Marmot, context layer for agents and humans

Hacker News

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.

Visit product View on Hacker NewsJun 29, 2026

Share card

Actual performance

17points

4comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: mac, agents, agent · Missing: macos, cursor, claude

98%98% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: pipe · Missing: https docs, excited, just released

71%71% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

37%37% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Twigg76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The context layer you never have to build

Product Hunt+123API

Ktx – Open-source executable context layer for data agents54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ktx – Open-source executable context layer for data agents

Hacker News93

Specify App92%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The shared context layer for you and your coding agents

Product Hunt+2

BetterDB, MIT Valkey-native context layer for AI agents38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

BetterDB, MIT Valkey-native context layer for AI agents

Hacker News5

Team Mantle20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The context layer for every AI agent

Indie Hackerscommitment-full-time

Airbyte Agents93%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The context layer for production-grade AI agent

Product Hunt+82Productivity

Dawiso AI Context Layer87%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Connect AI agents to governed metadata via MCP

Product Hunt+82Analytics

BaseThread26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Unified context layer for teams using AI tools.

Indie Hackers

Unabyss84%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MCP-native self-updating context layer for your AI

Product Hunt+713Productivity

A human-curated, CLI-driven Context Layer for AI agents29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A human-curated, CLI-driven Context Layer for AI agents

Hacker News2

Browse all products Analyze your launch