qnguyen3/chat-with-mlx
An all-in-one LLMs Chat UI for Apple Silicon Mac using MLX Framework. observed · 2026-08-28
Health v2 · maintenance only
25/100
- Activity 0
- Release rhythm 35
- Longevity 66
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 929
- days_rel: n/a
- days_push: 726
- n_releases_24m: 0
Adoption not part of the score
1593 stars · 127 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A chat playground application for running LLMs locally on Apple Silicon Macs using Apple's MLX framework. It provides a chat UI with support for HuggingFace and MLX-compatible open-source models, plus document and YouTube-based RAG features.
Use cases
- chat with local llms on mac
- run llama or mistral on apple silicon
- private offline chatbot ui
- chat with pdf documents locally
- query youtube videos with llm
- test open-source models without cloud
When to choose
- you have an Apple Silicon Mac and want local LLM inference
- you want a privacy-focused chat UI without sending data to cloud APIs
- you want to experiment with MLX-compatible models from HuggingFace
- you need simple document Q&A with a local vector database
When to avoid
- you are on Linux or Windows since MLX requires Apple Silicon
- you need production-grade multi-user chat deployment
- you need GPU acceleration on non-Apple hardware
- you need polished, bug-free document indexing workflows
Facets
application · maturity active
chatbot llm-inference rag ui-components large-language-models chatbots artificial-intelligence self-hosted python apple-silicon mlx chat-ui local-llm privacy huggingface macos desktop
1 source
- readme: https://github.com/qnguyen3/chat-with-mlx · fetched 2026-08-28 · 94c23a1574f0
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| qnguyen3/chat-with-mlx | main | 25 |
For agents
markdown · JSON · MCP: product_card(name="qnguyen3/chat-with-mlx")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem