# Rigorous

> Rigorous is a self-hosted, open-source Python tool using 24 AI agents to analyze academic manuscripts with detailed feedback and PDF reports.

- **Category:** AI
- **Licence:** MIT
- **Open source:** oss
- **Languages:** Python
- **Platforms:** Python
- **Tags:** Ai Agents, LLM, Research, Ai Tools, Python, Multi Agent, Science, Academic Writing, Research Tools, Scientific Writing, AI Peer Review, Manuscript Analysis, Academic Publishing, PDF Analysis, Academic Paper, Manuscript Analyses

## Description

Rigorous is an open-source AI-powered tool for scientific manuscript analysis developed by the Agentic Systems Lab. It implements a multi-agent system with 24 specialized agents organized into three categories: section agents (S1-S10) that analyze each manuscript section, rigor agents (R1-R7) that evaluate originality, impact, ethics, data availability, statistical rigor, technical accuracy, and consistency, and writing agents (W1-W7) that assess language, narrative, clarity, terminology, inclusive language, citations, and audience alignment. Quality control agents validate outputs across categories, and an executive summary agent provides a synthesized three-paragraph overview. The tool runs locally via Python CLI, requires an OpenAI API key (configurable for local LLMs), processes PDF manuscripts, and generates detailed JSON results and PDF reports. Currently at v0.1 for self-hosted use, with v0.2 available as a hosted web service at rigorous.review.

## Links

- [Homepage](https://github.com/agentic-systems-lab/rigorous)
- [Website](https://rigorous.review)
- [Documentation](https://github.com/Agentic-Systems-Lab/rigorous/blob/main/Agent1_Peer_Review/README.md)
- [GitHub Repository](https://github.com/Agentic-Systems-Lab/rigorous)

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Source: https://selfhost.directory/project/rigorous