Jan
Open-source ChatGPT desktop — runs models locally or via API.
Polished local-LLM client with split chats and knowledge stacks.

Local or cloud · Entry GPU (6–8 GB)
Supports local llama.cpp + remote APIs in the same UI.
No paywall, no signup wall — you can use Msty today without handing over an email.
Doesn't require a dedicated GPU — useful on laptops and headless servers.
Native Metal / MPS support — runs on M-series Macs without CUDA gymnastics.
Supports Q4_K_M, Q5_K_M, GGUF — you can dial VRAM use up or down to match your card.
This page summarizes upstream documentation, release information, and editorially reviewed catalogue fields. It is not presented as a hands-on benchmark. Verify changing requirements at the official project; report stale data through our corrections channel.
Runs CPU-only — no CUDA / driver gymnastics required.
No dedicated GPU required.
Not open source and no public API — what you see is what you get.
Catalogue entry last updated 69 days ago — re-verification due soon.
Hand-picked from YouTube, Reddit, GitHub, and the wider web. Each link goes straight to the source — we don't intercept or rewrite anything.
Three picks across different tradeoffs — so you don't end up with three near-clones of Msty.
Msty is the local LLM client that takes the chat UX seriously — split-screen comparison chats, parallel responses from multiple models, knowledge stacks (local RAG over your files), and prompt libraries. Free for personal use; paid Aurum tier unlocks team features.
Free for personal use; Aurum tier US$50/yr for advanced features.
Open-source ChatGPT desktop — runs models locally or via API.
Desktop GUI for running local LLMs.
RAG-first local LLM workspace with workspaces and agents.