LEANN and loco-rag-engine

These are **competitors**: both provide self-contained, privacy-preserving RAG systems designed to run locally without cloud dependencies, targeting the same use case of on-device retrieval-augmented generation.

LEANN
73
Verified
loco-rag-engine
25
Experimental
Maintenance 20/25
Adoption 10/25
Maturity 24/25
Community 19/25
Maintenance 10/25
Adoption 2/25
Maturity 1/25
Community 12/25
Stars: 10,303
Forks: 894
Downloads:
Commits (30d): 12
Language: Python
License: MIT
Stars: 2
Forks: 1
Downloads:
Commits (30d): 0
Language: TypeScript
License:
No risk flags
No License No Package No Dependents

About LEANN

yichuan-w/LEANN

[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

Achieves extreme storage efficiency through graph-based selective recomputation with high-degree preserving pruning, computing embeddings on-demand rather than storing them. Natively integrates with Claude via MCP and supports semantic search across diverse personal data sources—file systems, emails, browser history, chat logs, and live platforms like Slack and Twitter—all on-device without cloud dependency.

About loco-rag-engine

madhavmadupu/loco-rag-engine

LOCO (Local-Only Contextual Orchestration) is designed for organizations and individuals who need the power of RAG without the privacy risks or costs of cloud-based LLMs.

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