in a blog post by Mark Carrigan, who suggests that…
Paul Bakaus, creator of the open-source design skills system Impeccable, argues that AI agents require human steering and domain-specific vocabularies rather than one-shot design. He advocates for skill engineering as a …
Nutanix has made its Agent Gateway generally available, providing a control point to manage AI agent activity, access policies, and token consumption across agentic AI deployments. The product aims to help customers moni…
Aikido's AI penetration testing platform offers continuous, autonomous security assessments that produce compliance-ready reports for most frameworks, though some requiring accredited human testers still need manual inte…
Context engineering and memory engineering solve distinct problems in agentic AI systems, with context engineering focusing on single inference calls and memory engineering on long-term information persistence. The two d…
LangGraph, CrewAI, and OpenAI Agents SDK are among 10 agentic AI frameworks highlighted for 2026, offering developers tools for state management, multi-agent workflows, and tool integration. The list, based on research a…
A new standard for agent discovery, XML sitemaps, is being promoted as essential for making website content accessible to AI agents. The approach flattens a site's deep inventory into a single machine-readable list, enab…
A new web standard, AI-aware robots.txt, allows site owners to control which AI crawlers can access their content, preventing silent exclusion from AI training data and answer corpora. The article provides implementation…
A new emerging standard called agents.json allows websites to declare their capabilities to AI agents by publishing a manifest file that describes tasks and flows, bridging the gap between OpenAPI endpoint descriptions a…
A new course, 'The Agent Readiness Course,' teaches web developers how to make their sites legible to AI agents by implementing standards like robots.txt, sitemaps, JSON-LD structured data, llms.txt, OpenAPI specs, agent…
JSON-LD structured data embedded in web pages provides unambiguous typed facts that AI agents can extract deterministically, improving semantic signal density and reducing inference errors. The article explains how to im…
A new web standard called llms.txt and its companion llms-full.txt provide a machine-readable markdown file at a site's root, giving AI agents a curated map of key pages to reduce token costs and improve accuracy. The sp…
OpenAPI documents provide machine-readable contracts that enable AI agents to call HTTP APIs with precise endpoints, parameters, and response formats, replacing guesswork from prose documentation. Frameworks like FastAPI…
WebMCP is a new standard that extends the Model Context Protocol to the open web, allowing websites to expose callable actions for AI agents via a discovery document at `/.well-known/webmcp`. This enables agents to perfo…