MemoriLabs/Memori

for project: oss-digest · 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 oss-digest:** medium (55/100)
**Integration:** cherry-pick

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

## Why it's useful here
oss-digest uses a two-stage DeepSeek pipeline; Memori can remember which projects the user has already seen or engaged with, improving triage and personalization.

## Suggested use
Register Memori with the LLM client to maintain a memory of previously digested projects, user preferences, and feedback to refine future 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 cloud dependency; also may conflict with existing memory approach.

## 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.