Perform deep, multi-step web research autonomously using local LLMs. Ensure your data privacy without sacrificing analytical power.
Privacy-First Autonomous Research
Commercial research agents like perplexity.ai are powerful but pose significant privacy risks when dealing with proprietary company data. Local Deep Research provides an open-source alternative that runs entirely on your own hardware using tools like Ollama or LM Studio.
A localized AI engine autonomously crawling, synthesizing, and summarizing data behind a secure firewall.
How It Works
Instead of sending your query to a cloud API, the system orchestrates a multi-step workflow locally:
- Query Expansion: The local LLM breaks down your core question into multiple specific search queries.
- Web Scraping: It fetches raw HTML from search engines (using privacy-friendly APIs like SearXNG).
- Content Extraction: It strips away ads and boilerplate, extracting only the relevant text.
- Synthesis & Sourcing: The LLM reads all the text, cross-references facts, and writes a comprehensive report with inline citations.
"Run hours of deep, investigative research while keeping your network disconnected. Total privacy meets absolute intelligence."
