MADS
A multi-agent framework that enable users to perform a data science pipeline with just two inputs
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for MADS, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.
Overview
MADS is a project developed by AI Flow Solutions that enables users to systematically perform a data science pipeline with just two inputs: a problem description and a CSV file containing data. The MADS framework orchestrates a multi-agent system that generates predictions, produces a detailed report on the data, and trains a machine learning model. The next phase of this project will introduce complexity by incorporating reinforcement learning to enhance the performance of each agent. Currently, this project is being developed on top of the Autogen framework.
Key features and capabilities
- Generate analysis report, Generate machine learning model trained, Generate predictions, Perform automatically a data science pipeline
Use cases
- Helping Data Scientists Automate Their Work, Providing an Easy Way for Non-Technical Users to Generate Predictions, Rapid Prototyping of Machine Learning Models, Compliance and Reporting Automation, Accelerating Business Decision-Making