Is "Kilo Code" free to use?

Most OpenRuna resources are open or CC0-licensed. Check the license shown on this page before commercial use; premium collections are clearly marked as such.

How do I get the best results from this AI agent?

Replace any placeholders, add your project context, and ask the model to confirm its assumptions first. Iterate over 2–3 follow-up turns rather than expecting a perfect first response.

Does "Kilo Code" work with both Claude and ChatGPT?

Yes — it is model-agnostic text, so it runs on Claude, ChatGPT, Gemini, and Cursor. The tips on this page cover each of those assistants specifically.

Where can I find resources related to "Kilo Code"?

Scroll to the Related resources section on this page, or open the matching category hub on OpenRuna to find connected prompts, tools, agents, and datasets in the same topic area.

Kilo Code

AGENT

Open-source agentic coding assistant with IDE workflows, tool use, and support for local or OpenAI-compatible models

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Overview

Free AI agent — Kilo Code. Open-source agentic coding assistant with IDE workflows, tool use, and support for local or OpenAI-compatible models

What this agent does

"Kilo Code" is a AI agent you can copy, adapt, and run with any modern AI assistant. Open-source agentic coding assistant with IDE workflows, tool use, and support for local or OpenAI-compatible models It is catalogued next to similar resources on OpenRuna, so the rest of the toolkit you need is close by. Copy it into your assistant of choice and sharpen the result with a couple of follow-up turns.

Use cases

Keep it in a shared library as the canonical version of this AI agent for your organisation.
Fork it as a baseline and layer in your own project context, constraints, and examples.
Hand "Kilo Code" to a new teammate so their AI agent output matches your team's quality bar from day one.
Use "Kilo Code" when you need a repeatable AI agent for professional work without rewriting instructions every time.

Example output

Ask the model to apply "Kilo Code" to your scenario and it returns a structured answer — clear sections, actionable steps, and assumptions stated upfront — ready to paste into docs, tickets, or code comments. Add one example of your own and the output quality jumps noticeably.

Tips by platform

Claude

Claude works best when you paste this AI agent up front and ask it to outline its plan before writing. Use the artifact panel to refine structured output turn by turn.

ChatGPT

In ChatGPT, start a fresh chat and paste this AI agent verbatim, then follow up with "apply this to [your context]." Pick a current GPT model for coding or reasoning tasks.

Cursor

Add this AI agent to your Cursor rules and invoke it from Agent mode for repeatable results. Link back to its OpenRuna page in the rule so the source stays discoverable.

Frequently asked questions

What is "Kilo Code"?: It is a AI agent listed on OpenRuna — Open-source agentic coding assistant with IDE workflows, tool use, and support for local or OpenAI-compatible models You can copy and adapt it for ChatGPT, Claude, Cursor, or any other AI assistant.
Is "Kilo Code" free to use?: Most OpenRuna resources are open or CC0-licensed. Check the license shown on this page before commercial use; premium collections are clearly marked as such.
How do I get the best results from this AI agent?: Replace any placeholders, add your project context, and ask the model to confirm its assumptions first. Iterate over 2–3 follow-up turns rather than expecting a perfect first response.
Does "Kilo Code" work with both Claude and ChatGPT?: Yes — it is model-agnostic text, so it runs on Claude, ChatGPT, Gemini, and Cursor. The tips on this page cover each of those assistants specifically.
Where can I find resources related to "Kilo Code"?: Scroll to the Related resources section on this page, or open the matching category hub on OpenRuna to find connected prompts, tools, agents, and datasets in the same topic area.