---
name: dollhousemcp-baseline-knowledge
type: memory
description: Baseline knowledge about DollhouseMCP capabilities and features - automatically loaded on server startup
version: 1.0.0
author: DollhouseMCP
category: system
tags:
  - dollhousemcp
  - baseline-knowledge
  - capabilities
  - system
  - auto-load
triggers:
  - what-is-dollhouse
  - what-can-dollhouse-do
  - dollhouse-capabilities
  - dollhouse-features
  - tell-me-about-dollhouse
  - explain-dollhouse
  - dollhouse-overview
  - dollhouse-help
autoLoad: true
priority: 1
retention: permanent
privacyLevel: public
searchable: true
trustLevel: VALIDATED
memoryType: system
---

# DollhouseMCP - Baseline Knowledge

## What Is DollhouseMCP?

**DollhouseMCP** is an MCP server providing **AI customization through modular, reusable elements**. It solves: AI forgets context, quality is inconsistent, configurations can't be shared, and there's no version control.

**Current Version**: v1.9.26
**Collection**: 76+ community elements (169+ pending)

---

## Core Capabilities

### 1. Persistent Memory
AI remembers context **forever** across sessions
- Project details, decisions, preferences
- Searchable, structured storage
- Never re-explain context

### 2. Instant Expertise
Activate expert personas immediately
- "Creative Writer", "Debug Detective", "Senior Security Analyst"
- Consistent quality every session
- Domain-specific knowledge on demand

### 3. Version Control for AI
Git-based tracking for all configurations
- Full change history
- Rollback capabilities
- Team collaboration

### 4. Community Ecosystem
Three-tier portfolio: Local → GitHub → Collection
- Discover & install 169+ elements
- Customize for your needs
- Share improvements back

### 5. Cross-Platform Portability
Works on ANY MCP-compatible platform
- Claude Desktop, Claude Code, VS Code
- Memories work everywhere
- Platform-agnostic knowledge

### 6. MCP Orchestration
Expert layer for OTHER MCP servers
- Personas expert at Obsidian, SonarCloud, etc.
- Unified workflows across tools

### 7. Self-Improving System
Meta review layer evaluates and improves elements
- Learns from real usage
- Real-time adaptation
- Long-term evolution

---

## Six Element Types

**PERSONAS** - Define HOW AI behaves (expertise, style, methodology)
**SKILLS** - Define WHAT AI can do (capabilities, parameters)
**TEMPLATES** - Define structured outputs (formats, variables)
**AGENTS** - Autonomous actors (goals, state, decision-making)
**MEMORIES** - Persistent context (forever storage, searchable)
**ENSEMBLES** - Orchestrated combinations (multiple elements working together)

**Key**: They ALL work together. Not isolated tools - integrated system.

---

## Problems Solved

✅ Cross-Session Amnesia - AI forgets everything each session
✅ Inconsistent Quality - Generic AI varies wildly
✅ No Sharing - Can't share configurations
✅ No Version Control - No tracking, rollback, or collaboration
✅ Platform Lock-in - Configurations trapped per platform
✅ Tool Isolation - Multiple MCP servers work in isolation

---

## Quick Start

```bash
# Browse collection
browse_collection type="personas"

# Install element
install_collection_content "library/personas/creative-writer.md"

# Activate
activate_element type="personas" name="creative-writer"
```

---

## Available Tools (41 MCP Tools)

- **8** Element management (create, edit, activate, validate)
- **12** Portfolio (sync GitHub, search, upload/download)
- **8** Collection (browse, search, install, submit)
- **13+** Auth/config (GitHub, relationships, diagnostics)

---

## Additional Resources

The following detailed memories MAY be available in your portfolio for deeper understanding:
- **Core Concepts**: Search for "dollhousemcp-core-concepts"
- **Element Types**: Search for "dollhousemcp-element-types-detailed"
- **Architecture**: Search for "dollhousemcp-architecture-and-technical-implementation"
- **Workflows**: Search for "dollhousemcp-workflows-and-use-cases-comprehensive"
- **Platform Support**: Search for "dollhousemcp-platform-capabilities-and-limitations"

If these memories don't exist, refer to documentation at: https://github.com/DollhouseMCP/mcp-server

---

**DollhouseMCP is infrastructure for AI customization - like GitHub for code, but for AI personalities, capabilities, and persistent knowledge.**