Multi-agent AI systems can now pass messages, invoke tools, and hand work off between specialized components. Yet in many deployments, those agents still fail to truly work together. They execute tasks in sequence, but they don’t share a common understanding… Read More »From Message Passing to Shared Minds: Cisco Outshift’s ‘Internet of Cognition’ for AI Agents
Airtable is extending its data-first approach into the world of AI agents with Superagent, a standalone research agent designed to coordinate teams of specialized models. Rather than presenting another generic “AI copilot,” Superagent focuses on a specific problem many data… Read More »Inside Airtable’s Superagent: A Context-Aware Orchestrator for Multi-Agent Research Workflows
Multi-agent AI is having a moment in the enterprise. From AI “teams” of coding assistants to fleets of specialized financial agents, the implicit promise is that more agents, more tools, and more collaboration will reliably deliver better outcomes. New research… Read More »When Multi-Agent AI Helps — and When It Hurts: Lessons from New Google–MIT Research