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AI-driven knowledge evolution network for human-AI collaboration
面向 AI 时代的人类知识协作、验证与涌现网络
EN · AI Knowledge Bank is a living knowledge system. It helps people turn scattered AI practices into reusable standards through branching, validation, discussion, voting, and emergence.
中文 · AI Knowledge Bank 不是静态课程站，也不是普通 Prompt 仓库。它把知识看作一个持续演化的网络：用户贡献实践经验，社区在真实场景中验证，高价值分支再合并为新的公共标准。
| Design layer | English | 中文 |
|---|---|---|
| Network atmosphere | Dynamic particle grid inspired by connected knowledge nodes | 以动态粒子网格表达知识节点之间的连接 |
| Liquid glass | Translucent navigation, metric panels, cards, and actions | 导航、数据面板和操作按钮采用液态玻璃质感 |
| Bilingual interface | Runtime Chinese and English language switching | 支持中英文运行时切换 |
| Knowledge workflow | Fork, validate, discuss, vote, merge, and track evolution | 分叉、验证、讨论、投票、合并、追踪演化 |
| Deployment surface | Cloudflare Pages, GitHub Pages, and Vercel-compatible build | 支持 Cloudflare Pages、GitHub Pages 和 Vercel 构建 |
flowchart LR
A["Fork<br/>创建知识分支"] --> B["Validate<br/>真实场景验证"]
B --> C{"Signal strong enough?<br/>信号足够强？"}
C -->|Yes / 是| D["Emerge<br/>合并为公共标准"]
C -->|No / 否| E["Iterate<br/>继续优化"]
E --> B
D --> A
The system borrows collaboration ideas from Git, but applies them to human skills, AI workflows, and reusable knowledge assets.
这个系统借鉴 Git 的协作思想，但对象不是代码，而是人类技能、AI 工作流和可复用知识资产。
| Module | English | 中文 |
|---|---|---|
| Knowledge nodes | Create, update, search, version, and categorize knowledge | 创建、更新、搜索、版本化和分类知识节点 |
| Validation | Submit fact checks, peer reviews, and scenario validation | 提交事实核验、同行评审和场景验证 |
| Fork and merge | Create branches, propose merges, vote, and decide | 创建分支、发起合并提案、投票和决策 |
| Discussion | Threaded comments, replies, and community feedback | 多级评论、回复和社区反馈 |
| Subscription | Follow nodes and receive update notifications | 关注节点并接收更新通知 |
| Evolution history | Track how knowledge changes over time | 追踪知识随时间变化的完整历史 |
| CAS metrics | Calculate activity, reputation, and emergence indicators | 计算活跃度、声誉和涌现指标 |
| Platform | URL |
|---|---|
| Primary Cloudflare Pages | https://aiknowledgebank.pages.dev |
| Cloudflare Pages backup | https://ai-knowledge-bank.pages.dev |
| GitHub Pages | https://greatbeing.github.io/AI-Knowledge-Bank/ |
| Layer | Technology |
|---|---|
| Frontend | Vite 6, TypeScript, HTML5, Canvas |
| UI system | Tailwind CSS, liquid glass visual language |
| Data layer | Supabase, PostgreSQL, Row Level Security |
| Workflow logic | TypeScript service, SQL triggers, optimized views |
| Deployment | Cloudflare Pages, GitHub Pages, Vercel |
| Quality | ESLint 9 flat config, TypeScript build checks |
npm install
npm run devBuild and verify / 构建与验证：
npm run lint
npm run build
npm run previewThe project can run as a static demo without Supabase credentials. To enable the full workflow backend, create a Supabase project and run the migrations in order:
本项目可以在没有 Supabase 配置的情况下作为静态演示运行。如果要启用完整知识工作流后端，请创建 Supabase 项目并按顺序执行迁移：
supabase/migrations/001_cas_emergence_algorithm.sql
supabase/migrations/002_user_system.sql
supabase/migrations/003_knowledge_workflow.sql
Then configure / 然后配置：
VITE_SUPABASE_URL=your-project-url
VITE_SUPABASE_ANON_KEY=your-anon-keyRelated docs / 相关文档：
| Guide | Purpose |
|---|---|
| USER_SYSTEM_SETUP.md | User auth, profile, badges, notifications |
| WORKFLOW_GUIDE.md | Knowledge workflow API and usage |
| DEPLOYMENT_GUIDE.md | Deployment options and environment setup |
.
├── index.html # Main experience and particle network UI
├── assets/readme/ # Repository homepage visual assets
├── components/ # React components and visual modules
├── lib/ # Auth, workflow, and shared utilities
├── supabase/migrations/ # Database schema, policies, triggers, views
├── types/ # TypeScript definitions
├── .github/workflows/ # GitHub Pages deployment workflow
└── dist/ # Production build output
| Stage | Status | Focus |
|---|---|---|
| V0.1 Genesis | Done | Concept validation and first interactive demo |
| V0.5 Alpha | Done | Evolution tree and scoring model |
| V0.8 User System | Done | Authentication, profiles, badges, notifications |
| V0.9 Workflow | Done | Knowledge nodes, validation, fork, merge, comments |
| V1.0 Beta | In progress | Production deployment, mobile polish, performance |
| V1.5 Agent Layer | Planned | AI-assisted knowledge extraction and SOP generation |
| V2.0 Governance | Planned | Community governance and decentralized contribution rules |
Contributions are welcome from developers, designers, AI practitioners, educators, and researchers interested in better human-AI collaboration systems.
欢迎开发者、设计师、AI 实践者、教育者和研究者参与，共同探索更好的 Human-AI 协作系统。
- Fork the repository.
- Create a feature branch.
- Commit focused changes.
- Open a pull request with a clear explanation.
See CONTRIBUTING.md for contribution details.
This project is released under the MIT License.
AI Knowledge Bank
Build, validate, and evolve knowledge for the AI era.
为 AI 时代构建、验证并演化知识。