Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Mem0
Intelligent memory layer for Clawdbot using Mem0. Provides semantic search and automatic storage of user preferences, patterns, and context across conversati...
skill openclawclawhub Free
Intelligent memory layer for Clawdbot using Mem0. Provides semantic search and automatic storage of user preferences, patterns, and context across conversati...
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
- SKILL.md, package-lock.json, package.json, references/integration-patterns.md, scripts/mem0-add.js, scripts/mem0-config.js
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. 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. 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
- abhayjb
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Mem0 Memory Integration
Mem0 adds an intelligent, adaptive memory layer to Clawdbot that automatically learns and recalls user preferences, patterns, and context across all interactions.
1. Search Before Responding
Before answering user questions, search mem0 for relevant context: node scripts/mem0-search.js "user preferences" --limit=3 Use retrieved memories to: Personalize responses Remember preferences Recall past patterns Adapt communication style
2. Store After Interactions
Explicit Storage (when user says "remember this"): node scripts/mem0-add.js "Abhay prefers concise updates" Conversation Storage (for context learning): # Pass messages as JSON node scripts/mem0-add.js --messages='[{"role":"user","content":"I like brief updates"},{"role":"assistant","content":"Got it!"}]'
Search Memories
node scripts/mem0-search.js "query text" [--limit=3] [--user=abhay] Searches semantically across stored memories. Returns relevant memories ranked by relevance.
Add Memory
# Simple text node scripts/mem0-add.js "memory text" [--user=abhay] # Conversation messages (auto-extracts memories) node scripts/mem0-add.js --messages='[{...}]' [--user=abhay] Mem0's LLM automatically extracts, deduplicates, and merges related memories.
List All Memories
node scripts/mem0-list.js [--user=abhay] Shows all stored memories for the user with IDs and creation dates.
Delete Memories
# Delete specific memory node scripts/mem0-delete.js <memory_id> # Delete all memories for user node scripts/mem0-delete.js --all --user=abhay
โ Store These:
Explicit requests: "Remember that I..." Preferences: Communication style, format choices Personal context: Work info, interests, family (non-sensitive) Usage patterns: Frequent requests, timing preferences Corrections: When user corrects your mistakes Adaptive facts: Current projects, recent interests
โ Don't Store:
Secrets, passwords, API keys Temporary context (unless explicitly requested) System errors or debug info Information already in MEMORY.md (avoid duplication)
Complementing Clawdbot Memory
Clawdbot MEMORY.md (Structured, Deliberate): Permanent facts: Name = Abhay, Location = Singapore Reference data: Email, blog URL, Twitter handle Structured knowledge: Project details, credentials Mem0 (Dynamic, Learned): Preferences: "Abhay prefers concise updates" Patterns: "Usually asks for bus info at 8:30am" Adaptive context: "Currently interested in AI news" Behavioral: "Likes direct answers, minimal fluff" Use both together: Check MEMORY.md for facts, check mem0 for preferences/patterns.
Performance Benefits
+26% accuracy over OpenAI Memory (LOCOMO benchmark) 91% faster than full-context retrieval 90% fewer tokens than including all conversation history Sub-50ms semantic search retrieval
Configuration
Located in scripts/mem0-config.js: { embedder: "openai/text-embedding-3-small", llm: "openai/gpt-4o-mini", vectorStore: "memory" (local), historyDb: "~/.mem0/history.db", userId: "abhay" } Uses Clawdbot's OpenAI API key from environment (OPENAI_API_KEY).
Integration Patterns
For detailed workflow patterns, error handling, and best practices, see: references/integration-patterns.md
Programmatic Use
All scripts support JSON_OUTPUT environment variable for programmatic access: JSON_OUTPUT=1 node scripts/mem0-search.js "query" Returns JSON after human-readable output (look for ---JSON--- marker).
scripts/
mem0-config.js - Configuration and instance initialization mem0-search.js - Search memories semantically mem0-add.js - Add new memories mem0-list.js - List all memories mem0-delete.js - Delete memories
references/
integration-patterns.md - Detailed best practices and patterns
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
2 Docs2 Scripts2 Config
- SKILL.md
- references/integration-patterns.md
- scripts/mem0-add.js
- scripts/mem0-config.js
- package-lock.json
- package.json