// agents Β· Kaelio/ktx

ktx

Context layer so AI agents query your analytics databases accurately.

πŸ’Ž Hidden gemβ˜… 1.6k starsβ‘‚ 105 forksApache-2.0updated 2026-09
β–¦ visual β€” this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

ktx is an open-source ai agents project by Kaelio (Kaelio/ktx on GitHub). It has 1,607 GitHub stars and 105 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 11 September 2026.

Repository
Kaelio/ktx
GitHub stars
1,607
Forks
105
License
Apache-2.0
Last updated on GitHub
11 September 2026
Category
AI Agents
Listing
Hidden gem β€” a shorter page for a lesser-known project
Official site
Official docs
// how it works

How it works

  1. Clone the repository

    Download the source and enter the folder.

  2. Install the toolkit

    Pull the Node packages it needs.

  3. Describe your warehouse

    Add your schemas and metrics per the docs.

  4. Let agents query

    Agents now write accurate analytics SQL.

// features

Why people love it

Executable context

Schemas and metrics agents can actually use.

Accurate SQL

Fewer wrong queries against your warehouse.

Analytics focus

Built for BI and data engineering.

Agent skills included

Drop-in skills for coding agents.

Claude and Codex ready

Works with popular agent harnesses.

1,607 stars

Strong data-community adoption.

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// run it

Run it yourself

  1. Step 1 β€” Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/Kaelio/ktx.git
    cd ktx
  2. Step 2 β€” Install dependencies

    Pull the Node packages it needs.

    npm install
  3. Step 3 β€” Configure context

    Describe your warehouse per the docs, then connect agents.

    # see https://docs.kaelio.com/ktx for setup
// use cases

What you can build

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// faq

Questions, answered

Who maintains ktx?

It is an open-source project at Kaelio/ktx with 105 forks.

Is it free for commercial use?

Yes. It is Apache-2.0 licensed.

What is an executable context layer?

Machine-readable schema, metric, and logic context that agents query against.

Which agents are supported?

Claude Code, Codex, and other AI agents via skills.

Does it replace dbt?

No. It complements analytics engineering by making context agent-usable.

// keep exploring

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// alternatives

Alternatives in AI Agents

The most-starred other AI Agents projects in the LibreAI catalogue β€” the realistic shortlist if ktx is not the right fit.

Get ktx

Free and open β€” grab the source, star the repo, and start creating.