Articles for tag: AI Development, multi-agent systems, Node.js, open-source tools, software development, TypeScript framework, VoltAgent

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Meet VoltAgent: The Ultimate TypeScript Framework for Creating Scalable and Efficient AI Agents

VoltAgent is an open-source TypeScript framework that simplifies the development of AI-driven applications. It provides modular components and a core engine to help developers manage complex interactions with large language models (LLMs), state management, and tool integrations. With VoltAgent, you can easily create intelligent agents with specific roles, memory capabilities, and connections to external tools, ...

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Enhancing Real-Time User Experience: Insights from Shopper’s Concierge Multi-Agent Architecture Demo by Kaz Sato at Google Cloud

In this article, Kaz Sato shares insights from creating an AI product search demo called Shopper’s Concierge, utilizing a multi-agent design. Initially, he attempted to use a single agent for everything, but faced issues like slow response times, complex prompts, and difficulties in debugging. By redesigning the system to employ two distinct agents—a lightweight UI ...

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Enhancing Real-Time User Experience with Multi-Agent Architecture: Insights from Kaz Sato’s Shopper’s Concierge Demo at Google Cloud

In this article, Kaz Sato shares his experiences with building an AI demo called Shopper’s Concierge, highlighting lessons learned from using a multi-agent system. Initially, he found that using a single AI agent caused issues like latency, complex prompts, and debugging difficulties. To improve this, he redesigned the system, creating two distinct agents: a fast ...

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Step-by-Step Guide to Building Your Own AI Agent: Unlock the Future of Automation and Intelligent Solutions

Discover how AI agents are transforming from basic chatbots into powerful collaborators that manage entire workflows. Thanks to advancements in reasoning and integration, large language models (LLMs) now operate autonomously, making real-time decisions and coordinating actions. This blog provides a step-by-step guide for data professionals on building advanced AI systems, especially multi-agent architectures. Learn how ...

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Understanding Multi-Agent Systems: Definition, Applications, and Benefits of MAS in Modern Technology Solutions

Multi-agent systems (MAS) are networks of AI agents working together to tackle complex tasks in businesses. Unlike single AI agents that function alone, MAS collaborate, making real-time decisions and adapting to changes, which is crucial for industries like finance, healthcare, and retail. This teamwork helps avoid errors, speeds up insights, and enhances automation reliability. With ...

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Microsoft Simplifies AI Agent Development and Orchestration: Insights from the Latest AI Agent & Copilot Podcast Episode

Welcome to the AI Copilot Podcast, where we explore the latest developments in AI technology from Microsoft and its partners. In this episode, Tom Smith discusses Microsoft’s new AI agent framework within Azure AI Foundry, designed to streamline the creation and management of multi-agent systems. The framework includes a feedback system for real-time improvements and ...

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Build Advanced Headless Agents Easily Using the Agent API for Enhanced Performance and Flexibility in Your Applications

Headless agents are automated systems that operate without user-triggered interfaces, allowing them to perform tasks independently. At TDX ’25, advancements like the Agent API were showcased, enabling developers to create innovative agent experiences. This includes building complex workflows through multi-agent systems where various specialized agents collaborate, such as those handling loan applications. The Agent API ...

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Build Headless Agents Seamlessly with the Agent API for Enhanced Automation and Flexibility in Your Applications

Headless agents are automated systems that operate independently without user input from a chat interface, allowing them to perform tasks autonomously. At TDX ’25, new features in AI and automation were introduced, including the Agent API, which can enhance the way we interact with these agents. This API simplifies the setup process and enables both ...

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Composabl’s Multi-Agent Orchestration Platform Launches on Azure Marketplace for Enhanced Workflow Automation and Integration Solutions

On April 15, 2025, Composabl, a pioneer in industrial AI solutions, announced that its innovative multi-agent platform is now available on the Microsoft Azure Marketplace. This integration allows businesses to use their existing Azure credits to enhance automation and operational efficiency. Composabl’s software enables manufacturers and logistics companies to design, train, and deploy AI systems, ...

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Understanding the A2A Protocol: How Agent2Agent Works for Seamless Communication and Data Exchange in Modern Systems

Google’s Agent2Agent (A2A) protocol is designed to facilitate communication and collaboration between AI agents. By enabling these agents to work together toward common goals, A2A simplifies the complex integration often required in AI applications. This guide provides a beginner-friendly overview of A2A, covering its relationship with the Model Context Protocol (MCP), how to implement A2A ...

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