Claude-Mem OpenClaw Plugin

Persistent memory for AI agents is enabled by integrating with the Claude-Mem worker service to record observations and automatically synchronize context into a MEMORY.md file. This ensures agents retain conversation context and learn from past interactions across sessions.

Real-time streaming of agent activities to messaging channels is supported to provide a live observation feed of agent learning and actions. This delivers full transparency and monitoring capabilities for ongoing agent interactions.

Automatic context sync works by continuously updating a MEMORY.md file in the agent's workspace with a timeline of recorded observations. This file synchronization mechanism ensures that context summarization and historical actions are preserved without manual intervention.

The OpenClaw framework is required as this memory capability is deployed as a plugin within its architecture. Agents operate inside the OpenClaw environment, utilizing the Claude-Mem worker service to manage session initialization and context persistence.

Monitoring agent learning and actions over time is best handled through the real-time observation feed that streams activities to messaging channels. This provides continuous transparency into how agents acquire context and execute tasks during operations.

You can check the memory status of an OpenClaw agent using built-in commands provided by the plugin for status checks and feed management. These commands interface with the Claude-Mem worker service to report current session and synchronization states.