jmiao24/Paper2Agent

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2338 stars · 347 forks observed · 2026-08-28

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

Paper2Agent is a multi-agent AI system that automatically converts research paper codebases into interactive AI agents with minimal human input. It analyzes a GitHub repository, detects its tutorials, and generates agents that can perform the paper's analyses.

Use cases

• turn a research paper's codebase into an interactive AI agent
• automatically run tutorials from a paper's GitHub repo
• create an agent for single-cell transcriptomics analysis from the TISSUE paper
• build a Scanpy agent for preprocessing and clustering
• reproduce analyses from papers without reading the code manually

When to choose

• you want to make a published paper's methods usable as a conversational agent
• you need to automate running tutorials from a research codebase
• you work in computational biology and want paper-derived analysis agents

When to avoid

• you need a fast or free pipeline - runs can take 30 minutes to 3+ hours and cost ~$15 in LLM API fees
• the paper has no public codebase or tutorials to analyze
• you need fully deterministic, non-LLM-driven reproducibility

Facets

framework · maturity active

agent-framework llm-inference workflow-automation developer-tools artificial-intelligence large-language-models developer-tools bioinformatics python cli cross-platform multi-agent research-papers paper-to-agent claude scientific-computing automation ai-agents

Member repositories

For agents

markdown · JSON · MCP: product_card(name="jmiao24/Paper2Agent")