Tags: #on-device-ai

AI/ML Framework
python
14.9k

llmware-ai/llmware

A unified framework for building local, private, and secure enterprise RAG pipelines using small, specialized LLMs optimized for on-device and edge deployment.

Vector Database & Personal RAG System
Python
10.8k

yichuan-w/LEANN

LEANN is an innovative vector database enabling fast, accurate, and 100% private RAG on personal devices with 97% storage savings.

AI SDK / On-device AI Toolkit
LlamaCPP
10.3k

RunanywhereAI/runanywhere-sdks

A production-ready toolkit enabling developers to integrate private, offline, and fast on-device AI capabilities like LLMs, speech-to-text, and text-to-speech into their applications across various platforms.

Voice AI Toolkit
7.8k

moonshine-ai/moonshine

An open-source, on-device AI toolkit for real-time, low-latency speech-to-text, intent recognition, and text-to-speech across multiple platforms.

On-device Multimodal AI Application
python
1.6k

fikrikarim/parlor

Parlor is an on-device, real-time multimodal AI that enables natural voice and vision conversations, running entirely on your local machine.

Replaces:
Details
AI/ML Inference SDK
android
8.0k

NexaAI/nexa-sdk

A high-performance local inference framework for running frontier multimodal AI models on various devices with minimal energy consumption.

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