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from obsidian-openclaw-memory52
Guides setup of Obsidian integrated with OpenClaw to create a persistent, searchable AI memory system with QMD semantic search and heartbeat maintenance.
This skill teaches how to integrate Obsidian with OpenClaw so an AI assistant can read, index, and maintain persistent memory across sessions. It explains file structure, daily logs, and using QMD for semantic search so the agent finds relevant context without loading everything.
Use this when you want the assistant to retain context between sessions, build a knowledge graph of notes, and run periodic memory maintenance (heartbeat) to distill daily logs into curated long-term memory. Useful during workspace onboarding or when adding rich, searchable documentation to an AI-driven workflow.
Designed for OpenClaw-hosted assistants and tooling that can run local Python/bash commands and QMD; broadly compatible with Claude Code / assistant agents that read workspace files and run local scripts.
This skill has not been reviewed by our automated audit pipeline yet.
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