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LM Studio

Share local models across devices through a private network

LM Link lets you access models running on other devices as if they were local. It is built for LM Studio users who want to load remote models through the app, local server, API, or SDKs without exposing devices to the public internet.

iOS
API
B2B
For Developers
CLI
Self-Hosted
Supports Local Models
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About

What It Is

LM Link is a connectivity layer in the LM Studio ecosystem that lets multiple devices in your network access shared models. According to the docs, it makes remote models appear local, so tools that already connect to LM Studio can use them without changing their normal localhost setup.

It is aimed at LM Studio users and developers who want to move model access between machines while keeping the same workflows. Setup happens in the LM Studio app or through the lms CLI, and the docs also mention a headless daemon called llmster plus integration with LM Studio's API and SDKs.

What to Know

LM Link is not a general-purpose agent platform; it is infrastructure for model access and device discovery. The documentation says it uses Tailscale-based end-to-end encrypted connections, does not expose devices to the public internet, and does not let linked devices access your files, operating system, or unrelated services.

There are some caveats. LM Studio says LM Link creates a dedicated network and does not work well with an existing Tailscale network. The docs also note that the LM Studio Hub is only for discovery, but they do not provide pricing details for LM Link itself. Open-source status is unclear from the page content.

Key Features
Routes remote models through LM Studio as if they were local
Supports remote model access through LM Studio's local server
Supports remote model access through the LM Studio API and SDKs
Lets you choose a preferred device for loading a model
Uses end-to-end encrypted Tailscale connections between devices
Use Cases
Run a model on one machine and access it from another machine as a local LM Studio model
Point existing tools at localhost:1234 and use a model hosted on a remote device
Use a preferred GPU machine for model loading in a multi-device setup
Agenticness: Reactive Tool

Responds to prompts but takes no autonomous action.

High evidence
Last evaluated: Mar 31, 2026

Dimension Breakdown

Action Capability
Autonomy
Adaptation
State & Memory
Safety

Categories

Pricing

Pricing not publicly available

Details
AddedMarch 31, 2026
RefreshedMarch 31, 2026
Quick Facts
DeploymentSelf-hosted
AutonomyCopilot (human-in-loop)
Model supportSupports local models
Open sourceNo
Team supportIndividual only
Pricing modelFreemium
Interfacegui, cli, api
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