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Littleaibox — antonkarasbiz

LittleAIBox is an open-source conversational AI client for web, PWA and Android that connects to Gemini-compatible model APIs and includes an API pooling and relay layer. It offers task presets, local parsing of common office documents, conversation history, and user-managed model keys.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Littleaibox — antonkarasbiz — OpenViST project profile in Chat & Assistants.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use LittleAIBox when you want a web or Android AI chat workspace for coding, research or document analysis and can provide compatible model API keys. Its PWA mode also supports offline client use.

Who it is for

  • Developers seeking file-aware coding help without uploading a workspace.
  • Researchers analyzing papers or slides in a browser.
  • People using a relay or pooled model access in restricted networks.
  • Privacy-conscious teams that want local file and history handling and their own model keys.

Documented uses

  • Chat with an AI for general questions, writing, translation or coding.
  • Parse and discuss PDF, DOCX, PPTX and XLSX files from the client.
  • Use research workflows with optional web search or Semantic Scholar mode.
  • Manage two model API keys with health checks and failover.
Before you choose

Requirements & limits

  • Users bring their own keys for Gemini-compatible model APIs.
  • The README describes client-side parsing and IndexedDB conversation storage, with files and history kept locally whenever possible.
  • PWA offline support concerns the client; model-backed responses require access to a compatible API.
  • The repository documents a Vite frontend, Capacitor Android packaging, and Cloudflare or edge-worker relay components.

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

Set up the LittleAIBox development client

Install the project dependencies and start the documented local development server.

Before you start

  • A local copy of the JavaScript repository
  • Node.js and npm

Steps

  1. Run the command below in the project directory.

    Documented command
    npm install

  2. Run the command below to start the development server.

    Documented command
    npm run dev

  3. Configure model keys and relay settings in the application UI before using model-backed features.

Expected outcome

The development client is started, with model access settings configured through its UI.

Guide limitations

  • The README does not specify Node.js versions or provide a complete deployment procedure.
  • Model keys are user-managed; do not commit secrets.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
15 October 2026
Original website title
antonkarasbiz/littleaibox · Official homepage title · retained in its source language
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