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An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models.
The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic. Goal is to keep the repo size at <500 LoC so it is easy to understand and build on top of.
The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction over time and deep dive into a topic. Goal is to keep the repo size at <500 LoC so it is easy to understand and build on top of.
If you like this project, please consider starring it and giving me a follow on [X/Twitter](https://x.com/dzhng). This project is sponsored by [Aomni](https://aomni.com).
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If you have a paid version of Firecrawl or a local version, feel free to increase the `ConcurrencyLimit` in `deep-research.ts` so it runs a lot faster.
If you have a free version, you may sometime run into rate limit errors, you can reduce the limit (but it will run a lot slower).
If you have a free version, you may sometimes run into rate limit errors, you can reduce the limit (but it will run a lot slower).
### Custom endpoints and models