eddyzzl/marvis-risk-agent

MARVIS-Agent is an open-source project that wraps an LLM agent loop around the full credit risk modeling lifecycle: data processing, feature engineering, model development, validation, and strategy workflows. The positioning is specific enough to be interesting — most AI agent frameworks are horizontal, and this one goes vertical into a domain that genuinely has repetitive, structured workflows that agents can plausibly automate. The question to ask before committing time to it is whether the agent layer adds real value over a well-organized Python pipeline, or whether it is mostly orchestration glue with a chat interface on top. The repo is early-stage and the documentation reflects that. Useful as a reference architecture for anyone building AI tooling in lending or credit scoring, less useful as a drop-in production component today. Reservation: domain-specific agent projects like this tend to stall when the founding contributor moves on — check commit cadence before depending on it. -> Best for: AI engineer building fintech or credit-scoring SaaS infrastructure