Overview
Research summary
Mem0 adds a memory layer to AI applications by extracting useful facts from interactions and retrieving relevant context in later sessions. Applications associate memories with users, agents or sessions and combine the results with their own model calls. The project supports configurable language models, embedding providers and storage backends. Its open-source libraries and self-hosted components are Apache-2.0 licensed. The managed platform includes additional proprietary optimizations, so hosted benchmark results and advanced features should not be assumed to describe the open-source implementation.
Repository summary
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services available
The provider offers paid products or services. Free options may also be available.
Commercial offering checked 2026-10-02.
Licence scope
Implementation
Recorded implementation details and interfaces for Mem0.
Implementation details
Memory extraction and retrieval libraries with self-hosted and managed service options
- Languages
- Python, TypeScript
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
Documentation
Recorded references and research provenance for this entry.
Recorded sources 7
- https://mem0.ai Project page · Research reference · Commercial offering evidence
- https://github.com/mem0ai/mem0 Linked repository · Research reference
- https://github.com/mem0ai/mem0/blob/main/README.md Research reference
- https://www.youtube.com/@mem0dotai Research reference
- https://github.com/mem0ai Research reference
- https://www.linkedin.com/company/mem0/ Research reference
- https://mem0.ai/pricing Commercial offering evidence
Research metadata
- Research date
- 2026-10-01
- Catalogue snapshot
- 2026-10-06
Community & social 4 channels
Video
- YouTubewww.youtube.com/@mem0dotaiLearningDemos
Communities
- Discordmem0.dev/DiGOfficial
Social & updates
- Xx.com/mem0aiOfficial
- LinkedInwww.linkedin.com/company/mem0OfficialAnnouncementsLearning
Link details for LinkedIn
- Last checked