Rag Memory
Vector memory search and RAG skill for OpenClaw. Provides vector_search tool backed by Qdrant, auto-syncs memory .md files and Postgres records via nomic-emb...
Rookie-Memory 三级记忆管理系统 v2.0。专为 AI 代理设计的进化版记忆系统,包含 L0 永久记忆、L1 短期记忆、L2 中期记忆,支持 bootstrap 启动加载、autosave 自动保存、混合检索、自动清理等高级功能。
This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.
Install skill "Rookie Memory" with this command: npx skills add rookie-memory
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Related by shared tags or category signals.
Vector memory search and RAG skill for OpenClaw. Provides vector_search tool backed by Qdrant, auto-syncs memory .md files and Postgres records via nomic-emb...
Automates Sovereign Local Vector Memory and Gemma-300M Embeddings. Manage local vector embeddings, model configuration, and memory health monitoring without...
Self-hosted RAG engine with hybrid semantic and keyword search, document ingestion, local privacy, and seamless OpenClaw integration via Docker.
Local-first memory retrieval for Agent/OpenClaw workspaces. Use when the user asks about prior work, decisions, dates, preferences, root causes, todo history...