Paper2Agent is a multi-agent AI system that automatically transforms research papers into interactive AI agents with minimal human input.

🤖 Transform research papers into interactive AI agents with minimal effort using Paper2Agent's multi-agent system for seamless tutorial execution.

Paper2Agent with Skills is featuring a Robust Adaptive Skill-Accretion (R-ASA) engine. It transforms research papers into active agents that dynamically synthesize, verify, and memorize executable skills, ensuring scientific robustness through self-correction and integrity checks.

Paper2Agent for H-Net

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Fork of Paper2Agent with personal research notes on the future of academic publishing

模仿paper2agent，改为deepseek版本

Benchmarking scripts and analysis for Paper2Agent

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A paper2agent MCP server for clustergram

A Cursor Composer-based version of Paper2Agent that transforms research papers into interactive AI agents

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A Paper2Agent implementation for Deepseek OCR2 paper

just sutdy！