YouTube video by Google Cloud Tech

YouTube video by Google Cloud Tech

Large Language Models (LLMs) have demonstrated remarkable capabilities as powerful components in agentic systems, enabling sophisticated reasoning and complex task execution. However, current approaches to manually designing and optimizing agentic systems heavily rely on manual effort, limiting the…

Large Language Models (LLMs) have demonstrated remarkable capabilities as powerful components in agentic systems, enabling sophisticated reasoning and complex task execution. However, current approaches to manually designing and optimizing agentic systems heavily rely on manual effort, limiting the…

Building LLM-based agents has become increasingly important. Recent works on LLM-based agent self-evolution primarily record successful experiences as textual prompts or reflections, which cannot reliably guarantee efficient task re-execution in complex scenarios. We propose AgentFactory, a new self-evolution paradigm that preserves successful task solutions as executable subagent code rather than textual experience. Crucially, these subagents are continuously refined based on execution feedback, becoming increasingly robust and efficient as more tasks are encountered. Saved subagents are pure Python code with standardized documentation, enabling portability across any Python-capable system. We demonstrate that AgentFactory enables continuous capability accumulation: its library of executable subagents grows and improves over time, progressively reducing the effort required for similar tasks without manual intervention. Our implementation is open-sourced at https://github.com/zzatpku/AgentFactory, and our demonstration video is available at https://youtu.be/iKSsuAXJHW0.

It's no longer whether you can build an agent—it’s how fast and seamlessly you can go from idea to enterprise-ready deployment. The post Agent Factory: From prototype to production—developer tools and rapid agent development appeared first on Microsoft Azure Blog.

YouTube video by Google Cloud Tech

Learn how to build AI apps in minutes with Google AI Studio and Logan Kilpatrick from Google DeepMind. Discover vibe coding, grounding with Google Maps, and the future of AI development in this Agent ...

Instead of simply delivering information, agents reason, act, and collaborate—bridging the gap between knowledge and outcomes. Read more about agentic AI in Azure AI Foundry. The post Agent Factory: The new era of agentic AI—common use cases and design patterns appeared first on Microsoft Azure Blog.

🎥 Video coming soon!I’m preparing a short walkthrough video where I’ll run this sample live, explain the design decisions, and show how everything fits together step by step. But hey, it's christmas time, so I'm taking this easy 😉 When building AI-powered applications, the moment you move beyond a single “chatbot”, things get interesting very quickly. You start asking questions like:

Find out how Azure AI Foundry meets developers where they are, while giving enterprises the trust, security, and scale they need.

**AI-Powered Digital Workers Revolutionize Enterprise Automation** The first-of-its-kind enterprise humanoid agents, developed by AgentFactory, have finally been unveiled, marking a significant shift in the way…

The real power of agents comes from their ability to connect to each other, to enterprise data, and to the systems where work gets done. The post Agent Factory: Connecting agents, apps, and data with new open standards like MCP and A2A appeared first on Microsoft Azure Blog.