whereismyai
Memory LanceDB Pro
Memory LanceDB Pro is a memory plugin for OpenClaw that enables hybrid retrieval, cross-encoder reranking, multi-scope isolation, and memory management.
Memory LanceDB Pro is a plugin designed to enhance the memory capabilities of the OpenClaw AI platform. It facilitates intelligent memory extraction, allowing the system to filter and retain relevant information while discarding unnecessary data. The tool utilizes hybrid retrieval techniques, combining vector search with BM25 keyword matching for accurate results. It includes cross-encoder reranking to improve the relevance of retrieved memories. Additionally, users can utilize a dedicated command-line interface for memory management and multi-scope isolation.
Memory LanceDB Pro at a glance
- Best for: Software engineer
- Runs on: CLI
- Pricing: Free
- Released: February 2026
- Category: AI agent tool
- Website: youtu.be
Key features
- Hybrid retrieval combining vector and BM25 search
- Cross-encoder reranking for improved accuracy
- Intelligent memory extraction functionality
- Multi-scope memory isolation
- Integrated management command-line interface
- Automated installation and configuration
Use it for
- Managing AI memory storage
- Filtering irrelevant data from AI memory
- Retrieving specific information using hybrid search
- Configuring AI memory scopes
Companions
Tools that articles about Memory LanceDB Pro recommend using with it, each with its job.
- OpenClaw — Built to work with OpenClaw.
- Composio — Equips AI agents with tools, managed user auth, and sandboxes across 1,500+ apps
- Supermemory — Integrates long-term memory into AI coding agents with a single prompt.
- memU — Hierarchical knowledge graph for proactive behaviour.
- MemOS — Shared memory across agents, also available as a cloud service.
Alternatives to Memory LanceDB Pro
- Lance Format — Provides 100x faster random access than Parquet or Iceberg for AI workloads.
- OpenViking — Unifies agent memory, knowledge RAG, and skills into a single directory structure.
- Tigerless Agent Memory — Maintains agent history in portable, greppable Markdown files without API keys.
- Engram — Single Go binary with zero dependencies and built-in full-text search.
- Cognee — Persistent memory for AI agents using graph, vector, and relational retrieval.
- MemPalace — Achieves high recall with local-first storage and zero API calls.
- IAI Memory Engine — Provides persistent, local, and encrypted memory for AI agents without APIs.
- ThreadShelf — It keeps conversation archives and search completely local using LanceDB and embeddings.
- TencentDB Agent Memory — It unifies cross-agent memory assets, skill libraries, wikis, and code graphs.
- Mnemosyne — It provides sub-millisecond memory access with no external service costs.
- Memori — Reduces LLM token usage and spend by over 97% with targeted recall.
- EverOS — It enables agents to learn from experience and improves over time without manual coding.
All Memory LanceDB Pro alternatives