{"id":50772042,"url":"https://github.com/Agentic-Systems-Lab/rigorous","last_synced_at":"2026-06-29T00:00:44.089Z","repository":{"id":288291296,"uuid":"963189192","full_name":"Agentic-Systems-Lab/rigorous","owner":"Agentic-Systems-Lab","description":"A comprehensive suite of tools, built to liberate science by making the creation, evaluation, and dissemination of research more transparent, affordable, and efficient.","archived":false,"fork":false,"pushed_at":"2025-08-08T22:24:23.000Z","size":188,"stargazers_count":210,"open_issues_count":0,"forks_count":14,"subscribers_count":6,"default_branch":"main","last_synced_at":"2025-09-01T16:49:00.113Z","etag":null,"topics":["academic-paper","academic-writing","ai-agents","ai-tools","llm","manuscript-analyses","python","research","science"],"latest_commit_sha":null,"homepage":"https://rigorous.review","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Agentic-Systems-Lab.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-04-09T09:45:37.000Z","updated_at":"2025-09-01T12:34:40.000Z","dependencies_parsed_at":"2025-05-04T04:21:56.489Z","dependency_job_id":"9d66f120-f701-47df-81f4-ca9879ba0b7e","html_url":"https://github.com/Agentic-Systems-Lab/rigorous","commit_stats":null,"previous_names":["robertjakob/rigorous","agentic-systems-lab/rigorous"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Agentic-Systems-Lab/rigorous","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Agentic-Systems-Lab%2Frigorous","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Agentic-Systems-Lab%2Frigorous/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Agentic-Systems-Lab%2Frigorous/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Agentic-Systems-Lab%2Frigorous/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Agentic-Systems-Lab","download_url":"https://codeload.github.com/Agentic-Systems-Lab/rigorous/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Agentic-Systems-Lab%2Frigorous/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34907985,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-28T02:00:05.809Z","response_time":54,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["academic-paper","academic-writing","ai-agents","ai-tools","llm","manuscript-analyses","python","research","science"],"created_at":"2026-06-11T20:00:25.090Z","updated_at":"2026-06-29T00:00:44.077Z","avatar_url":"https://github.com/Agentic-Systems-Lab.png","language":"Python","funding_links":[],"categories":["Academic Writing and LaTeX"],"sub_categories":["Economic Data Sources"],"readme":"# Rigorous AI-Powered Scientific Manuscript Analysis\n\n\u003e **v0.2 Now Live:** The latest version of the AI Reviewer (v0.2) is now available at [https://www.rigorous.review/](https://www.rigorous.review/). Upload your manuscript, provide context on your target journal and receive structured feedback directly online via an interactive interface — now with progress tracking built in. Once initial testing of v0.2 is complete, we will make all module prompts open source to promote transparency and enable community contributions.\n\n\u003e **Help Us Improve!** Please provide feedback via [this short feedback form](https://docs.google.com/forms/d/1EhQvw-HdGRqfL01jZaayoaiTWLSydZTI4V0lJSvNpds) to help us improve the system.\n\n\u003e Support AI Reviewer v0.3 by rocking some *peer-reviewed merch* 👕🧠 – [grab yours here](https://rigorous-shop.fourthwall.com/) – GitHub contributors get free gear.\n\n## Vision\n\nThis repository is intended for tools that make the creation, evaluation, and distribution of scientific knowledge more transparent, cheaper, faster, and better. Let's build this future together!\n\n## Project Structure\n\n- **Agent1_Peer_Review**: Multiagent AI review system for comprehensive manuscript analysis, detailed feedback, and PDF report generation (v0.1).\n- **Agent2_Outlet_Fit**: (In Development) Tool for evaluating manuscript fit with target journals/conferences.\n\n## Current Status\n\n### Active Tools\n- **Agent1_Peer_Review**: ✅ v0.1 Ready for use!\n  - Comprehensive manuscript analysis with specialized agents\n  - Detailed feedback on sections, scientific rigor, and writing quality (including quality control loops)\n  - JSON output with actionable recommendations\n  - PDF report generation\n  - [📄 Detailed Documentation and Key Areas for Contribution](https://github.com/robertjakob/rigorous/blob/main/Agent1_Peer_Review/README.md)\n\n### In Development\n- **Agent2_Outlet_Fit**: 🚧 In Development\n  - Core functionality being implemented\n  - Integration with Agent1_Peer_Review in progress\n  - Testing and validation ongoing\n  - [🛠️ Development Plan](https://github.com/robertjakob/rigorous/blob/main/Agent2_Outlet_Fit/README.md)\n\n### Future Modules and Ideas\n- **Embedding-based similarity analysis** (by [@andjar](https://github.com/andjar)): Use embeddings (as in [*The landscape of biomedical research*](https://github.com/berenslab/pubmed-landscape)) to compare a paper’s abstract with existing literature. This could help surface uncited but relevant work and suggest suitable journals based on similarity clusters.\n- Support for Drafting Reviewer Reponses.\n- Feedback on Research Proposals and Protocols.\n- AI-enabled document creation tool (\"Cursor for Papers\").\n  \n## Requirements\n\n- Python 3.7+\n- OpenAI API key (the system can be adapted to alternative LLMs, including locally hosted ones)\n- PDF manuscripts to analyze\n- Dependencies listed in each tool's requirements.txt\n\n## Contributing\n\nContributions are welcome! Please feel free to submit a Pull Request.\n\n## Citation\n\nIf you use the Rigorous AI Reviewer in your research or project, please cite:\n\n```bibtex\n@software{rigorous_ai_reviewer2025,\n  author = {Jakob, Robert and O'Sullivan, Kevin},\n  title = {Rigorous AI Reviewer: Enabling AI for Scientific Manuscript Analysis},\n  year = {2025},\n  publisher = {GitHub},\n  url = {https://github.com/robertjakob/rigorous}\n}\n``` \n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://i.imgur.com/57BI7Ww.jpeg\" width=\"400px\" alt=\"Team Image\"/\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n  \u003cstrong\u003eFollow Robert\u003c/strong\u003e\u003cbr\u003e\n  \u003ca href=\"https://www.linkedin.com/in/robertjakob/\" style=\"margin-right: 10px;\"\u003e\n    \u003cimg src=\"https://img.shields.io/badge/LinkedIn-Robert-blue?logo=linkedin\u0026style=social\" alt=\"Follow Robert on LinkedIn\"\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://x.com/robertjakob\"\u003e\n    \u003cimg src=\"https://img.shields.io/twitter/follow/robertjakob?style=social\" alt=\"Follow @robertjakob on X\"\u003e\n  \u003c/a\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n  \u003cstrong\u003eFollow Kevin\u003c/strong\u003e\u003cbr\u003e\n  \u003ca href=\"https://www.linkedin.com/in/kevosull/\"\u003e\n    \u003cimg src=\"https://img.shields.io/badge/LinkedIn-Kevin-blue?logo=linkedin\u0026style=social\" alt=\"Follow Kevin on LinkedIn\"\u003e\n  \u003c/a\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n  Made with ❤️ in Zurich\n\u003c/p\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FAgentic-Systems-Lab%2Frigorous","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FAgentic-Systems-Lab%2Frigorous","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FAgentic-Systems-Lab%2Frigorous/lists"}