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DATASHEET // MSTY

Msty

Polished local-LLM client with split chats and knowledge stacks.

FREEMIUM · $4.16/MOCPU-CAPABLELocal or cloud
Actually FreeNo SignupWatermark-FreeHobbyist-OK
Visit MstyUPDATED 2026-05-08 · DIRECT LINK
msty.app/
Msty — preview image

HARDWARE REQUIREMENTS //

Local or cloud · Entry GPU (6–8 GB)

CPU-CAPABLE
Min VRAM
None
Rec. VRAM
8 GB
Min RAM
8 GB
Rec. RAM
16 GB
Disk
15 GB
GPU class
Entry GPU
Apple Silicon ✓CPU-CapableQuant: Q4_K_M, Q5_K_M, GGUF

Supports local llama.cpp + remote APIs in the same UI.

[ EDITORIAL PICK ]

Why we recommend Msty

DERIVED FROM METADATA — NOT SPONSORED
  • Genuinely free

    No paywall, no signup wall — you can use Msty today without handing over an email.

  • CPU-capable

    Doesn't require a dedicated GPU — useful on laptops and headless servers.

  • Apple Silicon

    Native Metal / MPS support — runs on M-series Macs without CUDA gymnastics.

  • 3 quant formats

    Supports Q4_K_M, Q5_K_M, GGUF — you can dial VRAM use up or down to match your card.

[ EVIDENCE NOTE ]

Documentation-led datasheet

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.

Memory guide

AT-A-GLANCE SIGNALS //

DERIVED FROM THIS PAGE'S DATA
  • Install difficulty
    Easy

    Runs CPU-only — no CUDA / driver gymnastics required.

  • Hardware comfort
    Runs anywhere

    No dedicated GPU required.

  • Ecosystem
    Standard

    Not open source and no public API — what you see is what you get.

  • Verification
    Recent

    Catalogue entry last updated 69 days ago — re-verification due soon.

[ COMMUNITY GUIDES & WORKFLOWS ]

Tutorials & deep-dives for Msty

Hand-picked from YouTube, Reddit, GitHub, and the wider web. Each link goes straight to the source — we don't intercept or rewrite anything.

[ MORE IN THIS NICHE ]

Other local llm runners tools we rate

Three picks across different tradeoffs — so you don't end up with three near-clones of Msty.

What is 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.

Pros & cons

✓ PROS

  • Split-chat / parallel-model comparison is unique
  • Knowledge stacks make local RAG genuinely usable
  • Beautiful UI — feels more like a 2026 product than most OSS alternatives

– CONS

  • Closed source
  • Aurum tier behind a paywall (acceptable, but worth knowing)

What's actually free?

Free for personal use; Aurum tier US$50/yr for advanced features.

✓ Actually FreeNo SignupWatermark-Free

Alternatives

Jan

Open-source ChatGPT desktop — runs models locally or via API.

OPEN SOURCECPU-CAPABLE

AnythingLLM

RAG-first local LLM workspace with workspaces and agents.

OPEN SOURCECPU-CAPABLE