RAG & Knowledge
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View guide →// agents · Kaelio/ktx
ktx
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.
Context layer so AI agents query your analytics databases accurately.
💎 Hidden gem★ 1.6k stars⑂ 105 forksApache-2.0updated 2026-09
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
so here's a placeholder. The guide below is complete regardless.
// project facts
Project facts
- 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 — a shorter page for a lesser-known project
- Official site
- Official docs
// how it works
How it works
- Clone the repository
Download the source and enter the folder.
- Install the toolkit
Pull the Node packages it needs.
- Describe your warehouse
Add your schemas and metrics per the docs.
- 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
- Step 1 — Clone the repo
Download the source and move into the project folder.
git clone https://github.com/Kaelio/ktx.git cd ktx - Step 2 — Install dependencies
Pull the Node packages it needs.
npm install - Step 3 — 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
- Stop agents from guessing your schema.
- Give Claude Code safe warehouse access.
- Standardize metric definitions for AI.
- Build agentic BI dashboards.
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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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// more in agents
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Get ktx
Free and open — grab the source, star the repo, and start creating.