Enthusiast

Enthusiast is an open-source, customizable AI agent toolkit built specifically for e-commerce. It enables developers and technical teams to build and deploy AI agents grounded in product data and workflows. The platform provides native connectors for Shopify, Shopware, Medusa.JS, and Solidus, enabling seamless synchronization of product catalogs, content, and documentation without additional integration work. Built with Python (Django), React, and LangChain, Enthusiast is highly extensible. Users can customize agents with Python plugins or custom tools without forking the core platform. It supports multiple AI models (OpenAI, Azure, Gemini, Mistral, Ollama) and allows swapping through configuration, ensuring flexibility and avoiding vendor lock-in. Key capabilities include natural-language product search, user manual search via RAG, OCR-to-order conversion from unstructured inputs like scanned invoices, and product catalog enrichment with validation agents. The toolkit can be deployed locally with Docker Compose or scaled on Kubernetes, with full control over infrastructure and data. Enthusiast distinguishes itself by offering transparency and control over AI outputs, grounded in actual product catalogs. It includes LangSmith tracing integration for monitoring agent runs. It is open-source and designed for teams requiring transparency, control, and customization.