Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Persistent, locally stored semantic memory for agents with automatic learning, searchable facts, and optional paid unlimited retention across all sessions.
Persistent, locally stored semantic memory for agents with automatic learning, searchable facts, and optional paid unlimited retention across all sessions.
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.
Persistent memory across sessions with semantic search and x402 payments.
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.
๐ง Persistent Memory - Remembers everything across sessions ๐ Semantic Search - Find memories by meaning, not just keywords ๐ค Automatic Learning - Extracts facts and preferences automatically ๐พ Local Storage - SQLite database with vector embeddings ๐ฐ x402 Payments - Agents can pay for unlimited storage (0.5 USDT/month)
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
claw skill install openclaw-memory
# 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
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)
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
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.
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
Access web UI at http://localhost:9091: Browse and search memories View memory timeline Check quota and stats Manage Pro subscription
Memory System is the foundation for: Context Optimizer - Uses memories to compress context Smart Router - Learns routing patterns Rate Limit Manager - Tracks usage patterns
Node.js 18+ OpenClaw v2026.1.30+ OS: Windows, macOS, Linux
Documentation Agent Payments Guide GitHub Repository ClawHub Page Built by the OpenClaw community | First memory system with x402 payments
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.