MemoriLabs/Memori
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
No releases in the last 90 days; the most recent was 162 days ago, with 41 contributors on GitHub.
Peaked at #10 in the weekly ranking the week of Dec 14, its best in the past year.
Use Cases & Benefits
- Provides an SQL-native memory engine that enables any LLM to maintain persistent, queryable conversational memory with minimal integration effort.
- Offers seamless integration with existing SQL databases, eliminating the need for costly vector databases and avoiding vendor lock-in.
- Use for adding persistent, context-aware memory to AI chatbots across multiple sessions using standard SQL databases you control.
- Use for enterprise AI systems requiring scalable, auditable memory storage that works across managed cloud, VPC, and on-premises environments.
- Use for multi-agent frameworks and applications needing structured, long-short-term memory with automatic entity extraction and relationship mapping.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Other
GitHub could not identify this license; read the LICENSE file before depending on it.
Community files
- README: present
- Contributing guide: present
Watch-outs
- License not identified by GitHub; read the LICENSE file before depending on it.
General guidance from repository metadata, not legal advice. How we score
From the README
An open-source SQL-Native memory engine for AI
One line of code to give any LLM persistent, queryable memory using standard SQL databases
Memori enables any LLM to remember conversations, learn from interactions, and maintain context across sessions with a single line:
memori.enable(). Memory is stored in standard SQL databases (SQLite, PostgreSQL, MySQL) that you fully own and control.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
3.9K+955
Open issues
53+27
Compared with peers in AI Agents
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| morluto/rea | 450.0K | +22.9K | 75 | 16 days ago |
| vercel-labs/agent-desktop | 21.4K | +8.7K | 75 | 5 days ago |
| milind-soni/OpenMausBot | 20.6K | +8.4K | 75 | today |
| stablyai/orca | 121.4K | +6.7K | 75 | today |
| thedotmack/claude-mem | 115.8K | +4.7K | 75 | today |
| MemoriLabs/Memori | 17.4K | — | 46 | 162 days ago |
| Category median | 115.8K | +8.4K | 75 | — |
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