AI coding agents for any repository. One command. 12+ editors.
hatch3r is an open-source CLI tool that installs a production-ready agentic setup in any repository with a single command. Run `npx hatch3r init` and get 16 agents, 25 skills, 22 rules, 33 commands, and 10 MCP server configurations — natively generated for Cursor, GitHub Copilot, Claude Code, Windsurf, Gemini CLI, Cline, Amp, Codex, and more. A single source of truth. 12+ editor outputs. No lock-in. Compatible with GitHub, Azure DevOps, and GitLab (auto-detected from your git remote).
For independent developers launching new projects, hatch3r enables rapid, standardized AI agent setup across multiple coding tools. Example: A solopreneur can run `npx hatch3r init` once to configure agents for Cursor, GitHub Copilot, and Claude Code, streamlining their workflow from day one.
For computer science students learning AI-assisted coding, hatch3r provides a pre-configured environment for experimenting with various AI agents and skills. Example: A student can use `hatch3r init` to set up agents for code review and test writing, then practice implementing features with AI assistance in their coursework.
For software team leads, hatch3r enables consistent AI agent configurations across a team's repositories, ensuring standardized practices. Example: A team lead can initialize hatch3r in a shared repository, then use `hatch3r sync` to distribute identical agent setups (e.g., security audits, code standards) to all team members' local environments.
For freelance developers onboarding new clients, hatch3r allows for quick and consistent setup of AI coding agents tailored to client project requirements. Example: A freelancer can run `npx hatch3r init` on a new client's brownfield project, selecting specific agents for code quality and documentation, to quickly align with client standards.
You can install hatch3r by navigating to your project directory in the terminal and running `npx hatch3r init`. This command will detect your repository, prompt you to select AI coding tools and optional MCP servers, and then generate the necessary configuration files.
Yes, hatch3r is an open-source tool, which means it is free to use. Its source code is available under the MIT License.
The best alternative to hatch3r depends on your specific needs. Some users might consider tools like Continue.dev or various IDE-specific AI integrations, though hatch3r's strength lies in its unified, multi-editor approach and single-command setup.
hatch3r is an open-source project and does not have a cost associated with its use. You can install and utilize its features without any financial commitment.
As an open-source tool, hatch3r itself does not collect or store user data, focusing on generating configuration files for AI coding agents. Security and GDPR compliance would depend on the specific AI models and MCP servers you integrate with hatch3r, and their respective policies.
hatch3r is primarily a command-line interface (CLI) tool designed for local development environments. It does not offer a dedicated mobile or web application for direct use.
hatch3r supports GitHub, Azure DevOps, and GitLab, automatically detecting your platform from your git remote. It also integrates with a wide range of AI coding tools and editors.
We're still verifying the official pricing for hatch3r. In the meantime, the most up-to-date plans and prices are available directly on the publisher's website.
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