Open Deep Research - AI-Powered Autonomous Research Workflow

n8n template #2883

Summary

Open Deep Research - AI-Powered Autonomous Research Workflow Description This workflow automates deep research by leveraging AI-driven search queries, web scraping, content analysis, and structured reporting. It enables autonomous research with iterative refinement, allowing users to collect, analyze, and summarize high-quality information efficiently. How it works 🔹 User Input The user submits a research topic via a chat message. 🧠 AI Query Generation A Basic LLM generates up to four refined search queries to retrieve relevant information. 🔎 SERPAPI Google Search The workflow loops through each generated query and retrieves top search results using the SerpAPI API. 📄 Jina AI Web Scrapin

How to set it up

Open template #2883 on n8n.io and click Use for free, or copy the template JSON and paste it onto an empty canvas in n8n.
No app accounts to connect: every node is built into n8n.
Check the model in the AI Agent node. The template may point at a model your account can't use; swap it for one you have access to.
Click Execute workflow and step through each node's output to confirm the data looks right.
Toggle the workflow to Active so its trigger runs on its own.

Hand off to your agent

Prompt

Help me set up the n8n workflow "Open Deep Research - AI-Powered Autonomous Research Workflow" (https://n8n.io/workflows/2883). It uses: HTTP Request, Code, AI Agent, Basic LLM Chain, Simple Memory, Wikipedia. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.

Paste into Claude Code and it will do the rest.

Apps and nodes

HTTP Request Code AI Agent Basic LLM Chain Simple Memory Wikipedia

Questions

Yes. Leonard published it free on n8n.io as a verified creator, and it has 21K views. It runs on n8n Cloud or a self-hosted n8n instance.

None. All 6 nodes are built into n8n.

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