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DollhouseMCP

by DollhouseMCP
04-portfolio-full.mdโ€ข2.16 kB
## ๐ŸŽจ Portfolio System The DollhouseMCP Portfolio system provides a comprehensive framework for managing AI elements locally and in the cloud. ### Portfolio Structure Your portfolio is organized by element type: ``` ~/.dollhouse/portfolio/ โ”œโ”€โ”€ personas/ # Behavioral profiles (Markdown files) โ”œโ”€โ”€ skills/ # Discrete capabilities (Markdown files) โ”œโ”€โ”€ templates/ # Reusable content structures (Markdown files) โ”œโ”€โ”€ agents/ # Goal-oriented actors (Markdown files) โ”œโ”€โ”€ memories/ # Persistent context (YAML files with date folders) โ”‚ โ”œโ”€โ”€ 2025-09-18/ โ”‚ โ”‚ โ””โ”€โ”€ project-context.yaml โ”‚ โ””โ”€โ”€ 2025-09-19/ โ”‚ โ”œโ”€โ”€ meeting-notes.yaml โ”‚ โ””โ”€โ”€ code-review.yaml โ””โ”€โ”€ ensembles/ # Element combinations (Markdown files) ``` **Note on File Types:** - **Markdown (.md)**: Used for personas, skills, templates, agents, and ensembles - human-readable with YAML frontmatter - **YAML (.yaml)**: Used exclusively for memories - structured data optimized for context storage **Memory Organization:** - Memories use automatic **YYYY-MM-DD** folder structure to prevent flat directory performance issues - Each memory file can grow up to ~100KB before creating a new file - Folder structure enables unlimited memory collections without degradation ### Key Features - **Local-First Architecture**: All elements stored locally with optional cloud sync - **GitHub Integration**: Sync your portfolio with GitHub for backup and sharing - **Version Control**: Full git integration for tracking changes - **Smart Detection**: Automatically identifies element types from content - **Flexible Naming**: Use any naming convention you prefer ### Portfolio Management Tools Use the comprehensive set of MCP tools to manage your portfolio: - `list_portfolio_elements` - View all elements across types - `sync_portfolio` - Synchronize with GitHub - `upload_to_portfolio` - Share elements with the community - `download_from_portfolio` - Get elements from GitHub For detailed portfolio documentation, see the [Portfolio Guide](docs/guides/PORTFOLIO_SETUP_GUIDE.md).

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