# Mem0

Canonical: https://superficialanalysis.com/analysis/data-infrastructure/mem0

Persistent memory for AI applications

Mem0 provides a memory layer that lets AI assistants and agents retain relevant context and user preferences across interactions.

Website: https://mem0.ai

Sources reviewed: 2026-10-20.

Built for: Developers building AI assistants and agents

Workflows: Persistent context, User preferences, Agent memory

## Pricing

Pricing not captured in this profile. Check the company's website for current plans and terms.

## Integrations

Integration compatibility has not been independently reviewed.

## Product scope

The product focuses on remembering and retrieving useful information rather than relying only on the current conversation window.

## Questions for evaluation

Evaluate memory deletion, tenant isolation, retrieval quality, and the rules that determine what information is retained.

These are editorial evaluation questions, not results of an independent product test.


## Company facts

- Founded: 2023 [vendor-claimed] — Company-reported in public directory profile Sources: https://www.ycombinator.com/companies/mem0
- HQ: San Francisco [vendor-claimed] — Company-reported in public directory profile Sources: https://www.ycombinator.com/companies/mem0
- Headcount: 10 [vendor-claimed] — Company-reported in public directory profile Sources: https://www.ycombinator.com/companies/mem0
- Focus: Persistent context; User preferences; Agent memory [vendor-claimed] Sources: https://www.ycombinator.com/companies/mem0, https://mem0.ai

## Sources and research notes

This profile uses public sources only. Product descriptions and company details are company-reported, not independently tested.

- [Mem0 — company directory profile](https://www.ycombinator.com/companies/mem0) (reviewed 2026-10-20)
- [Mem0 — official website](https://mem0.ai) (reviewed 2026-10-20)

[Research methodology](https://superficialanalysis.com/methodology.md)