Agno vs 
CAMEL
Agno vs CAMEL compared for 2026 — features, license, ease of use, performance and which one to choose. Fast, lightweight multi-modal agents vs The research framework for agent societies.
Updated regularly · curated by OpenSourceAI.tech
Agno vs CAMEL at a glance
| Spec | Agno | CAMEL |
|---|---|---|
| Category | AI agent framework | AI agent framework |
| Type | Agent framework | Multi-agent framework |
| License | MPL-2.0 | Apache-2.0 |
| Runs locally | Cloud-optional | Partial |
| Primary language | Python | Python |
| Ease of use | Intermediate | Advanced |
| Best for | fast agents with memory and tools | research and large-scale multi-agent simulation |
| GitHub stars | 41.1k | 17.4k |
How Agno and CAMEL score
| Criterion | Agno | CAMEL |
|---|---|---|
| Popularity | 4.0 | 3.5 |
| Maintenance | 5.0 | 5.0 |
| Ease of use | 3.5 | 2.5 |
| Privacy | 3.5 | 3.5 |
| License freedom | 3.5 | 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
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
CAMEL
CAMEL pioneered role-playing multi-agent systems: build societies of communicating agents for synthetic data, task automation and research on agent behavior at scale.
- Pioneer of role-playing agent communication
- Scales to societies of many agents
- Strong academic backing and active research
Key differences
Agno is agent framework, while CAMEL is multi-agent framework. Their licenses differ (MPL-2.0 vs Apache-2.0), which matters if you ship a commercial product. Agno leans more intermediate-friendly, whereas CAMEL is more suited to advanced users. They also differ in how they run (Cloud-optional vs Partial). In short, Agno fits fast agents with memory and tools, and CAMEL fits research and large-scale multi-agent simulation.
Which should you choose?
Choose Agno for fast agents with memory and tools. Choose CAMEL for research and large-scale multi-agent simulation.
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 Agno or CAMEL easier to use?
Agno is generally the easier of the two to get started with, while CAMEL rewards more setup with more control.
Are Agno and CAMEL free?
Agno is free and open source (MPL-2.0), and CAMEL is free and open source (Apache-2.0). Neither charges for the core software.
Can I run Agno and CAMEL locally?
Agno: cloud-optional · CAMEL: partial. Both can be used without sending your data to a third-party cloud where their setup allows.
Agno vs CAMEL — which should I pick in 2026?
Choose Agno for fast agents with memory and tools. Choose CAMEL for research and large-scale multi-agent simulation.
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