HagiCode

English · 简体中文 · 繁體中文 · 日本語 · 한국어 · Deutsch · Français · Español · Português (Brasil) · Русский

HagiCode keeps AI from losing context while it changes your code: understand the repository first, set the scope, then execute with a trail you can review.

An AI workbench for project development. It plugs into the Agent CLIs and models you already use, so you don't have to change editors.

Website · Install · Product Overview · Microsoft Store · Blog

• Mainstream Agent CLIs in one workbench, such as Claude Code, Codex, GitHub Copilot, OpenCode, and more. See the supported list.
• Windows, macOS, and Linux, as a desktop app or a self-hosted container.
• Free core features. Desktop, Container, and Microsoft Store are three ways to get HagiCode, not three paid tiers.
• Read-only by default. A normal session only reads your code; switch to edit mode when you want changes.

Before you install Desktop: Microsoft Store and Desktop need Node.js 24 or later and Git on your machine. Docker Compose needs neither on the host. Details are in the installation guide.

1. Understand first. Analyze existing code in a read-only normal session.
2. Set the scope. For complex changes, pick the project and repositories in a proposal session, then agree on goals, tasks, and validation before anything is edited.
3. Track the result. Review sessions and execution state in the workbench, and let AI Compose Commit organize the commits.
4. Keep the context. Proposals and commit records stay available for later, and MonoSpecs coordinates changes across repositories.

You don't need a proposal every time. For a quick question about the code, start with a normal session.

• Proposal-driven AI coding: OpenSpec keeps scope, tasks, impact analysis, validation, and execution connected instead of turning complex work into blind edits.
• Bring your own Agent CLI and model: OmniRoute keeps the CLI choice separate from the model and subscription layer, so you can route models and endpoints without being tied to one default stack.
• A full development workspace: MonoSpecs for multi-repository scope, Skills for installable extensions, Vault for reusable knowledge, AI Compose Commit and code-server for finishing the job in the same place.
• Gamified feedback with real signals: achievements, daily reports, efficiency multipliers, and token throughput make long-running AI work easier to read. It is part of the workbench, and you can ignore it.

• A good fit: developers and teams who maintain several repositories and want complex changes planned before they run, or who already use Claude Code, Codex, or another Agent CLI and want them in one workbench.
• Not required: if you only want a few lines of completion in your editor, your current tools are enough.

Plus and DLC details live on the docs site. The Steam main application has been retired; see the Steam status FAQ.

• Hagicode Plus — bundle and upgrade guidance
• Turbo Engine DLC — higher proposal concurrency, plus document themes, custom signature, branding, and avatars (Microsoft Store, one-time purchase)

• site - Official marketing site and public GitHub landing repository
• desktop - Desktop client for local-first HagiCode workflows
• container - Self-hosted deployment path for teams and server environments
• docs - Documentation site with the canonical product overview and guides

• Documentation
• Blog
• GitHub Organization
• Issues
• AI Replacement Calculator

Ready to explore the full product story? Start at hagicode.com and choose the path that fits your workflow.