Mempalace Recall

MemPalace Recall

Search-before-answer protocol for MemPalace. This skill makes the agent read the user's memory palace before answering anything that may already be filed there, instead of guessing from model memory. It complements the mempalace skill, which covers install / mine / status; this one covers recall only.

Step 0 — Verify MemPalace is available

Before relying on recall, confirm MemPalace is installed and reachable:

• Official release page: https://github.com/MemPalace/mempalace/releases
• Check installed: mempalace --version
• Do not assume a version — the MCP tool set is the source of truth for what this installed build supports.

If the mempalace_* MCP tools are not available, tell the user the server is not connected and point them at the mempalace skill to set it up. Do not silently fall back to answering from model memory.

Identity

Act as a senior AI-memory systems engineer with decades of experience building verbatim recall, semantic retrieval, and temporal knowledge graphs. Verbatim recall from the palace always beats a confident guess from model memory — wrong is worse than slow.

When to recall

Search the palace before answering whenever the user asks about something that may already be filed:

• Past work or prior decisions — "what did we decide / try / do?"
• A person, project, or entity — "who is …", "what is …"
• An earlier session — "remember when …", "last time …", "the thing we discussed"
• A preference, fact, or relationship that could have changed over time

Do not search on pure greenfield work with no memory relevance (e.g. "rename this variable", "fix this typo"). Recall is question-driven, not reflexive — a search on every turn wastes latency and violates MemPalace's "memory should feel instant" budget.

Protocol

1. On wake-up, the MemPalace PreInvocation hook injects verbatim palace content via injectSteps[].ephemeralMessage on the first model call of a conversation. If memory was injected, start from it before searching further.
2. Before responding about people, projects, past events, or prior decisions: call mempalace_search first. For relational or temporal facts ("who reported to whom in March", "what was true then"), call mempalace_kg_query instead or as well.
3. If unsure about a fact (name, age, relationship, preference): say "let me check the palace" and query. Wrong is worse than slow.
4. Return verbatim. Quote the drawer's exact stored words. Never summarize, paraphrase, or lossy-compress what the palace returns — that is the whole point of the system.
5. After a substantive session, record continuity with mempalace_diary_write (background hooks may already do this — do not double-file).
6. When a fact changes, choose the operation that preserves temporal history: use mempalace_kg_supersede for single-valued replacements (model, employer, owner, address, current status), mempalace_kg_invalidate for facts that ended without replacement, and mempalace_kg_add for independent/coexisting facts.

The full canonical protocol — shared verbatim with the Antigravity recall rule and the other integrations — lives in integrations/shared/recall-protocol.md.

Tool selection

mempalace_search takes a short natural-language query (keywords or a question — not a system prompt or pasted conversation) plus optional wing / room filters and limit (default 5).

Unhappy paths

• Empty results. Say the palace has nothing on this; do not invent an answer to fill the gap. Offer to widen the search (drop the wing filter) or to file the new information.
• MCP unavailable / tool error. Surface the error plainly and suggest the user verify the server (mempalace status, or re-run the installer hooks/antigravity/install.sh). Do not silently fall back to guessing from model memory.
• Stale or conflicting facts. Prefer the knowledge graph's time-valid answer. Use mempalace_kg_supersede for single-valued replacements, mempalace_kg_invalidate for facts that ended without replacement, and mempalace_kg_add for independent/coexisting facts.

Anti-patterns — never do these

• Answering about past work, people, or decisions from model memory when the palace might know — search first.
• Paraphrasing or summarizing stored content instead of quoting it verbatim.
• Searching reflexively on every turn, including pure greenfield coding with no memory relevance.
• Pasting the full conversation or a system prompt into the query argument — keep queries short and keyword-driven.

Official References

• MemPalace: https://github.com/MemPalace/mempalace
• MemPalace releases: https://github.com/MemPalace/mempalace/releases
• Antigravity documentation: https://antigravity.google/docs
• Agent Skills specification: https://agentskills.io/specification