Launching today

Marmot
AI-native data catalog with search, lineage and MCP
24 followers
AI-native data catalog with search, lineage and MCP
24 followers
Marmot is an open-source data catalog designed for teams who want powerful data discovery without enterprise complexity. Catalog every data asset, enrich it with the context that matters and make it accessible to your team and your AI tools.







Hey everyone, I'm Charlie - I built Marmot because data catalogs solve a simple problem: what data do we have and where does it live? But most catalogs will then ask you to run Elasticsearch, Kafka and a graph database just to find out. Data catalogs shouldn't need an entire platform team to run them.
Now your AI agents need to answer these same questions - without valid context, they hallucinate. Marmot gives them a single source of truth to query.
Marmot is a single binary and a Postgres database, deployable in minutes. It currently has:
25+ plugins (and growing) including - dbt, Kafka, S3, Trino, Iceberg, PostgreSQL.
Full data lineage across your business
Built-in MCP server to give LLMs context around your data
100% free and open-source.
Try it: demo.marmotdata.io
Star us: github.com/marmotdata/marmot
Try it out and let me know what you think!
I’m curious how easy it is for me to deploy and start using quickly without needing a dedicated data governance team. A quick-start guide or demo would really help me evaluate this faster.
I’ve been thinking a lot about how teams can bridge the gap between data and AI and this feels like a step in that direction. For me, the biggest challenge is not just finding data but trusting it.