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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A python program that turns an LLM, running on Ollama, into an automated researcher, which will with a single query determine focus areas to investigate, do websearches and scrape content from various relevant websites and do research for you all on its own! And more, not limited to but including saving the findings for you!
| Date | Stars |
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| 2026-07-31 | 3009 |
| 2026-08-01 | 3009 |
| 2026-08-02 | 3007 |
| 2026-08-03 | 3007 |
| 2026-08-05 | 3008 |
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| 2026-08-09 | 3004 |
| 2026-08-11 | 3007 |
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| 2026-08-15 | 3006 |
| 2026-08-17 | 3007 |
| 2026-08-18 | 3008 |
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| 2026-08-25 | 3010 |
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| 2026-09-13 | 3012 |
| 2026-09-14 | 3013 |
| 2026-09-16 | 3014 |
| 2026-09-19 | 3015 |
| 2026-09-20 | 3015 |
Today
— stars today
This week
+3 stars this week
This month
+6 stars this month
Momentum
3.0
growth rate 0.10%/day
# Automated-AI-Web-Researcher-Ollama
## BRAND NEW SUCCESSOR PROGRAM 20x larger codebase, and is hallucination proof and searches academic articles instead of the internet now released!!!:
https://github.com/TheBlewish/Academic-AI-Literature-Reviewer-Ollama
## Description
Automated-AI-Web-Researcher is an innovative research assistant that leverages locally run large language models through Ollama to conduct thorough, automated online research on any given topic or question. Unlike traditional LLM interactions, this tool actually performs structured research by breaking down queries into focused research areas, systematically investigating each area via web searching and scraping relevant websites, and compiling its findings. The findings are automatically saved into a text document with all the content found and links to the sources. Whenever you want it to stop its research, you can input a command, which will terminate the research. The LLM will then review all of the content it found and provide a comprehensive final summary of your original topic or question. Afterward, you can ask the LLM questions about its research findings.
## Project Demonstration
[](https://youtu.be/hS7Q1B8N1mQ "My Project Demo")
Click the image above to watch the demonstration of my project.
## Here's How It Works:
1. You provide a research query (e.g., "What year will the global population begin to decrease rather than increase according to research?").
2. The LLM analyzes your query and generates 5 specific research focus areas, each with assigned priorities based on relevance to the topic or question.
3. Starting with the highest priority area, the LLM:
- Formulates targeted search queries
- Performs web searches
- Analyzes search results, selecting the most relevant web pages
- Scrapes and extracts relevant information from the selected web pages
- Documents all content found during the research session into a research text file, including links to the websites that the content was retrieved from
4. After investigating all focus areas, the LLM generates new focus areas based on the information found and repeats its research cycle, often discovering new relevant focus areas based on previous findings, leading to interesting and novel research focuses in some cases.
5. You can let it research as long as you like, with the ability to input a quit command at any time. This will stop the research and cause the LLM to review all the content collected so far in full, generating a comprehensive summary in response to your original query or topic.
6. The LLM will then enter a conversation mode where you can ask specific questions about the research findings if desired.
The key distinction is that this isn't just a chatbot—it's an automated research assistant that methodically investigates topics and maintains a documented research trail, all from a single question or topic of your choosing. Depending on your system and model, it can perform over a hundred searches and content retrievals in a relatively short amount of time. You can leave it running and return to a full text document with over a hundred pieces of content from relevant websites and then have it summarize the findings, after which you can ask it questions about what it found.
## Features
- Automated research planning with prioritized focus areas
- Systematic web searching and content analysis
- All research content and source URLs saved into a detailed text document
- Research summary generation
- Post-research Q&A capability about findings
- Self-improving search mechanism
- Rich console output with status indicators
- Comprehensive answer synthesis using web-sourced information
- Research conversation mode for exploring findings
## Installation
**Note:** To use on Windows, follow the instructions on the [/feature/windows-support](https://github.com/TheBlewish/Automated-AI-Web-Researcher-Ollama/treExcerpt of 9,180 characters
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Ikko Eltociear Ashimine · Japan
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synth-mania
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Matt-O
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:5dab8f748bae8928, desc:scrape