jimmc414/onefilellm

Health v2 · maintenance only

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2022 stars · 195 forks observed · 2026-10-18

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

OneFileLLM is a Python command-line tool and library that aggregates content from sources like GitHub repos, pull requests, arXiv/Sci-Hub papers, YouTube transcripts, web pages, PDFs, and local files into a single structured XML text file. The output is automatically copied to the clipboard for easy pasting into Large Language Model prompts.

Use cases

• scrape a github repo into a single text file for llm context
• convert an arxiv paper to text for chatgpt
• extract youtube transcript for llm ingestion
• combine documentation urls into one file for a prompt
• pull a github pull request diff into llm context
• aggregate local pdfs and notebooks into one xml file
• crawl a docs site and feed it to an llm

When to choose

• you need to quickly assemble multi-source context for an LLM prompt
• you want a CLI or Python API to flatten repos, papers, and web pages into one file
• you want automatic clipboard copying of aggregated text

When to avoid

• you need a persistent RAG pipeline with embeddings and retrieval
• you need a GUI or web interface
• you only need to scrape a single page with no LLM-focused formatting

Facets

cli-tool · maturity active

web-scraping pdf developer-tools cli data-science developer-tools large-language-models python cli cross-platform llm-ingestion context-aggregation youtube-transcripts arxiv github-repos clipboard xml-output tiktoken command-line natural-language-processing

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