weseek__growi/.kiro/steering/product.md

Product Overview

GROWI is a team collaboration wiki platform using Markdown, designed to help teams document, share, and organize knowledge effectively.

Core Capabilities

1. Hierarchical Wiki Pages: Tree-structured page organization with path-based navigation (/path/to/page)
2. Markdown-First Editing: Rich Markdown support with extensions (drawio, lsx, math) and Yjs-based real-time collaborative editing
3. AI-Assisted Editing: OpenAI/Azure OpenAI integration for editor assistance, page path suggestion, and customizable AI assistants with knowledge bases (vector stores)
4. Authentication Integrations: Multiple auth methods (LDAP, SAML, OAuth, Passkey) for enterprise environments
5. Plugin System: Extensible architecture via @growi/pluginkit for custom remark plugins and functionality
6. Audit & Compliance: Activity logging, audit log search (Elasticsearch-backed), and bulk export for compliance needs
7. Multi-Service Architecture: Modular services (PDF export, Slack integration) deployed independently
8. Observability: OpenTelemetry integration for monitoring and tracing

Target Use Cases

• Team Documentation: Technical documentation, meeting notes, project wikis
• Knowledge Management: Searchable, organized information repository
• Enterprise Deployment: Self-hosted wiki with SSO/LDAP integration
• Developer Teams: Markdown-native, Git-friendly documentation workflow

Value Proposition

• Open Source: MIT licensed, self-hostable, community-driven
• Markdown Native: First-class Markdown support with powerful extensions
• Hierarchical Organization: Intuitive path-based page structure (unlike flat wikis)
• Enterprise Ready: Authentication integrations, access control, scalability
• Extensible: Plugin system for customization without forking

Deployment Models

• Self-Hosted: Docker, Kubernetes, or bare metal deployment
• Microservices: Optional services (pdf-converter, slackbot-proxy) for enhanced functionality

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Updated: 2026-04-16. Added AI assistant, audit/compliance, and observability capabilities. Focus on patterns and purpose, not exhaustive feature lists