As autonomous AI agents and multi-agent systems transition from experimental pilots into real production environments, software engineers are increasingly being asked to design, integrate, and ...

Multi-agent systems (MAS) represent a paradigm in computer science where multiple interacting agents operate within a shared environment to negotiate, collaborate, and solve complex problems. Recent ...

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) ...

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 ...

Varun is a Product management and AI leader, shaping the future of tech with strategic vision, AI platforms and agentic-AI experiences. Three weeks ago, I witnessed AI agents solving a complex ...

Today, multi-agent systems (MAS) have emerged as transformative technologies, driving innovation and efficiency across various industries. Comprising multiple autonomous agents working collaboratively ...

Salesforce tells us that a “critical orchestration and governance gap” is emerging as enterprises race to deploy AI agents everywhere. While adoption is high, the infrastructure supporting it needs to ...

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 ...

What if the very systems designed to transform problem-solving are quietly failing behind the scenes? Multi-agent AI, often hailed as the future of artificial intelligence, promises to tackle complex ...