mempalace

mempalace

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Install, configure, and operate MemPalace, including a private local palace, a shared-brain hub, or a client joining an existing hub. Use for first-time setup, MCP wiring, mining, status, wings, rooms, drawers, shared-brain identity, or logstream readiness.

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更新于 2026/9/18
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SKILL.md
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名称
mempalace
描述

Install, configure, and operate MemPalace, including a private local palace, a shared-brain hub, or a client joining an existing hub. Use for first-time setup, MCP wiring, mining, status, wings, rooms, drawers, shared-brain identity, or logstream readiness.

MemPalace Setup

A guided, skill-first setup for a searchable memory palace. The user may have
installed this skill with npx skills add before the MemPalace Python package
or MCP server exists; that is the normal bootstrap path.

Setup protocol

1. Inspect before changing anything

  • Detect the OS and current agent harness.
  • Run mempalace --version, uv --version, and an appropriate Python version
    check. Do not assume that an installed Python package is reachable on PATH.
  • Check for an existing palace and MCP registration. Never reinitialize or
    rebuild an existing palace just to make setup simpler.

2. Install the CLI when necessary

Prefer an isolated uv tool installation:

uv tool install mempalace

If uv is unavailable, use the PATH-visible Python installation:

python -m pip install mempalace

After installation, run mempalace --version. If it still is not reachable,
fix PATH or use the matching uv tool run invocation before continuing.

3. Choose the topology with the user

Ask which outcome they want unless it is already clear:

  1. private local palace — one machine, local stdio MCP;
  2. shared-brain hub — this machine owns the palace and serves the fleet;
  3. client joining an existing hub — this machine connects to a hub owned
    elsewhere.

Also ask which project or conversation corpus should be initialized, offering
the current working directory as the default. A shared-brain client does not
initialize a second copy of the owner's palace.

4. Run version-correct initialization

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.

For a new local palace or hub, follow mempalace instructions init, configure
the selected corpus, then verify with mempalace status. For a client, skip
local initialization and obtain the hub URL and bearer token from the user.

5. Configure MCP

For local stdio integrations, use the command printed by mempalace mcp.
Typical registrations are:

claude mcp add mempalace -- mempalace-mcp
codex mcp add mempalace -- mempalace-mcp

For a shared-brain hub, guide the user through mempalace serve and the
official shared-brain guide. Do not expose a non-loopback server without
authentication. For a client joining an existing hub, configure the harness's
HTTP MCP transport with the supplied bearer token; never print or store that
token in project instructions, drawers, or logstream events.

Restart or reconnect the harness when required, then verify that the live MCP
tool list includes MemPalace tools. Package installation alone is not proof
that MCP is connected.

6. Configure shared-brain identity and coordination

When shared-brain mode is selected:

  • Agree on a stable host:harness:project identity: lowercase host label
    (machine), harness family (claude, codex, grok, antigravity, …),
    and the current workspace as project. Two windows in the same project
    are one actor.

  • Render the canonical rules with:

    mempalace rules --host <host> --harness <harness> --project <example>
    

    Default --mcp full matches the 45-tool mempalace-mcp server this
    skill registers. If the user opted into mempalace-light-mcp, re-render
    with --mcp light instead. Replace an existing
    <!-- mempalace-shared-brain --> block instead of appending a duplicate.

  • Install the rendered marker-delimited block in the harness's durable agent
    instructions (Claude ~/.claude/CLAUDE.md, Codex ~/.codex/AGENTS.md,
    Grok ~/.grok/AGENTS.md, Antigravity ~/.gemini/config/GEMINI.md).

  • Check coordination access with a read-only mempalace logstream list or the
    equivalent MCP event-list call.

  • Interactive sessions are declared-idle: they sweep the inbox on collab /
    before long tasks and do not arm a watcher at session start. Arm
    mempalace logstream watch --agent <host>:<harness>:<project> (the CLI
    defaults a sanitized --state-file) only when the user asked to listen,
    the agent claimed a task, or it delegated. A remote-only MCP client must
    instead loop on mempalace_event_wait, preserving the last event id as
    since_event_id; never point it at a local SQLite watcher. Explain any
    permission allowlisting needed. If it cannot maintain either loop, record
    that the agent is turn-based and must sweep its MCP inbox with
    mempalace_event_list on wake-up.

Do not post a test event without telling the user: logstream events are
immutable. If the user approves a smoke event, address it narrowly and close
the loop with an acknowledgement.

7. Report readiness

Summarize the installed version, palace location or hub URL (without secrets),
MCP connection, stable agent identity, watcher mode, and the first safe next
action. For active delegation, hand off to the mempalace-task skill.

Ask whether the user wants weekly stable-release checks. The default is no.
Explain that enabling them contacts PyPI but sends no palace content, identity,
or telemetry. When enabling, record the installer actually used with
mempalace update configure --enable --installer uv-tool (or pipx / pip);
use --disable to opt out. Checks never install anything. In
mempalace_status, treat updates.server as the palace-serving runtime and
updates.client (when present) as the local proxy runtime; do not conflate
their versions or installers. For a client update, use the local mempalace update plan. A remote server update is informational on the client: surface it
naturally and ask the hub operator to prepare and authorize the plan on the
palace-serving machine. Never use a client-generated plan to upgrade the
server, and never execute any plan without explicit approval.

Recalling past work

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.

Cursor-specific notes

  • The Cursor plugin auto-registers mempalace-mcp; a standalone npx skills add installation does not. Always verify the live tool list.
  • For automatic background saving every N agent turns plus session-start memory recall, also install the Cursor hooks separately by running hooks/cursor/install.sh --scope user from a cloned MemPalace repo. See the Cursor hooks guide for the full walkthrough.
  • The recommended agent_name when calling mempalace_diary_write from a Cursor session is cursor-ide (matches the precedent of claude-code and codex).

Canonical references