LangGraph vs Microsoft Agent Framework 1.0
Which one should you pick? Here's the full breakdown.
LangGraph
LangChain's graph-based framework for building stateful, controllable multi-agent and human-in-the-loop AI workflows
Microsoft Agent Framework 1.0
Microsoft's MIT-licensed open-source agent orchestration framework -- GA on 2026-04-03. Merges Semantic Kernel and AutoGen into a single SDK. Python and .NET. Native MCP and A2A protocol support. Connectors for Foundry, Azure OpenAI, OpenAI, Claude, Bedrock, Gemini, Ollama
| Category | LangGraph | Microsoft Agent Framework 1.0 |
|---|---|---|
| Ease of Use | 6.0 | 6.0 |
| Output Quality | 9.0 | 8.5 |
| Value | 8.5 | 10.0 |
| Features | 9.5 | 9.0 |
| Overall | 8.3 | 8.4 |
Pricing Comparison
| Feature | LangGraph | Microsoft Agent Framework 1.0 |
|---|---|---|
| Free Tier | Yes | Yes |
| Starting Price | $0 | $0 |
Which Should You Pick?
Pick LangGraph if...
Developers building complex, stateful, or human-in-the-loop agent workflows where the logic is genuinely a graph -- loops, branches, approvals, retries. Also the right pick for teams already on LangChain who want serious production tracing and evaluation.
Visit LangGraphPick Microsoft Agent Framework 1.0 if...
- ✓Better value for money (10/10)
Enterprise developers on .NET or mixed Python + .NET stacks who want an MIT-licensed agent orchestration framework with real enterprise credibility. Also good for Azure Foundry customers who want first-class native integration. Teams migrating from Semantic Kernel or AutoGen should plan the move to Microsoft Agent Framework 1.0 now rather than later.
Visit Microsoft Agent Framework 1.0Our Verdict
LangGraph and Microsoft Agent Framework 1.0 are extremely close overall. Your choice comes down to specific needs -- LangGraph is better for developers building complex, stateful, or human-in-the-loop agent workflows where the logic is genuinely a graph -- loops, branches, approvals, retries, while Microsoft Agent Framework 1.0 works best for enterprise developers on .