mempalace-wanderer

Manage local-first semantic memory and temporal knowledge graphs for Hermes Agents.

Updated May 12, 2026
One-click install
npx skills add https://github.com/botzero-net/mempalace-wanderer --skill mempalace-wanderer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mempalace-wanderer
Source: https://github.com/botzero-net/mempalace-wanderer/tree/main
Command: npx skills add https://github.com/botzero-net/mempalace-wanderer --skill mempalace-wanderer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

MemPalace Wanderer helps users turn chat history and research into reliable, local-first memory by combining semantic search, a temporal knowledge graph, and explicit cross-domain tunnels.

Core Features & Use Cases

  • Local-first semantic memory: Recall relevant past content with mempalace_search and keep a structured overview with mempalace_status.
  • Temporal Knowledge Graph facts: Add, invalidate, and query relationships using mempalace_kg_add, mempalace_kg_invalidate, and mempalace_kg_query.
  • Cross-wing tunnels for pathfinding: Create and verify bridges between wings/rooms using mempalace_create_tunnel and mempalace_follow_tunnels.
  • Operational workflows and guardrails: Run diagnostics, follow a “query before answering” workflow, and avoid common pitfalls like .hermes dot-quarks.

Quick Start

Ask your agent to configure the MemPalace MCP server, then load the skill so it can use mempalace_* tools for status, semantic recall, knowledge-graph facts, and tunnel wiring.

Frequently Asked Questions about mempalace-wanderer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a local knowledge graph for agent memory?

You can build a local knowledge graph for agent memory by using mempalace_kg_add to seed facts with a layered triple pattern, then retrieving them through mempalace_kg_query. The workflow supports temporal fact invalidation to keep your local memory accurate.

How does semantic search work with local memory for Hermes Agents?

Semantic search for local memory uses mempalace_search to recall relevant past content from local-first storage. The agent queries this memory before answering to retrieve historical context and prevent hallucinated facts during conversations.

Can I create cross-domain connections in a temporal knowledge graph?

Yes, you can create cross-domain connections in a temporal knowledge graph by using mempalace_create_tunnel to bridge wings and rooms. You verify these paths with mempalace_follow_tunnels for cross-domain pathfinding across distinct memory domains.

Do I need an MCP server setup for local-first semantic memory retrieval?

Yes, an MCP server setup is required for local-first semantic memory retrieval. You must configure the MemPalace MCP server and activate YAML-discovered tools like mempalace_status and mempalace_search before loading the agent skill.

What are the limitations of using a local memory palace for agent persistence?

A limitation of local memory palace persistence is the risk of hallucinated facts if the query-before-answer workflow is skipped. Users must also avoid common pitfalls like .hermes dot-quarks during knowledge graph management operations.