What makes mempalace notable?

2.2K downloads. Trust evidence available

How should mempalace be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

mempalace

MemPalace — Local AI memory with 96.6% recall. Semantic search over past conversations, knowledge graph with temporal facts, palace architecture (wings/rooms... Skill: mempalace Owner: wanikua Summary: MemPalace — Local AI memory with 96.6% recall. Semantic search over past conversations, knowledge graph with temporal facts, palace architecture (wings/rooms... Tags: latest:1.4.0 Version history: v1.4.0 | 2026-04-08T05:46:11.505Z | auto - Updated license and attribution: now credits Ben Sigman, Igor Lins e Silva, Milla Jovovich, and adv3nt3. - No functional or protocol change

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

2.2k

Updated

Oct 9, 2026

Version

1.4.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2.2K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 2.2K downloadsadoption · observed Oct 9, 2026
Latest release: 1.4.0release · observed Apr 8, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s178eq03sfh27vee3f6hzy3scs83hv8q:mempalace

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-wanikua-mempalace/snapshot"

Documentation

CLAWHUB

33,658 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: mempalace
description: "MemPalace — Local AI memory with 96.6% recall. Semantic search over past conversations, knowledge graph with temporal facts, palace architecture (wings/rooms/drawers). Free, no cloud, no API keys. Highest LongMemEval score ever published."
version: 1.4.0
homepage: https://github.com/milla-jovovich/mempalace
user-invocable: true
metadata:
  openclaw:
    emoji: "🏛️"
    requires:
      anyBins:
        - mempalace
        - python3
    install:
      - id: mempalace-pip
        kind: uv
        label: "Install MemPalace (Python, local ChromaDB)"
        package: mempalace
        bins:
          - mempalace
---

# MemPalace — Local AI Memory System

You have access to a local memory palace via MCP tools. The palace stores verbatim conversation history and a temporal knowledge graph — all on the user's machine, zero cloud, zero API calls.

## Architecture

- **Wings** = people or projects (e.g. `wing_alice`, `wing_myproject`)
- **Halls** = categories (facts, events, preferences, advice)
- **Rooms** = specific topics (e.g. `chromadb-setup`, `riley-school`)
- **Drawers** = individual memory chunks (verbatim text)
- **Knowledge Graph** = entity-relationship facts with time validity

## Protocol — FOLLOW THIS EVERY SESSION

1. **ON WAKE-UP**: Call `mempalace_status` to load palace overview.
2. **BEFORE RESPONDING** about any person, project, or past event: call `mempalace_search` or `mempalace_kg_query` FIRST. Never guess from memory — verify from the palace.
3. **IF UNSURE** about a fact (name, age, relationship, preference): say "let me check" and query. Wrong is worse than slow.
4. **AFTER EACH SESSION**: Call `mempalace_diary_write` to record what happened, what you learned, what matters.
5. **WHEN FACTS CHANGE**: Call `mempalace_kg_invalidate` on the old fact, then `mempalace_kg_add` for the new one.

## Available Tools

### Search & Browse
- `mempalace_search` — Semantic search across all memories. Always start here.
  - `query` (required): natural language search
  - `wing`: filter by wing
  - `room`: filter by room
  - `limit`: max results (default 5)
- `mempalace_status` — Palace overview: total drawers, wings, rooms
- `mempalace_list_wings` — All wings with drawer counts
- `mempalace_list_rooms` — Rooms within a wing
- `mempalace_get_taxonomy` — Full wing/room/count tree

### Knowledge Graph (Temporal Facts)
- `mempalace_kg_query` — Query entity relationships. Supports time filtering.
  - `entity` (required): e.g. "Max", "MyProject"
  - `as_of`: date filter (YYYY-MM-DD) — what was true at that time
  - `direction`: "outgoing", "incoming", or "both"
- `mempalace_kg_add` — Add a fact: subject -> predicate -> object
  - `subject`, `predicate`, `object` (required)
  - `valid_from`: when this became true
- `mempalace_kg_invalidate` — Mark a fact as no longer true
  - `subject`, `predicate`, `object` (required)
  - `ended`: when it stopped being true (default: today)
- `mempalace_kg_timeline` — Chronological story

_meta.json

{
  "ownerId": "kn70yzag7nfv6ybp1dvq6hezss820q23",
  "slug": "mempalace",
  "version": "1.4.0",
  "publishedAt": 1775627171505
}

skill-card.md

## Description:

MemPalace provides local AI memory with semantic search over past conversations, a temporal knowledge graph, and a palace-style organization model for stored memories.

This skill is ready for commercial/non-commercial use.

## Publisher:

[wanikua](https://clawhub.ai/user/wanikua)

### License/Terms of Use:

MIT-0

## Use Case:

External users and developers use this skill to connect an agent to a local MemPalace memory store, search prior conversation archives, query temporal facts, and write updated memories across sessions.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Conversation archives may contain secrets, regulated data, or sensitive personal information that the skill can store and search locally.

Mitigation: Mine only approved folders, exclude sensitive archives, and avoid using the skill with data the user is not comfortable storing and searching locally.

Risk: The local MemPalace package receives access to private conversation history during initialization, mining, and MCP operation.

Mitigation: Pin and separately review the mempalace package before installation or deployment, especially in managed or commercial environments.

Risk: Stored memories and temporal facts can be reused in later sessions and may influence responses if stale or incorrect.

Mitigation: Use the documented delete and knowledge-graph invalidation workflows to remove outdated entries and replace changed facts.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/wanikua/skills/mempalace)
- [MemPalace project homepage](https://github.com/milla-jovovich/mempalace)

## Skill Output:

**Output Type(s):** [guidance, shell commands, configuration]

**Output Format:** [Markdown with inline shell and JSON configuration blocks]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Includes MCP tool usage guidance and local installation/setup steps.]

## Skill Version(s):

1.4.0 (source: server release evidence and SKILL.md frontmatter)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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