MemoriLabs/Memori

for project: landlordnews · https://github.com/MemoriLabs/Memori
# MemoriLabs/Memori

**URL:** https://github.com/MemoriLabs/Memori
**One-liner:** Memori is an LLM-agnostic memory layer that persists agent execution and conversation state, with both TypeScript and Python SDKs.
**Relevance to landlordnews:** medium (60/100)
**Integration:** cherry-pick

## Summary
Agent-native memory infrastructure for persistent state.

## Why it's useful here
Landlordnews uses AI to generate content; Memori can remember user reading preferences and interaction history to personalize news feeds.

## Suggested use
Integrate Memori with the AI pipeline to store user-specific interests and recall them when generating personalized news digests.

## Novelty / why now
Strong LoCoMo benchmark results (81.95% accuracy at 5% of full-context tokens) and both cloud and BYODB options.

## Risks
Same as above; also requires API key and cloud dependency.

## Safety scan
- Risk level: **low**
- Stars: 14416 (age 293d, 49.20 stars/day)
- Last push: 0 days ago
- Contributors: 34
- License: NOASSERTION
- Postinstall hooks: none
- Suspicious patterns: none
- Notes: (none)

### Reviewer safety notes
License is Apache 2.0, no postinstall hooks, no secrets, low risk. However, default usage depends on Memori Cloud (SaaS) which may raise data privacy concerns. BYODB mitigates this.