---
title: "Search papers and GitHub repos from an AI agent – superbot.gg"
canonical_url: "https://superbot.gg/use-cases/search-papers-and-github-repos-from-an-agent"
summary: "Your agent searches scholarly papers and GitHub repositories and gets a link for each, with the citation count for a paper and the stars for a repo."
---

> Markdown of https://superbot.gg/use-cases/search-papers-and-github-repos-from-an-agent. Site index: /llms.txt.

# Search papers and GitHub repos from an agent

Your agent searches scholarly papers.
It searches GitHub repositories too.

[Get the app](https://superbot.gg/download?cta%5Fid=page%5Finstall) [see the real call](https://superbot.gg/use-cases/search-papers-and-github-repos-from-an-agent#call)

## What you get

- Scholarly papers on a topic, with a link to each.
- GitHub repositories on a topic, with stars, language, licence and the date of the last push.

## Ask your agent

Connect superbot once.
Other clients are on [the install page](https://superbot.gg/add).

```sh
claude mcp add --transport http superbot https://api.superbot.gg/mcp -s user
```

With no browser, post to the install route instead.

```sh
curl -fsS -X POST https://api.superbot.gg/mcp/install -d client=claude-code
```

Then ask in plain words.

```
superbot({"intent": "Find papers on speculative decoding and GitHub repos that implement it."})
```

This needs an account.
An agent with none signs you in through [/auth.md](https://superbot.gg/auth.md).
You read back one emailed code.

## One real call

A real call, run on 2026-10-18 from a test account.
The reply is the agent's own, with its heading, its sources block and an account label cut.
Em dashes are shown as hyphens.

call

```
superbot({"intent": "Find three scholarly papers on retrieval augmented generation and three GitHub repositories for it, with links."})
```

reply

```
Three RAG papers and three repos.

**Papers** (from OpenAlex, read 2026-10-18):

1. [**Retrieval-Augmented Generation for Large Language Models: A Survey**](https://arxiv.org/pdf/2312.10997) - Gao et al., 2023. The standard survey: naive, advanced and modular RAG, cited 871 times.
2. [**Active Retrieval Augmented Generation**](https://aclanthology.org/2023.emnlp-main.495.pdf) - Jiang et al., EMNLP 2023. Retrieval decided while generating (FLARE), cited 472 times.
3. [**Benchmarking Large Language Models in Retrieval-Augmented Generation**](https://ojs.aaai.org/index.php/AAAI/article/download/29728/31250) - Chen et al., AAAI 2024. Recite, Noise Robustness, Counterfactual Robustness and Information Integration benchmarks, cited 444 times.

**Repositories** (from GitHub, read 2026-10-18):

1. [**infiniflow/ragflow**](https://github.com/infiniflow/ragflow) - 92,401 stars, Apache-2.0, pushed 2026-10-17. Open-source RAG engine with agent features.
2. [**HKUDS/LightRAG**](https://github.com/HKUDS/LightRAG) - 40,198 stars, MIT, pushed 2026-10-15. Graph-based RAG, the code for the EMNLP 2025 LightRAG paper.
3. [**microsoft/graphrag**](https://github.com/microsoft/graphrag) - 36,370 stars, MIT, pushed 2026-10-12. Modular graph-based RAG system.
```

A paper and repo search, run live. Three of each.

## Limits

Needs

A superbot account.

As of

Counts are those of the day of the search. In the call above, stars and citations are the figures on 2026-10-18.

## Related

- [Web search for an agent, with no API key](https://superbot.gg/use-cases/web-search-for-agents-without-an-api-key)
- [Read a web page as clean text](https://superbot.gg/use-cases/read-a-web-page-as-clean-text)
- [Quick facts for agents, in one tool](https://superbot.gg/use-cases/quick-facts-for-agents-in-one-tool)
- [All use cases](https://superbot.gg/use-cases)

Papers and repositories as they stood on the day of the call. Read on 2026-10-18.