Perplexity's answer-engine experience, self-hostable and open-source: Morphic searches the web and writes cited answers. Instead of returning a list of links, it searches the web, reads the sources, and generates a complete answer with inline numbered citations. The generative UI streams rich components, source cards with thumbnails, image grids, syntax-highlighted code, and LaTeX math, rather than plain markdown. Quick mode answers fast; Adaptive mode runs deeper multi-step research. Search backends are pluggable: the Docker Compose bundle ships with a private SearXNG instance so no search API key is required, and Tavily, Brave, and Exa are supported alternatives. LLM providers include OpenAI, Anthropic, Google, Ollama, and any OpenAI-compatible endpoint, with per-mode model mapping - fast, cheap models for quick searches, stronger models for adaptive research, tuning the cost-quality trade-off per query type. An inspector panel exposes tool execution during multi-step research, and AI-suggested follow-up questions keep an investigation moving. Chat history persists in PostgreSQL, results are shareable by URL, file uploads feed context into queries, and optional Supabase authentication adds multi-user or guest access. Because the default search path is your private SearXNG instance, research topics never hit a commercial search API - and with local Ollama models the marginal cost of a query approaches zero. Built with Next.js, TypeScript, and the Vercel AI SDK under Apache 2.0.

Tracking how ChatGPT, Claude, Gemini, Perplexity, and Google's AI answers talk about your brand, Elmo gives you a self-hosted dashboard for measuring and improving your AI search visibility. A setup wizard reads your website and suggests keywords, competitors, buyer personas, and tracking prompts. Behind the scenes, a worker reruns every tracked prompt on a schedule against the engines you connect, using scraping providers such as BrightData, Oxylabs, or SearchApi for real consumer experiences, or direct OpenAI, Anthropic, Mistral, and OpenRouter APIs. Each run feeds visibility scores per prompt and per model, mention tracking across names, aliases, and domains, sentiment from positive to negative, and each company's position in the answer. The Responses page filters answers by model, tag, prompt, or sentiment and highlights the passage behind each judgment. Citation analysis sorts cited URLs into your domains, competitors, social media, Google properties, and institutional sources. A share-of-voice leaderboard ranks competitors against you over time. Query fan-out shows the web searches engines ran before answering. Opportunities turns the numbers into a prioritized list of content to create, pitch, and seed. Shareable reports reach stakeholders without an account, and a REST API with TypeScript and Python SDKs plus an MCP server lets coding agents query the data. Raw engine output stays in your own database for later audit. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.