Mmcp.market

Head to head

HuggingFace New Model Release Tracker (hfmodelwatch) vs Local Rag

Same numbers we show everywhere else, lined up. Ratings come from users, the grade comes from our scanner, adoption comes from public registries.

HuggingFace New Model Release Tracker (hfmodelwatch)com.a2awire/data-new-model-release-tracker-huggingface-ai
C
No reviews yet

New AI models on HuggingFace: releases, weights. Register in-session — free testnet funds.

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Local Ragio.github.shinpr/mcp-local-rag
A
No reviews yet

Easy-to-setup local RAG server with minimal configuration

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The short version

Neither has been reviewed yet, so the comparison rests on the scan and the public usage numbers. The safety scan favours Local Rag (92/100 against 60). HuggingFace New Model Release Tracker (hfmodelwatch) is hosted and callable through the gateway; Local Rag runs on your own machine. Local Rag has noticeably more public adoption.

 HuggingFace New Model Release Tracker (hfmodelwatch)Local Rag
User ratingNo reviews yetNo reviews yet
Safety gradeC60/100A92/100
AdoptionNewEstablished
GitHub stars–400
Downloads / week–4.8k
Runs whereHosted (remote)Your machine (local)
Gateway-readyYesNo
Tools169
Write actions61
Price per callFreeFree
Licence—MIT
Last release—2026-09-18
CategoryAI and agentsAI and agents

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