Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Openclaw Semantic Memory
Local semantic memory with vector search and Transformers.js. Store, search, and recall conversation context using embeddings (fully local, no API keys).
skill openclawclawhub Free
Local semantic memory with vector search and Transformers.js. Store, search, and recall conversation context using embeddings (fully local, no API keys).
โฌ 0 downloads โ
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- CHANGELOG.md, index.js, openclaw.plugin.json, package-lock.json, package.json, README.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- zuiho-kai
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
semantic-memory
Use when you need your OpenClaw agent to remember and recall information across conversations using semantic search. โ ๏ธ Privacy Notice: The optional autoCapture feature (disabled by default) can capture PII like emails and phone numbers if you enable allowPIICapture. Only enable if you understand the privacy implications. Local semantic memory plugin powered by vector search and Transformers.js embeddings. Zero configuration, fully local, no API keys required.
Features
Semantic search with local Transformers.js embeddings In-memory mode (zero config) or persistent Qdrant storage Optional auto-capture of conversation context (opt-in, disabled by default) Context-aware memory recall Fully local, no API keys or external services required
Installation
clawhub install semantic-memory 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.
Configuration
Enable in your OpenClaw config: { "plugins": { "semantic-memory": { "enabled": true } } } Options: persistToDisk (default: true) - Save memories to disk in memory mode. Data stored in ~/.openclaw-memory/ survives restarts. Set to false for volatile memory. storagePath (optional) - Custom storage directory. Leave empty for default ~/.openclaw-memory/. autoCapture (default: false) - Auto-record conversations. Privacy protection enabled by default: text containing PII (emails, phone numbers) is automatically skipped. allowPIICapture (default: false) - Allow capturing PII when autoCapture is enabled. Only enable if you understand the privacy implications. autoRecall (default: true) - Auto-inject relevant memories qdrantUrl (optional) - External Qdrant server (leave empty for in-memory)
Usage
Three 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" })
Privacy & Security
Disk persistence (default): Memories saved to ~/.openclaw-memory/ and survive restarts. Set persistToDisk: false for volatile memory. In-memory mode: When persistToDisk: false, data cleared on restart Qdrant mode: Data sent to configured server (use trusted servers only) Network: Downloads ~25MB model from Hugging Face on first run PII Protection: By default, autoCapture skips text containing emails or phone numbers. Set allowPIICapture: true only if you understand the privacy implications. autoCapture: Disabled by default for privacy. When enabled, only captures text matching semantic triggers (preferences, decisions, facts) and skips PII unless explicitly allowed.
Technical Details
Vector DB: Qdrant (in-memory or external) Embeddings: Xenova/all-MiniLM-L6-v2 (local) Module: ES6 with factory function pattern
Links
GitHub: https://github.com/zuiho-kai/openclaw-semantic-memory Issues: https://github.com/zuiho-kai/openclaw-semantic-memory/issues
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Config2 Docs1 Scripts
- CHANGELOG.md
- README.md
- index.js
- openclaw.plugin.json
- package-lock.json
- package.json