mempalace — Claude Code skill: what it does, how to install
Configures MemPalace searchable memory as a private local store, a shared-brain hub, or a remote client connected via MCP.
npx skills add MemPalace/mempalace --skill mempalace -a claude-codeWhat mempalace does
This skill guides the installation and wiring of MemPalace for your agent. It first checks your Python environment and uv availability. For CLI setup, it prefers running uv tool install mempalace, falling back to python -m pip install mempalace. Initialization runs step-by-step through dynamic instructions fetched via mempalace instructions init.
MemPalace supports three topologies: a private local palace over stdio MCP, a shared-brain hub for multiple agents, or a remote client joining an existing hub with a bearer token. The skill registers the 47-tool mempalace-mcp server, writes durable agent identity rules into files like CLAUDE.md, and confirms readiness using mempalace status.
Logstream events are immutable, so the skill avoids sending test events without confirmation. It never rebuilds an existing palace just to simplify setup. If memory gets disorganized, it guides you through mempalace instructions audit and runs safe read-only checks with mempalace audit --json.
What it helps with
- wire MemPalace into Claude Code or Codex using stdio MCP
- set up a shared-brain hub to coordinate multiple coding agents
- audit and repair memory wings and rooms without data loss
- connect a client agent to an existing hub via bearer token
Example prompts for the agent
- Set up a private local MemPalace instance for this workspace
- Run a palace audit and show recommendations for messy memory wings
- Connect this client to our shared-brain MemPalace hub
How to install mempalace
1Skills CLI (Vercel)
npx skills add MemPalace/mempalace --skill mempalace -a claude-code2Manually: put the files in place
~/.claude/skills/mempalace/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/mempalace/
1Skills CLI (Vercel)
npx skills add MemPalace/mempalace --skill mempalace -a codex2Manually: put the files in place
.agents/skills/mempalace/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add MemPalace/mempalace --skill mempalace -a cursor2Manually: put the files in place
.cursor/skills/mempalace/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install MemPalace/mempalace mempalace2Manually: put the files in place
.github/skills/mempalace/SKILL.md1Skills CLI (Vercel)
npx skills add MemPalace/mempalace --skill mempalace -a gemini-cli2Platform CLI
gemini skills install https://github.com/MemPalace/mempalace --path skills/mempalaceManually: put the files in place
.devin/skills/mempalace/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add MemPalace/mempalace --skill mempalace -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
From the same set2
The whole set →Similar
Questions about mempalace
How to install mempalace in Claude Code?
Run npx skills add MemPalace/mempalace --skill mempalace -a claude-code in your terminal.
What does the mempalace skill do?
It inspects your Python environment, installs the MemPalace CLI, registers MCP tools, and orchestrates shared memory setups.
Which deployment topologies are supported?
You can deploy a private local palace using stdio MCP, configure a central shared-brain hub, or connect an agent as an HTTP client to an existing hub.
Source text
SKILL.md · MIT
--- name: mempalace description: 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, palace audit and repair, 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: ```bash uv tool install mempalace ``` If `uv` is unavailable, use the PATH-visible Python installation: ```bash 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: ```bash 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: ```bash 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](https://mempalaceofficial.com/guide/shared-brain.html). 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: ```bash mempalace rules --host <host> --harness <harness> --project <example> ``` Default `--mcp full` matches the 47-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. ## Palace health: audit and repair session When the user asks how well organized the palace is, whether memory is "messy", why a scoped search or wake-up misses things, or invokes `/mempalace:audit`, run the audit and then offer a repair session: ```bash mempalace instructions audit ``` Follow the returned instructions. In short: run `mempalace audit --json` (read-only, safe while the MCP server is running), present the five layer scores and findings, then walk the user through repairs **one structured question at a time** with a recommended option first: merging wings and rooms spelled two ways, folding stub wings, deleting tunnels on generic tokens and self-link hallways, agreeing a knowledge-graph predicate vocabulary, and giving flat wings a closed room set with `mempalace rooms propose` / `apply`. Moves over deletions, numbers before actions, verbatim content always. Re-run the audit at the end and write a diary entry with the before and after scores and every decision made. ## 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](https://mempalaceofficial.com/guide/cursor-hooks.html) 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 - [Shared brain](https://mempalaceofficial.com/guide/shared-brain.html) - [Coordination protocol](https://github.com/MemPalace/mempalace/blob/main/integrations/shared/coordination-protocol.md) - [Recall protocol](https://github.com/MemPalace/mempalace/blob/main/integrations/shared/recall-protocol.md)
© MemPalace · MIT · MemPalace/mempalace