This article explains how to set up OpenCode with Docker Model Runner for a private AI coding assistant. It covers configuration, model selection, and the benefits of maintaining control over data and costs. The guide also highlights coding-specific models that enhance development workflows.

Cap is an open-source CAPTCHA alternative that leverages SHA-256 proof-of-work to provide a fast, privacy-focused solution without annoying visual puzzles. Built with JavaScript and Rust, it is lightweight, highly customizable, and can be integrated easily into any project via a client-side library or a standalone Docker server. Cap ensures user privacy by not sending telemetry data and offers a machine-to-machine library for secure API protection.

Octo is a zero-telemetry coding assistant that supports various OpenAI-compatible and Anthropic-compatible LLM APIs, allowing users to switch models mid-conversation. It features built-in Docker support, customizable configuration, and can work seamlessly with local LLMs. Octo prioritizes user privacy and provides functionalities to manage coding tasks effectively while maintaining a user-friendly interface.