LangGraph vs AutoGen: Which AI Agent Is Better in 2026?
Two closely related frameworks tools, side by side. Everything here comes from our directory listing; pricing is as each maker states it. Both are listed for: build an agent.
 LangGraph |  AutoGen | |
|---|---|---|
| Description | Framework for stateful, graph-based agent workflows. | Microsoft's framework for multi-agent conversations. |
| Pricing model | Open source | Open source |
| Open source | Yes | Yes |
| Key features | Low-level orchestration for stateful agents; Durable execution; Python and JS/TS versions | Microsoft's framework for multi-agent conversations. |
| Best for | Builders who want explicit, stateful, graph-based control over agent workflows | Builders exploring multi-agent conversations with Microsoft's framework |
| Category | frameworks | frameworks |
| Audience | For builders | For builders |
| Pricing (as stated) | Open source | Open source |
| Maturity | Mature | Mature |
| GitHub stars | 43,237 | 61,395 |
| Use cases | build an agent, automate workflows | build multi-agent systems, build an agent |
| Link checked | 2026-10-14 | 2026-10-14 |
| Official site | Visit ↗ | Visit ↗ |
We don't run benchmarks. The recommendation below is based on the listing facts in this table, not on testing. Check each official site for current pricing and features before you choose.
Our recommendation
Choose LangGraph if you want to model your agent as a stateful graph with explicit steps and control flow.
Choose AutoGen if your design is built around several agents talking to each other in multi-agent conversations.
FAQ
What is the difference between LangGraph and AutoGen?
LangGraph: Framework for stateful, graph-based agent workflows. AutoGen: Microsoft's framework for multi-agent conversations.
Is LangGraph or AutoGen open source?
LangGraph: Yes. AutoGen: Yes. Pricing as each maker states it: LangGraph, Open source; AutoGen, Open source.
Should I choose LangGraph or AutoGen?
Choose LangGraph if you want to model your agent as a stateful graph with explicit steps and control flow. Choose AutoGen if your design is built around several agents talking to each other in multi-agent conversations.
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