Building multiplayer AI, governed data with Preset MCP, and what's next for semantic layer support ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏  ͏ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­ ­  
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Welcome back to the latest Preset news, all powered by Apache Superset™. This fall's theme: AI agents that work with your real data and stay inside your rules. 

Multiplayer AI, built by the Preset team
Agor Cloud is in Open Beta

Preset Founder & CEO Max Beauchemin started Agor as a way to manage a growing roster of AI agents. Preset adopted it across engineering, data and business operations, and it's become a new way for our entire team to build collaboratively with AI.

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Read the launch announcement
  • Work in live spatial boards or on Slack

  • Create AI teammates with persistent memory and MCP connections

  • Run several agent harnesses side by side 

Preset MCP: Build your data layer with AI

Prompt your LLM, get answers straight from Preset 

Preset MCP has 25+ tools to keep your data governed while working with any AI agent:

  • Save a query as a governed dataset

  • Query through the metrics you already agreed on

  • Show the query, filters and sources behind every answer

A demo screenshot of Preset MCP working in a claude chat window. Prompt: "I have a world health data set in Preset. Can you build me a chart of the most populous areas?" with a chart showing global population trends.

New to Preset? Check out our tutorials page for walkthroughs showing how you can start exploring your data.

Events

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Nov 12 ・ via Zoom

Join the Apache Superset PMCs to talk shop on open source analytics, AI, and the best ways to stay involved and contribute to our growing community.

Save your spot
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Dec 2-3 ・ Paris

Join Max in Paris this December for his talk: "The PDLC Is Changing: From Product Teams to Product + Agent Teams" at Cloud Native AI Summit.

Learn more

Want to host Preset on your pod or at your conference? Drop us a line!

From the blog

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Managed Private Cloud comes to Azure

If you're in a regulated industry where data has to stay inside your own Azure virtual network, you don't have to choose between self-managing Superset and switching clouds. 

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Scheduled reports send what you actually configured

Reports and Alerts keep the selected tab and the applied filters. If you've been maintaining a duplicate dashboard per audience, or exporting by hand every week, now you don't have to.

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7 Controls for Production-Ready AI Analytics

You can build charts and artifacts in an LLM, but do permissions travel with the user, are there execution limits, and does context survive outside the session?

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Semantic Layers in Apache Superset: SIP-182 and Apache Ossie

Ask 3 tools what revenue means and you can get three answers. Evan Rusackas on what SIP-182 changes, and why one definition served everywhere is the thing that makes AI answers trustworthy.

Watch the replay

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Semantic layer extensions w/Beto & Evan

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Max at Airflow Summit 2026

Thanks for reading. If there's something you want to see in Preset, reply and let us know. We read 'em!

 

- The Preset Team

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