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jihe520/

MathModelAgent

GitHubWebsite

MathModelAgent is an open-source Python project that automates mathematical modeling tasks and generates a ready-to-submit paper using a multi-agent, multi-LLM setup with optional web search and local knowledge base features.

3.2kstars
322forks
27issues
2025since
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Reviewgenerated from repository data · Aug 5, 2026

What it is

MathModelAgent is an Agent designed for mathematical modeling that automatically analyzes problems, models, codes, debugs, and generates a formatted research paper ready for submission. It supports multiple agents and multiple LLMs, and provides features such as a Code Interpreter (local via Jupyter notebooks and cloud options), web search, a RAG knowledge base with local retrieval, and a Typst-based paper output. The project emphasizes end-to-end automation from problem analysis to paper acceptance, driven by a SKILL layer intended to be configured and extended without a Harness layer.

How it works

The repository describes a SKILL-driven workflow where stages (e.g., analysis, modeling, coding, plotting, writing) are orchestrated to complete a math modeling task. It supports injecting prompts per subtask, connects to various models via Litellm, and can leverage web search (via Tavily API) and a local knowledge base (ChromaDB + Rerank). It also supports human-in-the-loop decision actions (confirm, edit, regenerate, ask, skip, abort) and multiple fault-tolerance layers.

Getting started

Install & usage instructions are provided under the SKILLS section:

npx skills add jihe520/MathModelAgent --all
// claude
claude --dangerously-skip-permissions
claude: /1start-mathmodel 完成这个数学建模任务

// codex
codex --yolo
codex: $start-mathmodel 完成这个数学建模任务
/doctor:  检查环境配置
/typst-author: typst 知识

下载项目:

git clone https://github.com/jihe520/MathModelAgent.git

方案一为 Docker 部署,方案二为本地部署,方案三为自动脚本部署。各方案包含步骤与命令示例,如启动服务、访问前端/后端、配置 API Key,以及环境变量配置。

运行与部署要点(摘录命令)

docker-compose up
cd backend
pip install uv
uv sync
cd frontend
pnpm i

以及多处启动命令用于后端、前端及 Redis。

Recent releases

最新发布为 v0.0.1 MathModelAgent demo releases !!! (2025-05-05),属于演示版本;仓库最近提交日期为 2026-07-20,说明仍有活跃更新。题为“最新 releases”列出该版本信息。

Traction

GitHub 级别指标:stars 3177(无时间段拆分), forks 322, open_issues 27;语言 Python;许可证未列出。创建日期 2025-01-30,最近一次推送 2026-07-20。

Behind the repo

与 DeepWiki、Zread 等外部资源相关联的引用在文档中列出,提供外部协作与贡献渠道,但未提供具体公司/初创描述的链接信息。

Caveats

License 未列出(license: none listed)。项目处于“开发实验阶段”且有多处待实现/待改进的计划与 TODO 注释,文档中明确存在很多待改进项和公告性警示。

Agent skills inside · 10
All skills →
mathmodel-figure-templatesUse this skill in the MathModel LaTeX sandbox when the user asks to reproduce built-in scientific visualization templates, especially prompts from the Improve tab mentioning $mathmodel-figure-templates, 科研绘图模板, SHAP蜂群柱状图, 配对云雨图, 交叉验证ROC, 泰勒图, 相关矩阵组合图, 预测真实值边缘分布图, TPE调参3D曲面, 下三角相关矩阵半边小提琴图, 分组环形热图, 城市公园降温组合图, or Nature和弦图. It provides ready-to-run Python scripts bundled inside the skill.AI & Agentsscripts6verity数学建模竞赛最终验证和验收阶段,支持 Typst 和 LaTeX 双引擎。用于论文写完后检查章节数量、标题顺序、图表引用、数值一致性、占位符、内部文件泄露、参考文献、代码可复现性、编译和提交就绪状态。Otherscripts5writing数学建模竞赛论文撰写阶段,支持 Typst 和 LaTeX 双引擎。根据 ANALYSIS_MODELING_REPORT.md、RESULTS_REPORT.md 和 figures/*.pdf 选择比赛模板、排版引擎、组织章节,并在论文正文中按章节直接插入图表。Othertypst-authorGenerate idiomatic Typst (.typ) code, edit and troubleshoot Typst documents and projects, and answer Typst syntax/reference questions. Use when working with .typ files or when the user explicitly asks for Typst document creation, editing, debugging, compilation, formatting, template work, or package usage.Design & Presentation_references共享规范知识库。包含数学建模竞赛的写作规范、题型防错速查、图表规范等参考内容。其他 skills 在执行过程中按需读取,无需单独触发。Other4drawio数学建模非数据型图示绘制阶段。根据 ANALYSIS_MODELING_REPORT.md、RESULTS_REPORT.md 和已有 figures/ 生成技术路线图、子问题求解流程图、模型结构图、数据处理流程图等 DrawIO 图,并导出论文可引用 PDF。Other
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