memory-lancedb-pro
A LanceDB-backed OpenClaw memory plugin that gives AI agents persistent long-term memory with hybrid retrieval, cross-encoder reranking, and multi-scope isolation.
At a Glance
Fully free and open-source under MIT license. All features included.
Engagement
Available On
Alternatives
Listed May 2026
About memory-lancedb-pro
memory-lancedb-pro is a production-grade long-term memory plugin for OpenClaw agents, backed by LanceDB vector storage. It automatically captures preferences, decisions, and project context from conversations, then intelligently recalls them in future sessions — eliminating the "AI amnesia" problem where agents forget everything between chats. The plugin features LLM-powered smart extraction, Weibull decay-based memory lifecycle management, and a full CLI for backup, migration, and export.
- Hybrid Retrieval — combines vector (ANN cosine) and BM25 full-text search with configurable weights, fused scoring, and cross-encoder reranking for high-quality recall
- Smart Memory Extraction — LLM-powered 6-category classification (profile, preferences, entities, events, cases, patterns) with L0/L1/L2 layered storage and two-stage deduplication
- Weibull Decay Engine — composite lifecycle scoring using recency, access frequency, and intrinsic importance; three-tier promotion system (Peripheral ↔ Working ↔ Core)
- Auto-Capture & Auto-Recall — automatically extracts memories at conversation end and injects relevant context before each agent reply via
before_prompt_buildhooks - Multi-Scope Isolation — per-agent, per-user, per-project, and global memory boundaries with configurable agent-level access control
- Any Embedding Provider — works with OpenAI, Jina, Gemini, Voyage, Ollama, or any OpenAI-compatible embedding API
- Cross-Encoder Reranking — built-in adapters for Jina, SiliconFlow, Voyage AI, and Pinecone; graceful fallback to cosine similarity on API failure
- Noise Filtering & Adaptive Retrieval — skips retrieval for greetings and simple commands; forces retrieval for memory keywords; CJK-aware thresholds
- Full Management CLI —
openclaw memory-pro list/search/stats/delete/export/import/reembed/upgrade/migratecommands for production operations - Install via OpenClaw CLI — run
openclaw plugins install memory-lancedb-pro@beta, configureopenclaw.json, then validate withopenclaw config validate && openclaw gateway restart
Community Discussions
Be the first to start a conversation about memory-lancedb-pro
Share your experience with memory-lancedb-pro, ask questions, or help others learn from your insights.
Pricing
Open Source
Fully free and open-source under MIT license. All features included.
- Hybrid vector + BM25 retrieval
- LLM-powered smart extraction
- Cross-encoder reranking
- Multi-scope isolation
- Auto-capture and auto-recall
Capabilities
Key Features
- Hybrid vector + BM25 full-text retrieval
- LLM-powered 6-category smart memory extraction
- Weibull decay-based memory lifecycle management
- Three-tier memory promotion (Peripheral/Working/Core)
- Auto-capture from conversations
- Auto-recall context injection before agent replies
- Cross-encoder reranking (Jina, SiliconFlow, Voyage, Pinecone)
- Multi-scope isolation (global, agent, user, project)
- Any OpenAI-compatible embedding provider support
- MMR diversity filtering
- Noise filtering and adaptive retrieval
- Full management CLI (list, search, export, import, migrate)
- Session memory support
- L0/L1/L2 layered memory storage
- Two-stage deduplication (vector similarity + LLM semantic)
Integrations
Demo Video
