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.