# I built an AI task generator for Vikunja (open source, self-hosted) — feedback welcome

**URL:** <https://community.vikunja.io/t/i-built-an-ai-task-generator-for-vikunja-open-source-self-hosted-feedback-welcome/4544>\
**Category:** Uncategorized\
**Created:** [30 May 2026 17:14 UTC](https://community.vikunja.io/t/i-built-an-ai-task-generator-for-vikunja-open-source-self-hosted-feedback-welcome/4544 "2026-05-30T17:14:17Z")\
**Posts on this page:** 1\
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**Author:** ![Yooshyasha](https://community.vikunja.io/letter_avatar_proxy/v4/letter/y/f4b2a3/32.png) [@Yooshyasha](https://community.vikunja.io/u/Yooshyasha)\
**Post date:** [30 May 2026 17:14 UTC](https://community.vikunja.io/t/i-built-an-ai-task-generator-for-vikunja-open-source-self-hosted-feedback-welcome/4544/1 "2026-05-30T17:14:17Z")

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Hi everyone,

I self-host Vikunja for my own projects, and I kept running into the same  
chore: turning a big, vague idea into a clean set of individual tasks by  
hand. So I built a small open-source tool that does the decomposition with  
an LLM — but keeps me fully in control.

**What it does**

You describe a project in plain language, and the AI breaks it down into  
structured tasks. It can ask clarifying questions first if your description  
is ambiguous. Then — and this was the whole point for me — nothing is written  
to Vikunja until you review and confirm. Every task name, description,  
comment and tag is editable, and you can drop any  
works for editing existing projects too, not just creating new ones.

So the AI never silently changes your projects — it proposes, you approve.

**How it connects to Vikunja**

It talks to your instance through the Vikunja API using your own token, so  
nothing is locked in. You bring your own LLM provider — Anthropic, OpenAI,  
Google, DeepSeek, or fully local via Ollama (in which case nothing leaves  
your machine).

It ships as Docker Compose behind nginx with TLS. Stack is Kotlin/Spring on  
the backend (a gateway + a separate AI service) with a React frontend.

It’s still early and rough in places, and I’d really value feedback from  
people who actually use Vikunja day to day:

- Does the clarifying-questions step sound useful, or would it just add  
friction for you?
- Would you rather see something like this as a standalone app (how it works  
now), or integrated more directly — e.g. as an MCP server?

Repo with setup instructions:

> **[GitHub - Yooshyasha/Trof: Manage your tasks with AI.](https://github.com/Yooshyasha/Trof)**
>
> Manage your tasks with AI.

Thanks for taking a look!