OpenClaw + Hermes + Claude: Local Agent OS Walkthrough

This walkthrough demonstrates integrating Claude, OpenClaw, and Hermes into a unified local agent operating system with a shared dashboard and Obsidian-based memory system. The setup enables multiple AI agents to collaborate through a centralized interface while maintaining persistent knowledge in Obsidian. This architecture creates a local, privacy-focused AI agent ecosystem without relying on external cloud services.

Key Points

• •Integrate Claude with OpenClaw and Hermes to create a multi-agent local OS
• •Use a shared dashboard as the central control interface for all agents
• •Implement Obsidian as a distributed memory system for persistent knowledge sharing
• •Maintain local-first architecture to ensure data privacy and offline capability
• •Configure agent communication protocols to enable inter-agent collaboration
• •Set up memory synchronization between agents through Obsidian vault
• •Create unified logging and monitoring across all agent activities
• •Design workflow automation that leverages multiple specialized agents

Workflow Diagram

Concepts