Mempalace Bwm

MemPalace — Local AI memory with 96.6% recall. Semantic search, temporal knowledge graph, palace architecture (wings/rooms/drawers). Free, no cloud, no API k...

This skill is plausibly what it claims (a local memory store) but check a few things before installing: 1) Verify the mempalace package source (PyPI or GitHub release) and review that package's code/release artifacts; 'uv' in the install spec is ambiguous — prefer an explicit pip or GitHub install command. 2) The included wrapper expects a virtualenv at $HOME/mempalace/.venv; confirm whether installation creates that, or modify the wrapper to use your chosen Python environment (or the python3 -m mempalace.mcp_server command suggested in SKILL.md). 3) Be aware that the skill stores verbatim conversation history and diary entries locally and instructs the agent to read that data automatically — if you handle sensitive information, review retention, encryption, and deletion policies before enabling. 4) On Windows, the provided shell script (zsh) is not compatible; ensure platform-appropriate launch configuration. 5) If you need higher assurance, run the package and MCP server in an isolated environment (container or dedicated VM), inspect the installed package files, and confirm no unexpected network connections are made. If the publisher/source cannot be verified or the install steps remain unclear, avoid installing until those gaps are resolved.

Type: OpenClaw Skill Name: mempalace-bwm Version: 1.0.0 The MemPalace skill bundle provides a comprehensive set of tools for local AI memory management, including semantic search and a temporal knowledge graph. The code and instructions in SKILL.md and mempalace-mcp.sh are consistent with the stated purpose of maintaining a local, privacy-focused memory system using ChromaDB, with no evidence of data exfiltration, malicious execution, or harmful prompt injection.