# mem0 vs osaurus
_Agent Infrastructure · independent comparison_

> mem0 and osaurus are both open-source agent infrastructure you can self-host for free. mem0 has wider GitHub adoption — 63k stars vs 7.6k. Neither is universally better — pick by fit.

## Side by side

**mem0**
- Open source · Infrastructure · 63k★ · Python · Apache-2.0 · active 4 days ago
- Best for: Adding a persistent memory layer to agents across sessions and users.
- Avoid if: You only need simple conversation history in a single session.
- [listing](https://agentsearchengine.app/agents/mem0) · [official](https://mem0.ai)

**osaurus**
- Open source · Infrastructure · 7.6k★ · Swift · MIT · active 2 days ago
- [listing](https://agentsearchengine.app/agents/osaurus) · [official](https://osaurus.ai)

## Key differences

- mem0 has wider GitHub adoption — 63k stars vs 7.6k.
- mem0 is written primarily in Python; osaurus in Swift.
- Licensing differs: mem0 is Apache-2.0, osaurus is MIT.

## Which to choose

**Choose mem0 if:** Adding a persistent memory layer to agents across sessions and users.

**Choose osaurus if:** your team works primarily in Swift.

## FAQ

**What's the main difference between mem0 and osaurus?**
mem0 has wider GitHub adoption — 63k stars vs 7.6k.

**Is mem0 or osaurus better?**
Neither is universally better. mem0 is the stronger fit for Adding a persistent memory layer to agents across sessions and users; osaurus for teams working primarily in Swift. Use the side-by-side specs to decide by your own constraints.

**Is mem0 or osaurus free?**
mem0 is free to run and self-host; osaurus is free to run and self-host. Both are free to self-host — you only pay for the infrastructure and any model or API usage.

**Which is more popular, mem0 or osaurus?**
By GitHub stars — a proxy for open-source adoption — mem0 is ahead (63k vs 7.6k). Stars measure attention, not necessarily the better fit for you.

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Source: [Agent Search Engine](https://agentsearchengine.app) — https://agentsearchengine.app/compare/mem0-vs-osaurus