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README.md

title Getting Started with VisionClaw
description Your guided path to mastering VisionClaw - from installation to advanced features.
category tutorial
tags
getting-started
tutorial
installation
quickstart
updated-date 2026-04-09
difficulty-level beginner

Getting Started with VisionClaw

Welcome to VisionClaw. This guide will take you from zero to visualising your first 3D knowledge graph with AI agents.

Learning Path

Follow these tutorials in order for the best experience:

1. Overview

What is VisionClaw?

Understand VisionClaw's purpose, capabilities, and who it's designed for. Learn how it transforms knowledge management with AI agents and 3D visualisation.

  • What problems VisionClaw solves
  • Key capabilities and differentiators
  • Real-world use cases
  • Technical foundation overview

2. Installation

Installation Guide

Set up VisionClaw on your system with Docker or native installation.

  • System requirements (minimum, recommended, enterprise)
  • Docker and Docker Compose setup
  • GPU acceleration configuration
  • Troubleshooting common issues

3. First Graph

Build Your First VisionClaw Graph

Create your first 3D knowledge graph and deploy multi-agent workflows — with a quick path (15 min) and a deep path (45 min).

  • Start the stack and access the UI at http://localhost:3001
  • Connect a GitHub repository, import JSON, or build manually
  • Navigate the 3D space with mouse and keyboard
  • Enable GPU physics and watch the layout evolve
  • Launch AI agents and monitor execution in real-time

4. Neo4j Integration

Neo4j Basics

Add advanced graph analytics with Neo4j dual persistence.

  • Quick setup (3 steps)
  • Example Cypher queries
  • Performance comparison
  • Integration points

Quick Links

Resource Description
API Reference REST and WebSocket API documentation
Architecture System design and component overview
Troubleshooting Solutions to common problems
Configuration Customise VisionClaw settings

Prerequisites

Before you begin, ensure you have:

  • Docker Desktop (v20.10+) or Docker Engine with Compose
  • 8GB RAM minimum (16GB recommended)
  • Modern browser with WebGL support (Chrome 90+, Firefox 88+, Safari 14+)
  • Optional: NVIDIA GPU with CUDA 11.8+ for acceleration

Getting Help


Ready to begin? Start with the Overview to understand what VisionClaw can do for you.