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Kilo Code

The all-in-one agentic engineering platform. Build, ship, and iterate faster with the most popular open-source AI coding agent.

★ 27,129 GitHub MIT ai-codingcoding-agentvscodejetbrainscliagentictypescriptai AI Agents

Overview

Kilo Code is the most popular open-source agentic coding platform, bringing natural-language software engineering to VS Code, JetBrains IDEs, and the terminal. It works with leading models like Claude, Gemini, ChatGPT, and others so you can plan, code, and ship features end to end. Use Plan Mode to research and architect, run agentic multi-file edits across your workspace, auto-fix errors, and manage Git commits — all from a chat-driven interface. Kilo supports MCP servers, custom context and rules, image analysis, and terminal commands for deep workflow integration. With 27,000+ GitHub stars and an MIT license, it is a self-hostable alternative to proprietary AI IDEs, and its official Docker images make server-side deployment straightforward.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Affiliate disclosure

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  kilo-code:
    image: ghcr.io/kilo-org/kilo:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/kilo-code:/data

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Guides & articles

How to Install Kilo Code and Ship Your First AI-Assisted Feature

Step-by-step tutorial: install the Kilo Code extension, connect your favorite model provider, and use Plan Mode plus agentic mode to plan, implement, and commit a real feature.

Sep 2, 2026

Kilo Code Guide: The All-in-One Open-Source Agentic Engineering Platform

Kilo Code brings natural-language AI engineering to VS Code, JetBrains, and the CLI. Here is what makes this 27K-star, MIT-licensed agentic platform different and who should use it.

Sep 2, 2026