Add Memory To OpenClaw: The Complete Mem0 Integration Guide (2026)

OpenClaw’s default memory system uses Markdown files and model-directed tools, meaning the LLM decides whether to save information and whether to retrieve it later, which can produce unreliable recall across long conversations, context compaction, restarts, and communication channels. The @mem0/openclaw-mem0 plugin is presented as an alternative that stores memories outside the active agent session, automatically captures relevant information after responses, and retrieves relevant user and session memories before each response. Long-term memories are associated with a user across sessions and channels, while session memories apply to a specific conversation. Users can activate the cloud-based platform mode through an in-chat setup and email verification process, or configure an open-source, self-hosted mode with selected embedding, vector-store, and LLM providers. The plugin also provides tools and CLI commands for searching, adding, viewing, updating, and deleting memories, along with settings for recall limits, similarity thresholds, categories, and extraction instructions. Context compaction remains separate from the plugin, while automatic recall is intended to restore relevant stored facts even after earlier messages are trimmed from the conversation window.

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