Autonomous deep research and analytics agent

n8n · complex · 17 nodes

Open Deep Research is an n8n automation template that runs an autonomous AI research agent: it takes a user query via chat, generates targeted search queries, gathers and analyzes data from multiple sources, and produces a comprehensive research report. The workflow contains 17 nodes — OpenRouter supplies the LLM for query generation and context extraction, SerpAPI handles batched web search, Jina AI performs page-level analysis, and Wikipedia fetches encyclopedic background, with two memory buffers keeping context across stages. Trigger: Chat Message (chatTrigger). Integrations: HTTP Request (SerpAPI, Jina AI, OpenRouter, Wikipedia). Nodes: 17. Ideal for researchers and teams looking to automate deep-dive topic analysis without manually browsing and synthesizing sources.