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[ARTICLE · art-43231] src=marmotdata.io ↗ pub= topic=ai-agents verified=true sentiment=· neutral

Show HN: Marmot, context layer for agents and humans

Bruno and a co-founder launched Marmot, an open-source context catalog that maps services, APIs, databases, and pipelines for both human developers and AI agents. The tool, released under an MIT license, ingests infrastructure data from Terraform, Kubernetes, and Pulumi, then exposes it via an MCP server for agents and a UI/API for people. Marmot addresses the challenge that AI agents cannot infer organizational context that humans typically learn informally.

read1 min views1 publishedJun 29, 2026

Hi HN, Bruno here, one of the two people building this.

For years we got away with poor context because people fill gaps. If you didn't know what a column meant or where a database lived, you asked someone. You knew who to go to. That informal layer, who to ask and what things mean, carried us for years. Agents can't do that. An agent only knows what you hand it. It doesn't ask, it guesses. So what people carried in their heads now has to live somewhere a machine can reach: what your data is, what it means, who owns it, what it connects to. Concretely, Marmot is a catalog. It catalogs your services, APIs, queues, topics, databases, pipelines, and more, then exposes that over a built-in MCP server for agents and a UI/API for people. You populate it from Terraform, Kubernetes, Pulumi, the API or the CLI.

MIT licensed. Self-host for free.

Comments URL: [https://news.ycombinator.com/item?id=48716939](https://news.ycombinator.com/item?id=48716939)

Points: 9

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