AutoGen vs 
LangGraph
AutoGen vs LangGraph compared for 2026 — features, license, ease of use, performance and which one to choose. Microsoft's conversational agent framework vs Stateful, controllable agent graphs.
Updated regularly · curated by OpenSourceAI.tech
AutoGen vs LangGraph at a glance
| Spec | AutoGen | LangGraph |
|---|---|---|
| Category | AI agent framework | AI agent framework |
| Type | Multi-agent framework | Agent orchestration (graphs) |
| License | MIT | MIT |
| Runs locally | Cloud-optional | Cloud-optional |
| Primary language | Python | Python / JS |
| Ease of use | Advanced | Advanced |
| Best for | researchers building conversational agent systems | developers needing controllable agent workflows |
| GitHub stars | 60.1k | 38.4k |
Feature comparison
| Feature | AutoGen | LangGraph |
|---|---|---|
| Multi-agent | ✓ | ✓ |
| Tool / function calling | ✓ | ✓ |
| Code execution | ✓ | ✓ |
| Memory | ✓ | ✓ |
| Human-in-the-loop | ✓ | ✓ |
| Graph control | ✗ | ✓ |
How AutoGen and LangGraph score
| Criterion | AutoGen | LangGraph |
|---|---|---|
| Popularity | 4.5 | 4.0 |
| Maintenance | 4.0 | 5.0 |
| Ease of use | 2.5 | 2.5 |
| Privacy | 3.5 | 3.5 |
| License freedom | 5.0 | 5.0 |
Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.
What each one is
AutoGen
AutoGen — the official full name, short for “Automated Generation” — is Microsoft’s open-source framework for building multi-agent AI systems where agents converse to solve tasks, with strong support for code execution and tool use.
- Flexible multi-agent conversation patterns
- Strong code-execution and tool-use support
- Backed by Microsoft Research
LangGraph
LangGraph is a library for building stateful, controllable agents as graphs, giving you fine-grained control over loops, branching and persistence.
- Explicit, controllable agent state machines
- Persistence and human-in-the-loop built in
- Integrates with the LangChain ecosystem
Key differences
AutoGen is multi-agent framework, while LangGraph is agent orchestration (graphs). In short, AutoGen fits researchers building conversational agent systems, and LangGraph fits developers needing controllable agent workflows.
Which should you choose?
Choose AutoGen for researchers building conversational agent systems. Choose LangGraph for developers needing controllable agent workflows.
There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.
Frequently asked questions
Is AutoGen or LangGraph easier to use?
Both sit at a similar level (Advanced). Your choice should come down to fit rather than difficulty.
Are AutoGen and LangGraph free?
AutoGen is free and open source (MIT), and LangGraph is free and open source (MIT). Neither charges for the core software.
Can I run AutoGen and LangGraph locally?
AutoGen: cloud-optional · LangGraph: cloud-optional. Both can be used without sending your data to a third-party cloud where their setup allows.
AutoGen vs LangGraph — which should I pick in 2026?
Choose AutoGen for researchers building conversational agent systems. Choose LangGraph for developers needing controllable agent workflows.
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