ModelBound

ModelBound gives development teams a single home for the way AI behaves across their codebases. By packaging prompts, rules, and instructions into portable Skills and Agents, it turns scattered AI context into something you can version, share, and reuse, just like any other part of your codebase.

Everything is built on the open Agent Skills standard (SKILL.md), so what you create here works seamlessly with the AI-powered tools your team already relies on, including Claude Code, Cursor, Kiro, Windsurf, and GitHub Copilot. No more copy-pasting instructions between tools or fighting over whose setup is right.

Acting as a central repository and management system for AI context, ModelBound helps engineering teams standardize how AI tools interact with their code, keeping behavior consistent across people and projects. And when context files grow unwieldy, built-in auto-optimization trims them down to reduce token costs without losing what matters.