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awesome-ai-pedia

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awesome-ai-pedia/awesome-ai-pedia

One-stop AI resource encyclopedia for dsh — LLMs, agents, RAG, multimodal, MLOps, AI tools, vibe coding and learning roadmaps, constantly updated.

View on GitHubHomepage
$ git clone https://github.com/Awesome-AI-Pedia/Awesome-AI-Pedia.git

363

stars

36

forks

TypeScript

Language

MIT

License

2026-08-03

Created

2026-09-10

Last push

MIT-licensed Chinese AI knowledge base (VitePress) covering MCP, Agent and Harness Engineering guides — an ecosystem reference used alongside DeepSeek Harness, not installed as a dsh plugin.

DSH integration

Ecosystem-related

Author-claimed

Safety audit

Unaudited

Last verified

2026-08-21

License

MIT

01What can it help you accomplish?

  • Look up AI tool guides, best practices and real-world experience for MCP, Agent, Skills, Prompt engineering and coding assistants

    Searchable Markdown guides organized by category — claudeCode, cursor, mcp, Agent, Harness Engineering, prompt, rules, skills, vibe coding, AI interview prep and more

    Developers using DeepSeek Harness and other AI coding tools who need practical reference material for MCP servers, skills and prompt/rules engineering

  • Run the knowledge base locally as a searchable documentation site

    A local VitePress dev server serving the whole repository as docs, with built-in full-text search and a dark theme

    Teams that want an offline copy of the AI pedia to browse or extend

02How to install into DeepSeek Harness

Prerequisites

  • Node.js — the `start.sh` script automatically checks the Node version before installing dependencies

Installation steps

  1. 01

    Clone the repository: `git clone https://github.com/Awesome-AI-Pedia/Awesome-AI-Pedia.git` then `cd Awesome-AI-Pedia`

    $ git clone https://github.com/Awesome-AI-Pedia/Awesome-AI-Pedia.git

  2. 02

    Grant execute permission on first run: `chmod +x start.sh`

  3. 03

    Start with one command: `./start.sh` — it checks the Node version, installs dependencies and starts the dev server

Verify the integration

Not specified by the author

03DSH integration and capability boundaries

DSH integrationEcosystem-related

Ecosystem knowledge base — a VitePress AI pedia covering MCP, Agent and Harness Engineering guides; it is browsed or self-hosted alongside DeepSeek Harness, not installed as a dsh plugin

  • Categorized AI knowledge directories

    the repository's root-level category foldersMarkdown guides per category: claudeCode, cursor, codex, mcp, Agent, Harness Engineering, prompt, rules, skills, 部署ai, vibe coding, Ai面试类 and more

  • Built-in local full-text search

    search keywords in the VitePress sitefull-text search results across all knowledge pages

  • Dark theme by default

    the VitePress site UIa dark interface enabled by default for long reading sessions

  • Automatic deployment to GitHub Pages

    pushes to the `master` branchthe site is automatically built and published to GitHub Pages

    every push to `master` triggers a GitHub Actions build and publish

04Who is it for? When not to use it?

Good for

  • Developers using DeepSeek Harness and other AI coding tools who need practical reference material for MCP servers, skills and prompt/rules engineering
  • Teams that want an offline copy of the AI pedia to browse or extend

Not for

  • The README and knowledge-base content are written primarily in Chinese, so non-Chinese readers get limited value from the raw Markdown.
  • The repository is very young (created 2026-08-03) with no releases, so content structure and guides may change rapidly.

05Compatibility, maintenance and safety notes

  • The README and knowledge-base content are written primarily in Chinese, so non-Chinese readers get limited value from the raw Markdown.
  • Local runs depends on Node.js and the bundled `start.sh` script; the README documents no alternative install path or minimum Node version number.
  • The repository is very young (created 2026-08-03) with no releases, so content structure and guides may change rapidly.
2026-08-032026-08-19Not specified by the author

MIT · actively maintained (last push 2026-08-19)

06Frequently asked questions

How do I use Awesome AI Pedia with DeepSeek Harness?

It is an ecosystem knowledge base, not a dsh plugin: you browse the guides online or run the site locally for reference while working with DeepSeek Harness. The README documents no direct dsh integration.

What topics does it cover?

Claude Code, Cursor, Codex, MCP practices (Figma, Playwright, Context7, Chrome DevTools and more), Agent, Harness Engineering, Prompt engineering, coding rules, Skills, AI deployment, vibe coding and AI interview prep.

How do I run it locally?

Clone the repository, run `chmod +x start.sh` once, then `./start.sh`. The script checks your Node version, installs dependencies and starts the VitePress dev server.

Is there an online version?

Yes — the site is automatically built and published to GitHub Pages on every push to `master`, and is available at awesome-ai-pedia.github.io/Awesome-AI-Pedia.

What language is the content in?

The README and knowledge-base articles are written primarily in Chinese.

08Data and sources

  • Author-claimedgithub.com7776171e9ac5…

    Awesome AI Pedia 是一个现代化 AI 知识库,旨在为开发者提供全面的 AI 工具使用指南、最佳实践和实战经验分享。

  • Author-claimedgithub.com7776171e9ac5…

    | [`mcp/`](./mcp) | Model Context Protocol:Figma / 蓝湖 / 飞书 / Playwright / Context7 / Chrome DevTools 等 MCP 实战 |

This page is generated from the project’s public documentation, repository metadata and a structured parse of DSH Plugins; last verified on 2026-08-21. Found an error? Submit a correction.

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