#872 · Primary category: AI Agents & Automation
Automated-AI-Web-Researcher-Ollama
An automated research assistant that uses local LLMs via Ollama to plan, search, scrape, and summarize web findings on any topic.
Project last updated:12/14/24
GitHub Stars
3.0K
Forks
274
Contributors
9
License
MIT
Why we included this project
Instead of treating a local model as a chat box that answers one question at a time, this program gives it a longer job: take a single query, break it into prioritized research areas, run web searches and scrape the promising pages, and keep iterating on what it learns. Every finding lands in a text file with source links, so you end up with a cited pile of raw material rather than one synthesized reply. Research runs until you tell it to stop, at which point the model reviews everything it collected, writes a final summary, and answers follow-up questions about its findings. That suits literature-style digging, market or background research, and any task where you want the evidence saved, not just an answer. If you already run Ollama locally, it is a small tool that automates the browser-tab-by-browser-tab research loop you would otherwise do by hand.
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