[anentropic]

This sounds like it might be exactly what I need!

Does `ktx setup` need Claude specifically?

> LLM - picks a Claude backend. The default uses your local Claude Code session, so no API key is required. You can also use an Anthropic API key or Vertex AI.

I'm currently on Copilot at work

[anentropic]

Next questions...

I'm skim reading the docs but I just want to know a bit more about the architecture

Does it produce artefacts that I can commit to version control and share with my team? Is it a tool that everyone runs locally in the project? Or there's a component (the wiki?) that I should deploy as an internal service?

[andreybavt]

When you install ktx, you'll have to initialize the project directory and ktx initializes a git repo there to assure the version controls.

ktx project directory is self-contained. The main 2 parts inside are :

- wiki: a collection of .md files

- semantic-layer: a collection of .yaml files

typically all these files are created/edited automatically during the ingestion, but you can also edit them by hand or even sync with a remote git.

ktx treats these files as sources and builds internal indexes in a sqlite db, located in projectDir/.ktx

The main way to use ktx is to start an mcp server by calling `ktx mcp start` it'll start an http server and multiple people will be able to connect it to their agents.

Hope this helps, happy to answer any other questions!

[anentropic]

Sounds like it produces yaml and markdown files that I could commit as project documentation/config?

[andreybavt]

yes, exactly

[lucamrtl]

We currently support anthropic models for the setup (whether through claude pro/max plan) or through API. Adding support for openai API / codex should be pretty straightforward - would love to get you in the community slack to get more details on your copilot setup

[lucamrtl]

Quick update - we just released support for codex as LLM backend :)

[lucamrtl]

Here's the community https://ktx.sh/slack