docs: add VitePress documentation site

- 22 content pages across Guide, Concepts, and Reference sections
- Custom indigo/cyan theme with Lucide icons and Mermaid diagrams
- GitHub Actions workflow for GitHub Pages deployment
- Live preview: https://mempalace-docs.netlify.app/
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Igor Lins e Silva
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# The Palace
Ancient Greek orators memorized entire speeches by placing ideas in rooms of an imaginary building. Walk through the building, find the idea. MemPalace applies the same principle to AI memory.
## Structure
Your conversations are organized into a navigable hierarchy:
```mermaid
graph TD
subgraph wing_person["WING: Person"]
direction TB
RA["Room A"] -- hall --> RB["Room B"]
RA --> CA["Closet"]
CA --> DA["Drawer (verbatim)"]
end
subgraph wing_project["WING: Project"]
direction TB
RA2["Room A"] -- hall --> RC["Room C"]
RA2 --> CA2["Closet"]
CA2 --> DA2["Drawer (verbatim)"]
end
RA -.->|tunnel| RA2
style wing_person fill:#1e1b4b,stroke:#4f46e5,color:#e0e7ff
style wing_project fill:#164e63,stroke:#06b6d4,color:#cffafe
style RA fill:#312e81,stroke:#6366f1,color:#e0e7ff
style RB fill:#312e81,stroke:#6366f1,color:#e0e7ff
style CA fill:#3b0764,stroke:#8b5cf6,color:#f3e8ff
style DA fill:#0f766e,stroke:#14b8a6,color:#ccfbf1
style RA2 fill:#155e75,stroke:#22d3ee,color:#cffafe
style RC fill:#155e75,stroke:#22d3ee,color:#cffafe
style CA2 fill:#3b0764,stroke:#8b5cf6,color:#f3e8ff
style DA2 fill:#0f766e,stroke:#14b8a6,color:#ccfbf1
```
## Components
### Wings
A person or project. As many as you need.
Every project, person, or topic gets its own wing in the palace. Wings are the top-level organizational unit.
### Rooms
Specific topics within a wing. Examples: `auth-migration`, `graphql-switch`, `ci-pipeline`.
Rooms are named ideas. They're auto-detected from your folder structure during `mempalace init`, and you can create additional rooms manually.
### Halls
Halls are the conceptual categories that describe how related memories connect *within* a wing:
- `hall_facts` — decisions made, choices locked in
- `hall_events` — sessions, milestones, debugging
- `hall_discoveries` — breakthroughs, new insights
- `hall_preferences` — habits, likes, opinions
- `hall_advice` — recommendations and solutions
### Tunnels
Connections *between* wings. When the same room appears in different wings, the graph layer can treat that as a cross-wing connection.
```
wing_kai / hall_events / auth-migration → "Kai debugged the OAuth token refresh"
wing_driftwood / hall_facts / auth-migration → "team decided to migrate auth to Clerk"
wing_priya / hall_advice / auth-migration → "Priya approved Clerk over Auth0"
```
Same room. Three wings. The graph can use that shared room name as a bridge.
### Closets
Closets are the summary layer in the broader MemPalace vocabulary: compact notes that point back to the original content. In the current implementation, the main persisted storage path is still the underlying drawer text plus metadata.
### Drawers
The original stored text chunks. This is the primary retrieval layer used by the current search and benchmark flows.
## Why Structure Matters
Tested on 22,000+ real conversation memories:
| Search scope | R@10 | Improvement |
|-------------|------|-------------|
| All closets | 60.9% | baseline |
| Within wing | 73.1% | +12% |
| Wing + hall | 84.8% | +24% |
| Wing + room | 94.8% | +34% |
The practical point is that structure improves retrieval. In the project benchmarks, narrowing the search scope by wing and room outperformed searching the entire corpus at once.
## Navigation
The palace supports graph traversal across wings:
```text
MCP tool: mempalace_traverse
arguments: { "start_room": "auth-migration" }
→ discovers rooms in wing_kai, wing_driftwood, wing_priya
MCP tool: mempalace_find_tunnels
arguments: { "wing_a": "wing_code", "wing_b": "wing_team" }
→ auth-migration, deploy-process, ci-pipeline
```
This is the navigation story: shared room structure gives the model more than one way to reach relevant context.