jihe520/MathModelAgent
🤖📐专为数学建模设计的 Agent & skills ,自动完成数学建模,生成一份完整的可以直接提交的论文。 An Agent Designed for Mathematical Modeling ,Automatically complete mathmodel and generate a complete paper ready for submission. observed · 2026-08-28
Health v2 · maintenance only
87/100
- Activity 99
- Release rhythm 99
- Longevity 41
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 1.0
- age_days: 580
- days_rel: 7
- days_push: 7
- n_releases_24m: 13
Adoption not part of the score
3791 stars · 354 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
MathModelAgent is a multi-agent LLM application that automates mathematical modeling competitions end-to-end: it analyzes a problem, builds models, writes and executes code via a Jupyter-based code interpreter, and generates a submission-ready paper using Typst templates. It is distributed as a desktop app, a hosted web service, and a set of Claude Code SKILLS, with multi-LLM support via LiteLLM and a RAG knowledge base built on ChromaDB.
Use cases
- automatically solve a math modeling competition problem and write the paper
- generate a submission-ready MCM/ICM or CUMCM paper from a problem statement
- run modeling, coding, and paper writing with multiple LLM agents
- execute optimization or statistical model code and produce charts automatically
- use Typst templates to format a competition paper
- retrieve modeling methods and code templates from a knowledge base
- practice math modeling contests with an AI assistant
When to choose
- you need an end-to-end automated pipeline from problem statement to formatted paper
- you want a desktop app or hosted service that works without setting up Python/Node/Redis
- you compete in contests like CUMCM, MCM/ICM, or Huashu Cup and want template-matched output
- you want per-agent model selection and low-cost workflow-agentless orchestration
When to avoid
- you need a general-purpose agent framework or library to build your own agents
- your task is not mathematical modeling or competition-style paper writing
- you require an OSI-approved license for commercial redistribution (none is provided)
- you need fully offline operation without any LLM API key
Facets
application · maturity active
agent-framework llm-inference rag prompt-engineering data-science machine-learning chat-interface code-review artificial-intelligence large-language-models data-science mathematics education developer-tools python cross-platform windows mathematical-modeling multi-agent paper-generation typst-templates code-interpreter competition skills claude-code litellm chromadb ai-agents automation macos desktop web-server docker
4 sources
- readme: https://github.com/jihe520/MathModelAgent · fetched 2026-08-28 · 5cbe72dc08fe
- homepage: https://mathmodel.top/home · fetched 2026-08-29 · 66abf6add4e1
- site_page: https://mathmodel.top/about · fetched 2026-08-29 · b480d9cba21e
- site_page: https://mathmodel.top/changelog · fetched 2026-08-29 · b9b376b819a4
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| jihe520/MathModelAgent | main | 87 |
For agents
markdown · JSON · MCP: product_card(name="jihe520/MathModelAgent")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem