LangGraph vs 
SuperAGI
LangGraph vs SuperAGI compared for 2026 — features, license, ease of use, performance and which one to choose. Stateful, controllable agent graphs vs Dev-first autonomous agent platform.
Updated regularly · curated by olud.ai
LangGraph vs SuperAGI at a glance
| Spec | LangGraph | SuperAGI |
|---|---|---|
| Category | AI agent framework | AI agent framework |
| Type | Agent orchestration (graphs) | Autonomous agent framework |
| License | MIT | MIT |
| Runs locally | Cloud-optional | Cloud-optional |
| Primary language | Python / JS | Python |
| Ease of use | Advanced | Advanced |
| Best for | developers needing controllable agent workflows | running multiple agents with a GUI |
| GitHub stars | 37.8k | 17.6k |
How LangGraph and SuperAGI score
| Criterion | LangGraph | SuperAGI |
|---|---|---|
| Popularity | 4.0 | 3.5 |
| Maintenance | 5.0 | 2.0 |
| 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
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
SuperAGI
SuperAGI is a developer-first framework to build, manage and run autonomous agents concurrently, with toolkits, a GUI and performance telemetry.
- Run concurrent agents from a GUI
- Toolkits and agent templates
- Telemetry and performance tracking
Key differences
LangGraph is agent orchestration (graphs), while SuperAGI is autonomous agent framework. In short, LangGraph fits developers needing controllable agent workflows, and SuperAGI fits running multiple agents with a GUI.
Which should you choose?
Choose LangGraph for developers needing controllable agent workflows. Choose SuperAGI for running multiple agents with a GUI.
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 LangGraph or SuperAGI easier to use?
Both sit at a similar level (Advanced). Your choice should come down to fit rather than difficulty.
Are LangGraph and SuperAGI free?
LangGraph is free and open source (MIT), and SuperAGI is free and open source (MIT). Neither charges for the core software.
Can I run LangGraph and SuperAGI locally?
LangGraph: cloud-optional · SuperAGI: cloud-optional. Both can be used without sending your data to a third-party cloud where their setup allows.
LangGraph vs SuperAGI — which should I pick in 2026?
Choose LangGraph for developers needing controllable agent workflows. Choose SuperAGI for running multiple agents with a GUI.
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