Imagine trying to juggle multiple tasks at once—researching, writing, editing, and organizing—all while keeping everything running smoothly. It’s a lot, right? Now imagine having a team of specialized ...
Today, multi-agent systems (MAS) have emerged as transformative technologies, driving innovation and efficiency across various industries. Comprising multiple autonomous agents working collaboratively ...
Today at AI Council 2026, Keycard, the provider of identity and access for AI agents, announced Keycard for Multi-Agent Apps, extending its platform to support delegated, session-based access across ...
Yugabyte, the distributed AI database expert, is debuting Meko, an agent-native data infrastructure designed specifically for multi-agent AI systems that work and learn together.
The Minimax Mavis Agent, as presented by Prompt Engineering, introduces a multi-agent system designed to address inefficiencies in traditional workflows. By assigning distinct roles to specialized ...
UIUC and Stanford's RecursiveMAS lets AI agents collaborate in embedding space instead of text, cutting token usage by 75% ...
We just can’t seem to help ourselves. Our current infatuation with multi-agent systems risks mistaking a useful pattern for an inevitable future, just as we once did with microservices. Remember those ...
The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...
Forbes contributors publish independent expert analyses and insights. Joanne Chen is a General Partner at Foundation Capital. May 24, 2024, 04:48pm EDT May 24, 2024, 05:05pm EDT I recently spoke with ...
How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...
Autonomous agents are software or robotic entities endowed with sensing, reasoning and action capabilities that enable them to achieve objectives in dynamic environments without continuous human ...