Rating
Votes
0
score
Downloads
0
total
Price
Free
No login needed
Works With
About
Backward-traceable AI-driven Research
[](https://opensource.org/licenses/MIT)
data-to-paper is an automation framework that systematically navigates interacting AI agents through a complete end-to-end scientific research, starting from raw data alone and concluding with transparent, backward-traceable, human-verifiable scientific papers (Example AI-created paper, Copilot App DEMO). This repository is the code implementation for the paper "Autonomous LLM-Driven Research — from Data to Human-Verifiable Research Papers".
- End-to-end field-agnostic research. The process navigates through the entire scientific path,
from data exploration, literature search and ideation, through data analysis and interpretation, to the step-by-step writing of a complete research papers.
- Traceable "data-chained" manuscripts. Tracing information flow, data-to-paper creates backward-traceable and verifiable manuscripts,
where any numeric values can be click-traced all the way up to the specific code lines that created them (data-chaining DEMO).
Compatible with popular AI development environments.
Category: Developer Tools
Don't lose this
Three weeks from now, you'll want data-to-paper again. Will you remember where to find it?
Save it to your library and the next time you need data-to-paper, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
data-to-paper. Best for developers and power users who want to extend their AI workflow with developer tools capabilities. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from awesome:e2b-dev/awesome-ai-agents
Ratings & Reviews
0.0
out of 5
0 ratings
No reviews yet. Be the first to share your experience.