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Provides automatic long-term memory capture and recall for OpenClaw agents: auto-capture, auto-recall, and memory management tools for more context-aware conver
OpenViking Memory integrates a context database with OpenClaw agents to automatically capture, persist, and recall important conversational facts. It supports both semantic and keyword capture modes, automatic recall before prompt building, and manual tools for storing, searching, and deleting memories. Typical use cases: preserving user preferences, surfacing past decisions, and injecting relevant facts into future responses to improve continuity and personalization.
Use this skill when you need an agent to remember information across sessions or turns — e.g., user preferences, persistent profile details, or multi-turn project context. Enable auto-capture to extract facts automatically, or use manual store/forget tools for explicit control.
Works with OpenClaw agents and agent runtimes that support plugin-style context slots (OpenClaw gateway). It is suitable for production and local test instances that need a persistent context store.
This skill has not been reviewed by our automated audit pipeline yet.
