Team Knowledge Governance Platform | Generated by AI
This is a Team Knowledge Base (团队知识库) — a full-stack web application for managing and governing team knowledge, built around a layered knowledge model.
Stack:
- Backend: Python FastAPI (controllers, services, middlewares, SQL database)
- Frontend: Vue 3 + TypeScript + Vite + Vue Router
- Storage: Markdown files in a Git repo with machine-validated JSON metadata blocks
Knowledge layers (the core organizing concept):
| Layer | Description |
|---|---|
| Layer 0-P | Personal experience |
| Layer 0-T | Team conventions |
| Layer 1 | Technical knowledge |
| Layer 2 | Business knowledge |
| Layer 3 | Project knowledge |
Knowledge types: model, decision, guideline, pitfall, process
Features (from the routes and views):
- Knowledge creation with a guided flow (create → preview → complete)
- Knowledge browsing with layer/category filtering
- Permission management (reader / contributor / maintainer / super_admin roles)
- Super admin panel
- Member management & business domain management
- Preview tokens for sharing knowledge externally
- Governance CLI tool (
knowledge_governance.py) for file-based validation - Audit logging
Already populated: The tech-wiki/ directory has 18 knowledge entries — decisions (e.g., “Python 3.12”, “Vue 3 + TypeScript”), guidelines (e.g., “hidden mirror layer scheme”, “bash one-click dev script”), patterns, anti-patterns, and pitfalls — all maintained as Markdown with machine-parseable metadata.
Basically it’s a knowledge governance platform — a structured wiki system where knowledge is treated as code (stored in Git, reviewed, versioned) with a web UI for injection and browsing, plus a CLI tool for governance enforcement.
Generated by AI. Curating and sharing still takes effort.
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