Open-Source AI · AI agent framework

Agno vs Mem0

Agno vs Mem0 compared for 2026 — features, license, ease of use, performance and which one to choose. Fast, lightweight multi-modal agents vs Long-term memory for AI agents.

Updated regularly · curated by OpenSourceAI.tech

Choose Agno for fast agents with memory and tools. Choose Mem0 for developers adding persistent memory to agents.

Agno vs Mem0 at a glance

SpecAgnoMem0
CategoryAI agent frameworkAI agent framework
TypeAgent frameworkAgent memory layer
LicenseMPL-2.0Apache-2.0
Runs locallyCloud-optionalSelf-hosted
Primary languagePythonPython
Ease of useIntermediateIntermediate
Best forfast agents with memory and toolsdevelopers adding persistent memory to agents
GitHub stars41.1k60.7k

How Agno and Mem0 score

🏆 Overall edge: Mem0 — 4.5 vs 3.9 / 5
CriterionAgnoMem0
Popularity4.04.5
Maintenance5.05.0
Ease of use3.53.5
Privacy3.54.5
License freedom3.55.0

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

Agent framework · MPL-2.0

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
See the Agno page →

Mem0

Agent memory layer · Apache-2.0

Mem0 is a memory layer that gives agents and assistants persistent, personalized memory across sessions, with APIs to store, search and consolidate memories.

  • Persistent, personalized agent memory
  • Automatic memory extraction and consolidation
  • Self-hosted or managed, framework-agnostic
See the Mem0 page →

Key differences

Agno is agent framework, while Mem0 is agent memory layer. Their licenses differ (MPL-2.0 vs Apache-2.0), which matters if you ship a commercial product. They also differ in how they run (Cloud-optional vs Self-hosted). In short, Agno fits fast agents with memory and tools, and Mem0 fits developers adding persistent memory to agents.

Which should you choose?

Choose Agno for fast agents with memory and tools. Choose Mem0 for developers adding persistent memory to agents.

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 Mem0 easier to use?

Both sit at a similar level (Intermediate). Your choice should come down to fit rather than difficulty.

Are Agno and Mem0 free?

Agno is free and open source (MPL-2.0), and Mem0 is free and open source (Apache-2.0). Neither charges for the core software.

Can I run Agno and Mem0 locally?

Agno: cloud-optional · Mem0: self-hosted. Both can be used without sending your data to a third-party cloud where their setup allows.

Agno vs Mem0 — which should I pick in 2026?

Choose Agno for fast agents with memory and tools. Choose Mem0 for developers adding persistent memory to agents.

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 →