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 ...

In this example, software does not disappear. It becomes the execution substrate that agents orchestrate in the background, like the systems of record (the authoritative systems where core business ...

How companies are moving beyond assistive tools to deploying agentic systems, and marking a fundamental shift in how they ...

By testing agent-to-agent interactions, researchers observed catastrophic system failures. Here's why that's bad news for everyone.

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

Spirent Luma uses a multi-agent architecture and deterministic rule sets to automate root cause analysis in multi-technology network environments.

What if your AI could not only manage tasks independently but also collaborate with a team of specialized agents to tackle complex workflows? Better Stack outlines how the combination of Opus 4.6 and ...

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 ...

What if your AI could think like a hive mind, tackling complex problems with the precision of 100 synchronized agents? In this guide, Sam Witteveen explains how Kimi K2.5’s new Agent Swarm system is ...

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 ...