Deep Research Web UI
Ask a hard question and get back a cited report instead of a chat answer: Deep Research Web UI plans its own searches, reads the pages it finds, checks claims against the sources, and shows its work as it goes. The research unfolds as a live tree in your browser, each branch a search direction with streaming responses, so you watch a broad question narrow into answerable parts. When snippets are not enough, it fetches full source pages and extracts verbatim evidence, sharing one token and request budget across the run. Every claim cites its source inline, and clicking a citation opens an evidence panel with the source, retrieval time, and the excerpt behind the finding. Findings can be followed up: name what to verify and the agent searches again, updating only the passages that cite that finding while the original report stays untouched in your history. You bring the models, from OpenAI-compatible endpoints, DeepSeek, and OpenRouter to a local Ollama or LiteLLM proxy, paired with Tavily, Firecrawl, Google PSE, You.com, or Serply for the searching. Finished reports export as Markdown or PDF, search separates your question from time and source filters and retries once with a revised query when evidence is thin, and Server Mode keeps the team's API keys in environment variables behind an optional access password instead of in every visitor's browser. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.
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