modbender OpenClaw Memory System
Persistent memory across sessions with semantic search and x402 payments.
What is it?
The first OpenClaw skill that gives your agents persistent memory - they remember facts, preferences, patterns, and conversation history across all sessions. Never repeat context again.
Key Features
- 🧠 Persistent Memory - Remembers everything across sessions
- 🔍 Semantic Search - Find memories by meaning, not just keywords
- 🤖 Automatic Learning - Extracts facts and preferences automatically
- 💾 Local Storage - SQLite database with vector embeddings
- 💰 x402 Payments - Agents can pay for unlimited storage (0.5 USDT/month)
Free vs Pro Tier
Free Tier:
- 100 memories maximum
- 7-day retention
- Basic semantic search
Pro Tier (0.5 USDT/month):
- Unlimited memories
- Permanent retention
- Advanced semantic search
- Memory relationship mapping
Installation
claw skill install openclaw-memory
Commands
# Search memories
claw memory search "What does user prefer?"
# List recent memories
claw memory list --limit=10
# Show stats
claw memory stats
# Open dashboard
claw memory dashboard
# Subscribe to Pro
claw memory subscribe
How It Works
- Hooks into requests - Automatically extracts important information
- Generates embeddings - Creates semantic vectors for search
- Stores locally - SQLite database with full privacy
- Retrieves on demand - Injects relevant memories before requests
- Manages quota - Prunes old memories when limits reached (Free tier)
Use Cases
- Remember user preferences and coding style
- Store project context and requirements
- Learn patterns from repeated interactions
- Maintain conversation history across sessions
- Build knowledge base over time
Agent Economy
Agents can autonomously evaluate if Pro tier is worth it:
- Cost: 0.5 USDT/month
- Value: Saves tokens by eliminating context repetition
- ROI: If persistent memory saves >0.5 USDT/month in tokens, it pays for itself
See AGENT-PAYMENTS.md for x402 integration details.
Privacy
- All data stored locally in
~/.openclaw/openclaw-memory/ - No external servers or telemetry
- Embeddings can use local models (no API calls)
- Open source - audit the code yourself
Dashboard
Access web UI at http://localhost:9091:
- Browse and search memories
- View memory timeline
- Check quota and stats
- Manage Pro subscription
Foundation for Future Tools
Memory System is the foundation for:
- Context Optimizer - Uses memories to compress context
- Smart Router - Learns routing patterns
- Rate Limit Manager - Tracks usage patterns
Requirements
- Node.js 18+
- OpenClaw v2026.1.30+
- OS: Windows, macOS, Linux
Links
- Documentation
- Agent Payments Guide
- GitHub Repository
- ClawHub Page
Built by the OpenClaw community | First memory system with x402 payments