Researchers from Google and MIT published a paper describing a predictive framework for scaling multi-agent systems. The framework shows that there is a tool-coordination trade-off and it can be used ...

A ModelScope MS-Agent vulnerability allows attackers to feed malicious commands to AI agents and modify system files or steal ...

Agentic AI means autonomous agents working together, sharing data, and taking action – across different systems and platforms ...

JPLoft advances enterprise automation with intelligent AI agents that streamline operations, enhance decision-making, ...

The resulting outcome is that you have A.I. systems that have learned what it means to solve a problem that takes quite a ...

Bob van Luijt, Co-Founder and CEO of Weaviate—which he launched as an open-source vector search engine in March 2019—shared launch insights. "Weaviate Agent Skills bridges the gap between ...

Visual Studio Code 1.109 introduces structured, multi-agent workflows that move AI assistance beyond single-chat interactions. Parallel subagents enable concurrent task execution without consuming the ...

Since last spring, OpenAI has offered Codex. What started life as the company's response to Claude Code is becoming something more sophisticated with the release of a new dedicated macOS app. At its ...

Traditional processes used to discover new materials are complex, time-consuming, and costly, often requiring years of sustained effort. Recent advances in large language models (LLMs) have ...

Airtable is applying its data-first design philosophy to AI agents with the debut of Superagent on Tuesday. It's a standalone research agent that deploys teams of specialized AI agents working in ...

LangChain releases Deep Agents with subagents and skills primitives to tackle context bloat in AI systems. Here's what developers need to know. LangChain has released Deep Agents, a framework designed ...