Skip to content

iammm0/damn-agent

Repository files navigation

Damn Agent project logo

Damn Agent

Damn Agent(damnagent.org)是一个面向开发者的 AI Agent 技术学习文档站。它用中文系统梳理智能体核心概念、工程实践、框架工具和案例拆解,目标是帮助开发者把 Agent 从“概念演示”推进到“可运行、可调试、可评测、可维护”的工程系统。

Beta Next.js TypeScript Fumadocs Tailwind CSS License

Overview

Damn Agent is a developer-oriented documentation site for learning AI Agent engineering in Chinese. It is built as a real docs product rather than a marketing landing page: the homepage opens directly into the reading experience for concepts, framework entries, case studies, resources, and changelog.

The first content batch covers:

  • Agent Loop and the basic mental model of agent systems.
  • Tool calling, memory, state, and context engineering.
  • Evaluation, traceability, safety boundaries, and regression checks.
  • LangGraph and Mastra as representative framework entries.
  • A research-agent case study with workflow and data-structure examples.

Features

  • Docs-first homepage: no empty hero page; the first screen links directly to learning content.
  • Fumadocs + MDX content system: documentation lives under content/docs.
  • Code highlighting: MDX code blocks use the Fumadocs/Shiki pipeline.
  • Mermaid diagrams: homepage and docs support Agent flow diagrams.
  • shadcn/ui components: consistent cards, badges, sheets, tabs, separators, and tooltips.
  • Light/dark theme: powered by next-themes.
  • Responsive reading: mobile header, drawer navigation, readable docs layout, and horizontal-safe code blocks.
  • Static build friendly: docs pages are statically generated through Fumadocs page params.

Tech Stack

Layer Choice
Framework Next.js App Router
Language TypeScript
Content Fumadocs + MDX
Styling Tailwind CSS v4
UI shadcn/ui + lucide-react
Code Highlighting Shiki via Fumadocs MDX
Diagrams Mermaid
Theme next-themes
Package Manager pnpm

Getting Started

Prerequisites

  • Node.js 20.9 or newer is recommended for current Next.js versions.
  • pnpm 11 or newer.

Install

pnpm install

Start Development Server

pnpm dev

维护者页会从 GitHub collaborators 接口同步协作者信息,需先配置 GITHUB_TOKEN

export GITHUB_TOKEN="$(gh auth token)"
pnpm dev

Open:

http://localhost:3000

If port 3000 is already in use:

pnpm dev -- -p 3001

Scripts

pnpm dev              # Start the local dev server
pnpm lint             # Run ESLint
pnpm exec tsc --noEmit # Run TypeScript type checking
pnpm build            # Create a production build
pnpm start            # Start the production server after build

Project Structure

.
├── content/
│   └── docs/                 # Chinese MDX documentation
│       ├── index.mdx
│       ├── concepts/
│       ├── practices/
│       ├── frameworks/
│       ├── cases/
│       └── resources/
├── app/                      # Next.js App Router shell
│   ├── docs/[[...slug]]/     # Fumadocs dynamic docs route
│   ├── layout.tsx
│   └── page.tsx
├── components/               # Shared docs components and shadcn/ui components
├── lib/
│   ├── site.ts               # Docs navigation metadata
│   ├── source.ts             # Fumadocs loader
│   └── utils.ts
├── source.config.ts          # Fumadocs MDX collection config
├── next.config.mjs           # Next.js + Fumadocs MDX config
├── components.json           # shadcn/ui config
└── package.json

Generated directories such as .next/, .source/, node_modules/, and TypeScript build info files are intentionally ignored.

Routes

Route Purpose
/ Docs reading homepage
/docs Fumadocs documentation index
/docs/concepts Core concept index
/docs/practices Engineering practice index
/docs/frameworks Framework and tooling index
/docs/cases Case-study index
/docs/resources Resource list
/docs/changelog Project and content updates

Related Projects

These repositories are personal projects by the same author. They are intentionally presented as related/extended projects rather than required Damn Agent reading.

Project Description Link
secbot Authorized security testing workspace and TypeScript terminal product for security automation scenarios. github.com/iammm0/secbot
execgo Execution-layer project for mapping upper-level agent decisions to reliable, safe, and observable tools/runtime environments. github.com/iammm0/execgo

Project sites:

Content Authoring

Documentation files live in content/docs.

Each MDX file should include frontmatter:

---
title: Page Title
description: Short page description
---

Use meta.json files to control sidebar grouping and order:

{
  "title": "核心概念",
  "pages": ["agent-loop", "tools-and-memory"]
}

Code Blocks

```ts title="agent-loop.ts" lineNumbers
export async function runAgent(goal: string) {
  return goal;
}
```

Mermaid

```mermaid
flowchart LR
  A[User Goal] --> B[Plan]
  B --> C[Act]
  C --> D[Reflect]
```

The homepage can use components under components/ for client-side interactive rendering when needed.

Quality Checks

Before pushing changes, run:

pnpm lint
pnpm exec tsc --noEmit
pnpm build

The current project has been verified with:

  • ESLint passing.
  • TypeScript type checking passing.
  • Production build passing.
  • Browser verification for desktop and mobile routes.

Design Principles

  • Documentation first, not a marketing page.
  • Clear, restrained developer-tool visual style.
  • Dense but readable information architecture.
  • No large purple gradient backgrounds or decorative hero-only layout.
  • Every primary page should expose real learning entry points.

Roadmap

  • Add deeper articles for planning, reflection, observability, and safety.
  • Expand framework comparison pages for AutoGen, CrewAI, OpenAI Agents SDK, and Vercel AI SDK.
  • Add runnable examples for research agents, code-review agents, and operations agents.
  • Add structured resource filtering by topic and difficulty.
  • Add search once the content volume grows.

Contributing

Contributions are welcome once the repository workflow is formalized.

Suggested contribution flow:

  1. Create or update MDX content under content/docs.
  2. Update the corresponding meta.json when adding new pages.
  3. Reuse existing components and site data from lib/site.ts.
  4. Run lint, type check, and build before opening a pull request.

License

No license has been selected yet. Until a license file is added, all rights are reserved by the repository owner.

About

Damn Agent is a developer-oriented documentation site for learning AI Agent engineering in Chinese.

Resources

Stars

8 stars

Watchers

0 watching

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages