Building an AI research agent? Start with these 10 GitHub repos.
They help AI find credible sources, read research papers, extract information, and generate answers backed by evidence.
1. OpenAlex – Explore scholarly research data.
https://github.com/ourresearch/openalex
2. Open Deep Research – Build agents that conduct multi-step research.
https://github.com/langchain-ai/open_deep_research
3. PaperQA – Get answers from scientific papers with citations.
https://github.com/Future-House/paper-qa
4. GROBID – Extract structured information from research PDFs.
https://github.com/kermitt2/grobid
5. Semantic Scholar API – Access paper metadata and citation data.
https://github.com/allenai/s2-folks
6. Open Research Knowledge Graph – Turn research findings into structured knowledge.
https://orkg.org
7. http://arxiv.py – Search and track research papers from arXiv.
https://github.com/lukasschwab/arxiv.py
8. Haystack – Build search, retrieval, and question-answering pipelines.
https://github.com/deepset-ai/haystack
8. LlamaIndex – Connect LLMs to documents and external data.
https://github.com/run-llama/llama_index
10. Oxylabs Web API MCP – Give research agents access to live web data.
https://github.com/oxylabs/web-api-mcp
The real value of a research agent isn't just how well it writes.
It's how well it finds evidence, checks sources, and supports its answers.
Bookmark this list for your next AI project.