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Captain

Captain is a Windows-focused desktop application for launching AI apps, running AI models locally, and using image-generation and image-to-story workflows.

Independent OpenViST project profile, based on linked sources.

Captain — OpenViST project profile in Local & Self-hosted AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Captain when you want a desktop interface for local AI workflows and meet its documented Windows, NVIDIA GPU, CUDA Toolkit, and driver requirements.

Who it is for

  • Windows users with NVIDIA hardware who want to explore locally run AI models.
  • People looking for a desktop launcher and dashboard to find, install, and manage AI apps.
  • Users interested in creating images and generating stories from images.

Documented uses

  • Launch built-in AI apps from a keyboard-driven Prompt.
  • Find and install AI apps through a dashboard marketplace.
  • Run AI models on a computer without an internet connection.
  • Create artwork with Live Painting and generate narratives from images with Story.
  • Search images, stories, and documents in a local vector database with Explorer.
Before you choose

Requirements & limits

The project documents a Windows installer and labels Captain alpha. Its README lists macOS and Linux as coming soon.

  • The README identifies Windows with an NVIDIA GPU, NVIDIA CUDA Toolkit for Windows, and a current NVIDIA driver as the setup Captain currently works best with.
  • The installation may download large files and can ask for Qdrant network access.
  • The project is open source under the AGPL-3.0 license.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install Captain on a Windows PC

Install the alpha desktop app using its documented Windows setup path.

Before you start

  • Windows PC with an NVIDIA GPU
  • NVIDIA CUDA Toolkit for Windows
  • Latest NVIDIA driver for the GPU

Steps

  1. Download the Captain installer from the project’s releases page.

  2. Open the installer and choose an installation location.

  3. Follow the installer instructions and allow time for large files to download.

  4. If prompted, allow Qdrant network access so Captain can operate.

Expected outcome

The README says Captain starts after setup is complete.

Guide limitations

  • Captain is labeled alpha and the project says the listed Windows and NVIDIA setup is where it currently works best.
  • The README warns that Windows may show a warning because the alpha installer is not signed by Microsoft.
Source-based practical guide

Open built-in apps from Captain’s Prompt

Use the Prompt to find and start a documented built-in AI app.

Before you start

  • Captain installed and started

Steps

  1. Open the Prompt with Ctrl+Alt+Space.

  2. Enter a request such as “I want to draw something” and select Live Painting, or enter “Create a story” and select Story.

Expected outcome

The selected built-in app opens for artwork creation or story generation based on images.

Guide limitations

  • The README documents these app-selection examples but does not specify model settings or generation parameters.
COMPARE OPTIONS

Compare options for Vector search

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
CaptainLaunch built-in AI apps from a keyboard-driven Prompt.Desktop, Self-hosted, WindowsThe project documents a Windows installer and labels Captain alpha. Its README lists macOS and Linux as coming soon.
TinyllmSet up an inference server for a local language model.Self-hosted, Web
Evidence and transparency

Sources & review

Source record details
Source availability
Active
Sources checked
18 October 2026
Original website title
blib-la/captain · Official homepage title · retained in its source language