Nm Memory Palace Palace Diagram

Other

Generates Mermaid and ASCII diagrams of palace structure, knowledge topology, and synapse connectivity

Install

openclaw skills install @athola/nm-memory-palace-palace-diagram

Night Market Skill — ported from claude-night-market/memory-palace. For the full experience with agents, hooks, and commands, install the Claude Code plugin.

Palace Diagram

Generate Mermaid and ASCII diagrams from the knowledge graph, showing palace structure, entity relationships, synapse connectivity, and tier assignments.

Status: unwired. As of v1.9.4, no command or agent invokes Skill(memory-palace:palace-diagram). The skill defines the contract but the integration into /palace (e.g. as /palace diagram <palace-id>) is pending. Use the palace_manager.py script directly until the wiring lands. Tracked for follow-up in the April 2026 skill audit.

When To Use

  • Inspecting palace structure after creation or migration
  • Understanding knowledge topology and connections
  • Identifying strong and weak synapses (heatmap)
  • Reviewing entity relationships and triples
  • Getting an ASCII overview for inline display

When NOT To Use

  • Creating palaces: use memory-palace-architect
  • Searching knowledge: use knowledge-locator
  • Code architecture diagrams: use cartograph

Diagram Types

TypeFormatDescription
Palace mapMermaid flowchartRooms as subgraphs, entities as nodes, synapses as edges
Entity graphMermaid flowchartSingle entity's connections and triples
Synapse heatmapMermaid flowchartEdge styling by strength (thick=strong, dotted=weak)
ASCII overviewTextBox-drawing palace layout with entity counts

Workflow

  1. Identify palace by ID or name
  2. Choose diagram type based on what you want to see
  3. Generate diagram using PalaceRenderer
  4. Render via Mermaid Chart MCP (for Mermaid) or display inline (for ASCII)

Usage

Palace Map

from memory_palace.knowledge_graph import KnowledgeGraph
from memory_palace.palace_renderer import PalaceRenderer

graph = KnowledgeGraph("path/to/knowledge_graph.db")
renderer = PalaceRenderer(graph)
mermaid = renderer.palace_map("palace_id")

Then call mcp__claude_ai_Mermaid_Chart__validate_and_render_mermaid_diagram with the generated Mermaid string.

ASCII Overview

ascii_art = renderer.ascii_overview("palace_id")
print(ascii_art)

Entity Graph

mermaid = renderer.entity_graph("entity_id")

Synapse Heatmap

mermaid = renderer.synapse_heatmap("palace_id")

Edge Styling

StrengthStyleMeaning
>= 0.7==> (thick)Strong connection
>= 0.4--> (normal)Medium connection
< 0.4-.-> (dotted)Weak connection

Integration

Works with:

  • memory-palace-architect: visualize after palace creation
  • knowledge-locator: display search results as graph
  • graph-analyzer: tier-informed node sizing