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marmotdata/marmot

Marmot is a MIT-licensed open-source data catalog that indexes tables, topics, queues, and APIs, then exposes that metadata as an AI-ready context layer so agents can search real internal assets instead of guessing what exists.

Open source →Back to radar
Score8.2
Popularity29.0
Riskconditional
TierGold
Score breakdown
Usefulness8.0
Novelty7.0
Momentum7.0
Maturity7.0
Open-source/build8.4
Evidence7.2
Workflow potential9.3
Setup ease6.4

Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.

Why it matters

Useful for data and platform teams that want AI systems to work from actual metadata and ownership context rather than fragile prompt descriptions of the stack.

Who should use it

data platform teamsanalytics engineersAI builders wiring agents to internal systemsorganizations cleaning up data discovery

Who should skip it

Skip if the source link, docs, or setup requirements do not match your workflow.

Risk explanation

It centralizes internal asset metadata for AI access, so teams should treat connected schemas, endpoints, and ownership details as sensitive operational context.

Evidence links

Closest alternatives / related signals

data-catalogmetadataagentsai-infrastructureenterprise-ai