LangGraph vs 
Agno
LangGraph vs Agno compared for 2026 — features, license, ease of use, performance and which one to choose. Stateful, controllable agent graphs vs Fast, lightweight multi-modal agents.
Updated regularly · curated by OpenSourceAI.tech
LangGraph vs Agno at a glance
| Spec | LangGraph | Agno |
|---|---|---|
| Category | AI agent framework | AI agent framework |
| Type | Agent orchestration (graphs) | Agent framework |
| License | MIT | MPL-2.0 |
| Runs locally | Cloud-optional | Cloud-optional |
| Primary language | Python / JS | Python |
| Ease of use | Advanced | Intermediate |
| Best for | developers needing controllable agent workflows | fast agents with memory and tools |
| GitHub stars | 38.4k | 41.5k |
How LangGraph and Agno score
| Criterion | LangGraph | Agno |
|---|---|---|
| Popularity | 4.0 | 4.0 |
| Maintenance | 5.0 | 5.0 |
| Ease of use | 2.5 | 3.5 |
| Privacy | 3.5 | 3.5 |
| License freedom | 5.0 | 3.5 |
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
Agno
Agno (formerly Phidata) is a lightweight, high-performance framework for building multi-modal agents with memory, knowledge and tools, plus a monitoring UI.
- Very fast agent instantiation
- Built-in memory, knowledge and tools
- Multi-modal and model-agnostic
Key differences
LangGraph is agent orchestration (graphs), while Agno is agent framework. Their licenses differ (MIT vs MPL-2.0), which matters if you ship a commercial product. LangGraph leans more advanced-friendly, whereas Agno is more suited to intermediate users. In short, LangGraph fits developers needing controllable agent workflows, and Agno fits fast agents with memory and tools.
Which should you choose?
Choose LangGraph for developers needing controllable agent workflows. Choose Agno for fast agents with memory and tools.
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 Agno easier to use?
Agno is generally the easier of the two to get started with, while LangGraph rewards more setup with more control.
Are LangGraph and Agno free?
LangGraph is free and open source (MIT), and Agno is free and open source (MPL-2.0). Neither charges for the core software.
Can I run LangGraph and Agno locally?
LangGraph: cloud-optional · Agno: cloud-optional. Both can be used without sending your data to a third-party cloud where their setup allows.
LangGraph vs Agno — which should I pick in 2026?
Choose LangGraph for developers needing controllable agent workflows. Choose Agno for fast agents with memory and tools.
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