Sim Studio

Sim Studio is an open-source platform designed for building and deploying AI agent workflows through an intuitive visual interface. It eliminates the need for extensive coding by providing a canvas-based workflow builder where you can connect agents, tools, and blocks to create sophisticated AI automations. With built-in vector database support and seamless integration with popular AI providers, Sim Studio enables teams to rapidly prototype and deploy production-ready AI workflows.

Common Use Cases

Sim Studio is widely used by AI engineers and product teams for building custom AI assistants with specialized knowledge bases through document uploads and vector embeddings. It's popular among developers creating multi-agent systems that orchestrate complex workflows across different AI models and services. Many teams use Sim Studio for rapid prototyping of AI features before committing to code, as well as for building internal tools that leverage AI capabilities without requiring deep ML expertise. The platform is also ideal for research teams experimenting with different AI models and workflow patterns.

Key Features

• Visual workflow builder with drag-and-drop agent and tool connections
• Built-in Copilot for generating nodes and fixing errors with natural language
• Vector database integration with pgvector for knowledge base creation
• Support for multiple AI providers: OpenAI, Claude, Groq, and local models via Ollama
• Real-time workflow execution with WebSocket-based updates
• Document upload and embedding generation for context-aware AI agents
• Self-hosted deployment with complete data ownership and control
• Python and TypeScript SDKs for programmatic workflow execution

Why deploy Sim Studio on Hostinger VPS

Deploying Sim Studio on a Hostinger VPS provides the dedicated resources and performance required for running AI workflows at scale. Hostinger VPS offers full root access and reliable resource allocation, ensuring Sim Studio's Docker services run smoothly with proper memory limits for the application (8GB) and realtime service (4GB). The VPS environment supports PostgreSQL with pgvector extension for efficient vector storage and retrieval, which is critical for AI knowledge base operations. With custom domain support, SSL configuration, and stable networking, you can securely expose your AI workflows and integrate them into production systems. This makes Hostinger VPS an ideal platform for teams that need a powerful, self-hosted AI automation platform with complete control over their data and infrastructure.