But in practice, prompt iteration has historically felt disjointed and slow. Makers previously balanced their flow of work ...

Amazon S3 Files mounts any S3 bucket directly into an agent's local environment, giving AI agents native file system access ...

Why Multi-Agent Systems Outperform Traditional AutomationEnterprises have squeezed value from automation by codifying workflows, eliminating repetitive tasks and streamlining handoffs for more than a ...

Multi-agent systems, like microservices, can be powerful. But most enterprises risk adding distributed complexity long before ...

Microsoft has released version 1.0 of its open-source Agent Framework, positioning it as the production-ready evolution of the project introduced in October 2025 by combining Semantic Kernel ...

As AI-assisted coding becomes more common, a new pattern is emerging: multi-agent workflows. A multi-agent workflow refers to using various AI agents in parallel for specific software development life ...

Git-native, multi-model AI agent framework giving Fortune 50/100 CIOs a central control plane, converting any agent ...

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 ...

Multi-agent orchestration makes workflow more inspectable, with clear handoffs and a QA backstop. Breaking the work into discrete steps makes the output easier to audit and fix. A timestamped handoff ...

With the rise of AI agents, AI programs that can perform tasks for you without being explicitly told how to carry out every individual step, a problem has arisen. It's an old one in tech circles: ...