site
Official marketing site for HagiCode product capabilities, AI coding workflows, and getting-started paths.
Install / Use
npx skills add HagiCode-org/siteInstalls into whichever agent you are using.
Other
Other agent config
Quality Score
Category
AutomationSupported Platforms
Skill content
View source on GitHubHagiCode
<p><strong>HagiCode is a product that combines an AI coding tool, a gamified feedback system, and a full development workspace into one platform.</strong></p> <p>Use it to understand repositories, write proposals, break down tasks, modify code, organize commits, manage multiple repositories, and build a reusable knowledge base without leaving the same workspace.</p><a href="https://www.hagicode.com/">Website</a> · <a href="https://docs.hagicode.com/product-overview/">Product Overview</a> · <a href="https://www.hagicode.com/desktop/">Desktop</a> · <a href="https://www.hagicode.com/container/">Container</a> · <a href="https://apps.microsoft.com/detail/9N3PM0N3SVDW">Microsoft Store</a> · <a href="https://docs.hagicode.com/blog/">Blog</a>
</div>English · 简体中文 · 繁體中文 · 日本語 · 한국어 · Deutsch · Français · Español · Português (Brasil) · Русский
Microsoft Store And Add-ons
| Preview | Product | What it is | Start here | | --- | --- | --- | --- | | <img src="./src/assets/img/readme-sync/workspace-overview.png" alt="HagiCode desktop workspace preview" width="280" /> | HagiCode for Windows | Current public entry point for the desktop app. The Steam main application entry has been retired. | Open Microsoft Store · Desktop downloads · Steam status FAQ | | <img src="./src/assets/img/readme-sync/steam/hagicode-plus-wide-capsule.png" alt="Hagicode Plus bundle artwork" width="280" /> | Hagicode Plus | Bundle and upgrade guidance remains available through the docs site. | Read Hagicode Plus docs | | <img src="./src/assets/img/readme-sync/steam/turbo-engine-wide-capsule.png" alt="Turbo Engine DLC artwork" width="280" /> | Turbo Engine DLC | DLC guidance for higher concurrency and customization remains available through the docs site. | Read Turbo Engine DLC docs |
What HagiCode Is
HagiCode was not built to be another code chat box. It brings AI into the full software development process: understanding repositories, planning changes, implementing code, organizing commits, tracking knowledge, and keeping work reviewable from idea to archive.

Core Capabilities
1. Proposal-driven AI coding with OpenSpec
For non-trivial work, HagiCode starts with a proposal instead of jumping straight into file edits. OpenSpec turns requests into scope, tasks, impact analysis, validation steps, and an execution trail that stays easy to review.

2. Mainstream Agent CLIs with OmniRoute
HagiCode supports Codex, Claude Code, GitHub Copilot, OpenCode, Hermes, QoderCLI, Kiro, Kimi, Gemini, Pi, Reasonix, DeepAgents, and Codebuddy. OmniRoute keeps the CLI choice separate from the model and subscription layer, so teams can route models and endpoints without hard-binding everything to one default stack.

3. A full development workspace, not just a chat pane
The workspace ties together the capabilities that usually end up scattered across separate tools:
MonoSpecsfor multi-repository inventory, scope, and coordinationSkillsfor installable workflow extensions and trust-aware toolingVaultfor reusable knowledge capture across projectsAI Compose Commitandcode-serverintegration for finishing the job inside the same flow
4. Gamified feedback that stays operationally useful
HagiCode treats achievements, daily reports, efficiency multipliers, token throughput, and themed interface feedback as part of the product, not cosmetic leftovers. The result is a workspace that keeps long-running AI work visible instead of flattening everything into one scrolling transcript.

Official Entry Points
- Website for the full product homepage
- Product Overview for the canonical public introduction
- Desktop for local-first installation and service management
- Container for the self-hosted deployment path
- Microsoft Store for the current Windows desktop entry point
- Steam status FAQ for why the Steam main application is no longer the primary channel
- Blog for product updates and long-form posts
Develop This Repository
This repository contains the public HagiCode website. From repos/site, run:
npm install
npm run dev
npm run build
npm run preview
The default dev server runs at http://localhost:31264.
For contributor guidance, start with AGENTS.md and CLAUDE.md.
Production Deployment
- Authoritative workflow:
.github/workflows/site-deploy-gh-pages.yml - Production source of truth: the
gh-pagesbranch, published only by GitHub Actions - Published payload contract: branch root
esa.jsonc,wrangler.jsonc, anddist/containing the validated Astro snapshot - Manual dispatch path:
workflow_dispatchrebuilds from the selected ref and republishes the validated payload togh-pages - Direct Cloudflare publication is now handled outside this workflow; keep
gh-pages/wrangler.jsoncas the checked-in Wrangler contract for direct publish operations - Required GitHub permissions: the deploy job needs
contents: write; the build job stays read-only - Required hosting setting: configure the production host to read
gh-pages/esa.jsonc, treatgh-pages/wrangler.jsoncas the Wrangler source of truth for direct publication, and servegh-pages/dist/ - First deploy checks: confirm the workflow publishes
esa.jsonc,wrangler.jsonc, anddist/, verify the hosting target still points atgh-pages, and loadhttps://www.hagicode.com - Rollback path: revert the source change or rerun deployment from an older commit so CI republishes the previous snapshot
Desktop Index Fallback
The desktop history index at https://index.hagicode.com/desktop/history/ is a referenced dependency only. The site links to it as a runtime fallback target for desktop guidance, but this repository does not publish or manage that index directly.
License
This repository is released under LICENSE.
Related Skills
Agent-Reach
84.2kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
ruflo
73.0k🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
nanobot
48.5kUltra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
Scrapling
82.8k🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ
