Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
LanceDB long-term memory plugin with BM25 + vector hybrid search (RRF or linear reranking).
LanceDB long-term memory plugin with BM25 + vector hybrid search (RRF or linear reranking).
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
This skill packages a drop-in OpenClaw memory plugin that adds hybrid search to LanceDB memory: Vector search (semantic) BM25 full-text search (exact terms) Configurable reranking: rrf (Reciprocal Rank Fusion, recommended) linear (weighted combination) It is based on (and credits) OpenClaw PR openclaw/openclaw#7636.
A local plugin (extension) located at: plugin/ β overrides the built-in plugin id memory-lancedb (adds hybrid search) Once enabled, it provides the same tools as the bundled LanceDB memory plugin: memory_store memory_recall memory_forget β¦but memory_recall/auto-recall/forget now use hybrid search when enabled.
Ensure the skill folder exists (ClawHub install puts it under your workspace): ~/.openclaw/workspace/skills/memory-lancedb-hybrid/plugin Install the plugin dependencies (once): cd ~/.openclaw/workspace/skills/memory-lancedb-hybrid/plugin npm install --omit=dev Add the plugin to OpenClawβs plugin load paths. This plugin keeps the id memory-lancedb, so it will override the bundled memory-lancedb extension when discovered via plugins.load.paths (higher precedence than bundled). Edit ~/.openclaw/openclaw.json: { plugins: { load: { // Point at the plugin directory inside this skill paths: ["~/.openclaw/workspace/skills/memory-lancedb-hybrid/plugin"] }, // Ensure the memory slot points at LanceDB memory slots: { memory: "memory-lancedb" }, // Configure LanceDB memory (this override adds the `hybrid` config block) entries: { "memory-lancedb": { enabled: true, config: { embedding: { apiKey: "${OPENAI_API_KEY}", model: "text-embedding-3-small" }, // Optional dbPath: "~/.openclaw/memory/lancedb", // Optional autoCapture: true, autoRecall: true, // Hybrid search options hybrid: { enabled: true, reranker: "rrf" // If using reranker: "linear", you can also set: // vectorWeight: 0.7, // textWeight: 0.3, } } } } } } Restart the Gateway. Hybrid search needs an FTS index on the text column; the plugin will attempt to create it automatically. If FTS setup fails for any reason, the plugin logs a debug message and falls back to vector-only search.
All config lives under plugins.entries.memory-lancedb.config. hybrid.enabled (boolean, default true) hybrid.reranker (rrf | linear, default rrf) hybrid.vectorWeight (number 0β1, default 0.7, only used for linear) hybrid.textWeight (number 0β1, default 0.3, only used for linear)
This plugin does not modify OpenClawβs install on disk; it overrides the bundled memory-lancedb at runtime (remove plugins.load.paths to revert). If you already have LanceDB memory data on disk, you can keep using the same dbPath. If you see no hybrid effect, make sure hybrid.enabled is true and that the FTS index was created (check Gateway logs).
plugin/index.ts β plugin implementation (hybrid search) plugin/config.ts β config parsing + UI hints plugin/openclaw.plugin.json β manifest + JSON Schema (used for strict config validation)
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