#python #agent #llm #mathmodel #skills
This tool helps you do math modeling faster by finding, coding, fixing errors, and writing a full paper for you. You can use a desktop app, Docker, or local setup, and it works with many AI models. The benefit is clear: it saves time, gives ready-to-submit paper templates, and helps you produce cleaner, more complete work with less manual effort.
https://github.com/jihe520/MathModelAgent
This tool helps you do math modeling faster by finding, coding, fixing errors, and writing a full paper for you. You can use a desktop app, Docker, or local setup, and it works with many AI models. The benefit is clear: it saves time, gives ready-to-submit paper templates, and helps you produce cleaner, more complete work with less manual effort.
https://github.com/jihe520/MathModelAgent
GitHub
GitHub - 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…
🤖📐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. - ji...
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#python #agents #agentskills #claude_code #deep_research #deep_research_agent
Hyperresearch is a tool that turns Claude Code into a deep research agent. It can search many sources, check citations, keep a reusable research vault, resume crashed runs, and help you create stronger reports with less manual work.
https://github.com/jordan-gibbs/hyperresearch
Hyperresearch is a tool that turns Claude Code into a deep research agent. It can search many sources, check citations, keep a reusable research vault, resume crashed runs, and help you create stronger reports with less manual work.
https://github.com/jordan-gibbs/hyperresearch
GitHub
GitHub - jordan-gibbs/hyperresearch: Convert Claude Code or Codex into the most intelligent Deep Research Agent. Collect, search…
Convert Claude Code or Codex into the most intelligent Deep Research Agent. Collect, search, and synthesize web research into a persistent, searchable wiki that builds on itself. Hosted API + MCP: ...
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