memory-lancedb-hybridLanceDB long-term memory plugin with BM25 + vector hybrid search (RRF or linear reranking).
Install via ClawdBot CLI:
clawdbot install joeykrug/memory-lancedb-hybridGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
${OPENAICalls external URL not in known-safe list
https://registry.npmjs.org/@lancedb/lancedb/-/lancedb-0.24.1.tgzAI Analysis
The skill is a legitimate memory plugin enhancement that uses only declared, standard dependencies (LanceDB, OpenAI embeddings). The credential access is for the user's own OpenAI API key, required for the stated embedding functionality, and no hidden data exfiltration or obfuscation is present.
Audited Apr 16, 2026 · audit v1.0
Generated Feb 24, 2026
Law firms can use hybrid search to quickly find relevant case law and contracts by combining semantic understanding of legal concepts with exact keyword matching for specific clauses or citations. This improves accuracy in legal research and reduces time spent on manual document review.
Support teams can enhance chatbots by enabling hybrid search to retrieve past ticket resolutions, blending semantic context of user issues with precise term matching for error codes or product names. This leads to faster, more accurate responses and improved customer satisfaction.
Researchers and students can leverage hybrid search to sift through academic papers, combining vector-based semantic similarity for topics with BM25 for exact author names or publication dates. This streamlines literature reviews and supports comprehensive data collection.
Medical institutions can implement hybrid search to access patient records, using semantic search for symptom descriptions and exact term matching for diagnostic codes or medication names. This aids in clinical decision-making and ensures precise data retrieval.
Online retailers can integrate hybrid search into their platforms to help customers find products by blending semantic understanding of user intent with keyword matching for brand names or specifications. This enhances search relevance and boosts conversion rates.
Offer the hybrid search plugin as a premium add-on for OpenClaw users, charging a monthly fee for enhanced memory capabilities. This model targets businesses needing advanced AI memory features, generating recurring revenue through tiered pricing based on usage or data volume.
Provide professional services to help organizations customize and deploy the hybrid search plugin within their OpenClaw setups. This includes configuration, training, and ongoing support, with revenue coming from project-based fees or retainer agreements.
Distribute the basic plugin for free to attract users, then monetize through paid upgrades for advanced features like custom reranking algorithms, priority support, or enterprise-scale data handling. This model encourages adoption while driving revenue from power users.
💬 Integration Tip
Ensure the FTS index is properly created by checking Gateway logs after enabling hybrid search to avoid fallback to vector-only mode.
Scored Apr 19, 2026
Search and analyze your own session logs (older/parent conversations) using jq.
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
Enable and configure Moltbot/Clawdbot memory search for persistent context. Use when setting up memory, fixing "goldfish brain," or helping users configure memorySearch in their config. Covers MEMORY.md, daily logs, and vector search setup.
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready.
Local memory management for agents. Compression detection, auto-snapshots, and semantic search. Use when agents need to detect compression risk before memory loss, save context snapshots, search historical memories, or track memory usage patterns. Never lose context again.
Audit, clean, and optimize Clawdbot's vector memory (LanceDB). Use when memory is bloated with junk, token usage is high from irrelevant auto-recalls, or setting up memory maintenance automation.