Ross ROSS = Recommend OSS · open-source software intelligence for agents

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

github.com/jihe520/MathModelAgent · homepage · Python 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

Full methodology

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

Member repositories

RepositoryRoleHealth v2
jihe520/MathModelAgentmain87

For agents

markdown · JSON · MCP: product_card(name="jihe520/MathModelAgent")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem