Local semantic memory with Qdrant and Transformers.js. Store, search, and recall conversation context using vector embeddings (fully local, no API keys).
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Use when you need your OpenClaw agent to remember and recall information across conversations using semantic search.
Local semantic memory plugin powered by Qdrant vector database and Transformers.js embeddings. Zero configuration, fully local, no API keys required.
clawhub install memory-qdrant
First-time setup: This plugin downloads a 25MB embedding model from Hugging Face on first run and may require build tools for native dependencies (sharp, onnxruntime). See README for detailed installation requirements.
Enable in your OpenClaw config:
{ "plugins": { "memory-qdrant": { "enabled": true } } }
Options:
autoCaptureautoRecallqdrantUrlThree tools available:
memory_store - Save information
memory_store({ text: "User prefers Opus for complex tasks", category: "preference" })
memory_search - Find relevant memories
memory_search({ query: "workflow preferences", limit: 5 })
memory_forget - Delete memories
memory_forget({ memoryId: "uuid" }) // or memory_forget({ query: "text to forget" })
No automatic installation available. Please visit the source repository for installation instructions.
View Installation Instructions
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