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From mempalace
Mines projects and conversations into a semantic searchable memory palace. Manages palace setup, wings, rooms, drawers, and status queries.
How this skill is triggered — by the user, by Claude, or both
Slash command
/mempalace:mempalaceThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
A searchable memory palace for AI — mine projects and conversations, then search them semantically.
A searchable memory palace for AI — mine projects and conversations, then search them semantically.
Ensure mempalace is installed:
mempalace --version
If not installed (uv recommended):
uv tool install mempalace # or: pip install mempalace
MemPalace provides dynamic, version-correct instructions via the CLI. To get instructions for any operation:
mempalace instructions <command>
Where <command> is one of: help, init, mine, search, status.
Run the appropriate instructions command, then follow the returned instructions step by step.
This skill covers setup, mining, and status. For questions about past
work, prior decisions, or people that may already be filed in the
palace, prefer the mempalace-recall skill — it enforces
search-before-answer so the agent reads the palace instead of guessing.
mempalace-mcp server is auto-registered by this plugin. Once installed, all 33 MemPalace MCP tools (mempalace_search, mempalace_add_drawer, mempalace_diary_write, mempalace_check_duplicate, mempalace_diary_read, etc.) are available to the agent without any further configuration.hooks/cursor/install.sh --scope user from a cloned MemPalace repo. See website/guide/cursor-hooks.md for the full walkthrough.agent_name when calling mempalace_diary_write from a Cursor session is cursor-ide (matches the precedent of claude-code and codex).npx claudepluginhub mempalace/mempalace --plugin mempalaceSearches MemPalace before answering questions about past work, people, projects, or prior decisions. Returns verbatim stored content instead of guessing from model memory.
PROACTIVELY query Forgetful MCP (mcp__forgetful__* tools) when starting work on any project, when user references past decisions or patterns, when implementing features that may have been solved before, or when needing context about preferences. Save important decisions, patterns, and architectural insights to memory.
Manages persistent semantic memory across sessions: store/retrieve knowledge/TODOs/issues, hybrid semantic search, hierarchy/tags organization, and maintenance tools.