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Context for your AI agents
Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.
Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
Web framework for building multi-user virtual reality experiences
Multi-user VR on the Web. A framework for writing multi-user VR apps in HTML and JS. Built on top of A-Frame. Follow the NAF Getting Started tutorial to build your own example from scratch, including setting up a local server. Networked-Aframe works by syncing entities and their components to connected users. To connect to a room you need to add the networked-scene component to the a-scene element. For an entity to be synced, add the networked component to it. By default the position and...
CoffeeMud is a text-based virtual reality game engine (a MUD). It is a mature, full-featured Java codebase. It includes web (HTTP) and email (SMTP) servers, chat (IMC2 and I3) and web clients, and supports ANSI, MXP, and MSP.