MADS

by AiFlowSolutions · Agent Tool · ★ 42

About MADS

A framework that uses multi-agents to enable users to perform a systematic data science pipeline with just two inputs.

agent-frameworkagenticaiautogen-frameworkdata-sciencellm-agentllm-frameworkmulti-agents

Quick Facts

Stars42
Forks9
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score36.25/100
Open Issues3
Last Updated2024-08-08
Created2024-06-05
Platformspython
Est. Tokens~3584k

Compatible Skills

These tools work well together with MADS for enhanced workflows:

  • miniAutoGen — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • rojak — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • Autono — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • ClaudeR — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • playbooks — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)

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Frequently Asked Questions

What is MADS?

MADS is A framework that uses multi-agents to enable users to perform a systematic data science pipeline with just two inputs.. It is categorized as a Agent Tool with 42 GitHub stars.

What programming language is MADS written in?

MADS is primarily written in Python. It covers topics such as agent-framework, agentic, ai.

How do I install or use MADS?

You can find installation instructions and usage details in the MADS GitHub repository at github.com/AiFlowSolutions/MADS. The project has 42 stars and 9 forks, indicating an active community.

What license does MADS use?

MADS is released under the MIT license, making it free to use and modify according to the license terms.

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