Microsoft Agent Framework
Microsoft framework for building, orchestrating, and deploying agents and multi-agent workflows across Python and .NET.
Best for
Deployment targets
Source boundary
Microsoft Learn and the public repository describe Agent Framework as a framework for agent orchestration and multi-agent workflows.
| Source | Type | Verified | Citation |
|---|---|---|---|
| Microsoft Agent Framework docs | docs | 2026-09-15 | Official Microsoft Learn documentation for Agent Framework. |
| Microsoft Agent Framework GitHub | github | 2026-09-15 | Public repository for Microsoft Agent Framework. |
Relationships
| Type | Source | Target | Confidence |
|---|
Compatibility
| Type | Target | Status | Evidence |
|---|---|---|---|
| framework_mcp | github-mcp-server | verify_required | Agent Framework can orchestrate tool-using agents, while GitHub MCP Server exposes repository tools through MCP; integration should be verified per host and transport. |
| runtime_deployment | serverless-container-runtime | supported | Agent Framework targets production-grade agent and workflow deployments that fit server and container runtime patterns. |
What makes an agent stack enterprise-ready?
An enterprise-ready stack should expose governance boundaries, source verification, observability, host compatibility, and deployment paths that match existing platform and language constraints.
When is Microsoft Agent Framework a better fit than OpenAI Agents SDK?
Microsoft Agent Framework is a better fit when Python and .NET coverage, Microsoft platform alignment, or enterprise workflow integration matter. OpenAI Agents SDK is a better fit for OpenAI-native orchestration with handoffs, guardrails, and tracing.
What is the difference between Semantic Kernel and Microsoft Agent Framework?
Semantic Kernel is a strong fit for plugin-based AI application integration, while Microsoft Agent Framework is the clearer fit for agent and multi-agent workflow orchestration.
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