Open Source Local Model Runners using JavaScript
A curated collection of the best open source run and serve large language models locally or on your own infrastructure. using JavaScript.
Run open-source LLMs locally on your own machine
Stars
183,041Last commit
5 hours agoLicense
MIT
Runs open-source language models locally with a simple setup, plus optional cloud access for larger models when local hardware isn't enough.
Open Source Alternative to:
Run LLMs locally with minimal setup, maximum hardware support
Stars
131,067Last commit
5 hours agoLicense
MIT
C/C++ inference engine for large language models, supporting quantization, multi-GPU, Apple Silicon, and an OpenAI-compatible server across a wide range of hardware.
Open Source Alternative to:
High-throughput, memory-efficient serving engine for LLMs
Stars
93,728Last commit
5 hours agoLicense
Apache-2.0
Inference and serving engine for large language models, built for speed and hardware efficiency with an OpenAI-compatible API and support for a wide range of open models.
Open Source Alternative to:
Run open-source AI models privately on your own device
Stars
77,368Last commit
1 year agoLicense
MIT
GPT4All runs open-source language models locally on Windows, macOS, and Linux with no cloud dependency, keeping your data on your machine.
Open Source Alternative to:
Self-hosted AI runtime for text, voice, vision, and agents
Stars
49,513Last commit
5 hours agoLicense
MIT
Run LLMs, speech, image generation, and autonomous agents on your own hardware with an OpenAI-compatible API and 60+ swappable backends.
Open Source Alternative to:
Run AI models locally or connect to cloud, privately
Stars
44,931Last commit
10 hours agoLicense
Apache-2.0
Jan runs open-source AI models on your own hardware or connects to cloud providers like OpenAI, Anthropic, and Google, keeping your conversations off third-party servers.
Open Source Alternative to:
InfluxDB – The purpose-built time series platform for high-velocity ingestion and real-time queries at scale.
Stellar Hosted