Microsoft Agent Framework Powers Multi-Agent Systems in Azure AI Foundry
stclarke summarizes Microsoft’s launch of the Agent Framework, a new enterprise-focused AI orchestration tool within Azure AI Foundry, designed for building and scaling multi-agent systems.
Microsoft Agent Framework Powers Multi-Agent Systems in Azure AI Foundry
The announcement spotlights Microsoft’s newest push in enterprise AI: the Microsoft Agent Framework. This technology enables organizations to build, orchestrate, and scale multi-agent AI systems directly in Azure AI Foundry. By leveraging efficient token management and high-performance agent frameworks, Microsoft aims to drive tangible enterprise outcomes from AI deployments.
Key Features
- Build and orchestrate multi-agent systems: The framework provides tools and infrastructure within Azure AI Foundry to develop agentic applications at scale.
- Enterprise foundations: Combines the AutoGen runtime for agent execution with Semantic Kernel, providing out-of-the-box compliance and observability features.
- Deep Azure integration: Easily deploy, scale, and manage your agentic AI solutions within the Azure ecosystem.
Why It Matters
- AI Economics: Focuses on efficiency, cost-management (token factories), and performance for real-world enterprise implementation.
- Enterprise-ready: Includes native compliance, observability, and secure integration—crucial for production adoption.
What Developers Can Do
- Build autonomous, multi-agent solutions for complex workflows
- Use enterprise features for governance, compliance, and monitoring
- Scale agent systems with Azure-native infrastructure
Related Technologies
- AutoGen: Microsoft’s agent runtime for managing agent execution.
- Semantic Kernel: Enterprise-grade orchestration features integrated with the Agent Framework.
For further details, see Satya Nadella’s post or the official Microsoft blog.
This post appeared first on “Microsoft News”. Read the entire article here