Agno vs Phidata
Agno vs Phidata compared for 2026 — features, license, ease of use, performance and which one to choose. Fast, lightweight multi-modal agents vs Agents with memory, knowledge and tools.
Updated regularly · curated by OpenSourceAI.tech
Agno vs Phidata at a glance
| Spec | Agno | Phidata |
|---|---|---|
| Category | AI agent framework | AI agent framework |
| Type | Agent framework | Agent framework |
| License | MPL-2.0 | MPL-2.0 |
| Runs locally | Cloud-optional | Yes |
| Primary language | Python | Python |
| Ease of use | Intermediate | Beginner |
| Best for | fast agents with memory and tools | agents that need to remember and retrieve |
| GitHub stars | 41.1k | — |
How Agno and Phidata score
| Criterion | Agno | Phidata |
|---|---|---|
| Popularity | 4.0 | n/a |
| Maintenance | 5.0 | n/a |
| Ease of use | 3.5 | 5.0 |
| Privacy | 3.5 | 5.0 |
| License freedom | 3.5 | 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
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
Phidata
Phidata builds agents that combine memory, a knowledge base and tools, and ships a UI to chat with and inspect them.
- Memory and knowledge built in
- Ships an agent inspection UI
- Simple, readable API
Key differences
Agno is agent framework, while Phidata is agent framework. Agno leans more intermediate-friendly, whereas Phidata is more suited to beginner users. They also differ in how they run (Cloud-optional vs Yes). In short, Agno fits fast agents with memory and tools, and Phidata fits agents that need to remember and retrieve.
Which should you choose?
Choose Agno for fast agents with memory and tools. Choose Phidata for agents that need to remember and retrieve.
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 Phidata easier to use?
Phidata is generally the easier of the two to get started with, while Agno rewards more setup with more control.
Are Agno and Phidata free?
Agno is free and open source (MPL-2.0), and Phidata is free and open source (MPL-2.0). Neither charges for the core software.
Can I run Agno and Phidata locally?
Agno: cloud-optional · Phidata: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
Agno vs Phidata — which should I pick in 2026?
Choose Agno for fast agents with memory and tools. Choose Phidata for agents that need to remember and retrieve.
People also compare
Explore more open-source AI
Browse thousands of open-source AI tools, models and projects — all curated in one place, updated daily.
Explore the directory →