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PocketBrain

Local model marketplace

Choose the model that fits the job — and your device.

PocketBrain helps you explore compatible models by size and purpose, then manage them locally.

Model selection

Small models

Designed for lighter downloads and everyday tasks on more devices.

Model selection

Medium models

A balanced option for richer responses and practical local workflows.

Model selection

Large models

For capable hardware and work that benefits from more model capacity.

Manage locally

A model lifecycle you control.

Download models when you need them, pause or resume transfers, retry downloads, switch installed models, and remove models you no longer want.

  • Purpose-based recommendations, not invented benchmark claims
  • Multiple supported models can be installed
  • Model downloads can pause, resume, and retry
  • Storage, hardware, and native runtime influence what fits

Select deliberately

What to consider before downloading.

Task

Purpose before size

Start with the kind of writing, chat, or file work you want to do.

Hardware

Your device sets the ceiling

Memory, storage, and native runtime affect which models are practical.

Control

Keep your library tidy

Install more than one model, switch when needed, and delete what you no longer use.

Your model choices stay yours.

Explore PocketBrain’s local-first model workflow.

The PocketBrain approach

Built around local control.

Start offline-first

After a compatible model is installed, core workflows can continue without an internet connection.

Keep work close

PocketBrain has no cloud chat backend and does not require an account for core use.

Choose your setup

Your models, local storage, and files remain under your control on the device.

Before you begin

A practical local AI setup.

PocketBrain works best when your device and model choice are planned together.

Common questions

The essentials, clearly answered.

PocketBrain’s capability is shaped by its local model, native runtime, and your device. Start here, then explore the complete FAQ.

Read the full FAQ →

Core compatible workflows can work offline after a model is installed. What is available depends on the model, device hardware, and native runtime.

Keep exploring

Everything you need, in one place.