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 ...

Dapr recently introduced Dapr Agents, a framework for building scalable, resilient AI agents using Large Language Models (LLMs). It enables structured workflows, multi-agent coordination, and ...

What if you could design a system where multiple specialized agents work together seamlessly, each tackling a specific task with precision and efficiency? This isn’t just a futuristic vision—it’s the ...

The landscape of artificial intelligence is undergoing a significant transformation. As the capabilities of large language models grow, we are beginning to see a shift away from isolated ...

Hermes Agent is an open source system positioned as an alternative to OpenClaw, focusing on workflow automation and cross-platform functionality. According to Alex Finn, Hermes Agent stands out for ...

For too long, enterprises have failed to go beyond the view of AI as a product; an assistant that sits to the side, helping users complete tasks and delivering incremental productivity gains. This ...

Let’s get started with the frameworks and know about them in depth. Langchain is an open-source framework that enhances and simplifies the development of apps powered by large language models (LLMs) ...

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 ...

How do you balance risk management and safety with innovation in agentic systems -- and how do you grapple with core considerations around data and model selection? In this VB Transform session, ...

Developing end-to-end bioinformatics workflows is challenging, demanding deep expertise in both genomics and computational techniques. While large language models (LLMs) provide some assistance, they ...

Agentic artificial intelligence (AI) frameworks are in vogue. However, implementing such systems in scientific research workflows requires clear motivations and explanations, given the risk of wasting ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As the CTO of an AI-native email management startup, I've spent the past year building multi ...