#134 Hermes×OpenClaw×Claudeで「記憶するAgent OS」

This video explores building a memory-enabled Agent OS by combining three technologies: Claude (reasoning), OpenClaw (operation/control), and Hermes (memory management). The architecture creates an autonomous system where Claude handles cognitive tasks, OpenClaw manages external operations, and Hermes maintains persistent memory across agent interactions. This integration enables agents to learn from past experiences and maintain context over extended periods.

Key Points

• •Claude serves as the reasoning engine, handling complex decision-making and cognitive tasks for the agent
• •OpenClaw provides the operational layer, enabling the agent to execute actions and control external systems
• •Hermes functions as the memory subsystem, storing and retrieving information for persistent agent learning
• •Memory persistence allows agents to maintain context across multiple sessions and interactions
• •The three-component architecture separates concerns: thinking (Claude), doing (OpenClaw), and remembering (Hermes)
• •Integration enables autonomous agents to improve decision-making based on historical experiences
• •The system supports long-term agent autonomy without constant human intervention
• •Memory management is critical for scaling agent capabilities and maintaining coherent behavior over time

Workflow Diagram

Concepts