obsidian-openclaw-memory

To set up an AI memory system with Obsidian and OpenClaw, run the setup_memory_system script which configures your workspace using YAML for configuration and Markdown for content to enable context retention across sessions.

Knowledge graph visualization in Obsidian works by mapping connections between Markdown files and concepts, allowing the AI memory system to visually represent stored context and relationships for proactive maintenance using HEARTBEAT.md.

Yes, you need both Obsidian and OpenClaw installed to configure an AI memory system, as the setup requires these dependencies to create the file structure and drive proactive AI behavior for context retention.

The best way to retain AI context across sessions using Markdown is to configure Obsidian and OpenClaw, which stores and retrieves session context while using a HEARTBEAT.md file to drive proactive memory maintenance.

Yes, you can use YAML configuration to maintain long-term AI memory in Obsidian, as the setup script pairs YAML settings with Markdown content to structure the file system and update long-term memory proactively.

You should use a HEARTBEAT.md file for proactive AI behavior when your OpenClaw and Obsidian memory system needs to autonomously update long-term context and maintain knowledge graph connections across different sessions.