marvis-risk-agent

Local-first credit-risk agent that turns data files into governed analysis, models, strategy code and audit-ready reports.

Agent by eddyzzl

IndexedMIT★ 390

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About

MARVIS-Agent is a local-first credit-risk platform where you describe a risk decision in natural language. It asks for missing files and definitions, builds a workflow plan, pauses at confirmation points, and runs deterministic tools for data processing, feature engineering, model training with PMML export, validation and strategy work. KS, AUC, PSI and bad rate are calculated by platform code rather than by an LLM, and results carry lineage and audit evidence. The project is MIT licensed.

Use cases: data-analysis, data-pipelines

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Fact sheet

Jobs: data analysisREADME
Autonomy: Supervised: runs multi-step tasks, asks at checkpointsREADME
Where you use it: Desktop appREADME
Hosting: You run itREADME
Open source: YesREADME

Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.

Signals

Stars: 390
Forks: 6
Open issues: 0
Last commit: Oct 12, 2026 (18 days ago)
Last release: Oct 12, 2026 (18 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License: MIT
Repository: github.com/eddyzzl/marvis-risk-agent
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: README github-graphql

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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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Cite this page

marvis-risk-agent. Agent Mart. https://agentmart.dev/agents/marvis-risk-agent (last updated 2026-10-24)