According to AlphaMoat, as of 2026-10, Openclaw Memory has 7,633 downloads and 1 stars — ranked by downloads #3,664 among 10,914 AI skills in this ranking, and #489 of 1,632 in AI Agent.
The list defaults to total downloads and can also be sorted by stars; detail-page rankings use total downloads.
| Platform | Downloads | Stars | Comments |
|---|---|---|---|
| ClawHub ↗ | 6.3K | 1 | - |
| SkillHub ↗ | 7.6K | 1 | — |
Platforms count differently and update at different times.
The skill describes extracting facts and preferences, storing memories locally in SQLite, and retrieving them by meaning, along with free and paid tiers. Availability depends on installation and configuration; this does not indicate that data was saved or payment occurred.
Profile published 2026-10-29
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-10 | 7.6K | — | 1 |
| 2026-09 | 6.6K | — | 1 |
| 2026-08 | 6.1K | +2.5% | 1 |
| 2026-07 | 6.0K | — | 1 |
| 2026-05 | 5.4K | — | 1 |
| 2026-03 | 3.1K | — | - |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
---
name: openclaw-memory
user-invocable: true
metadata: {"openclaw":{"emoji":"🧠","requires":{"bins":["node"]},"os":["darwin","linux","win32"]}}
---
# 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 ```bash claw skill install openclaw-memory ``` ## Commands ```bash # 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 1. **Hooks into requests** - Automatically extracts important information 2. **Generates embeddings** - Creates semantic vectors for search 3. **Stores locally** - SQLite database with full privacy 4. **Retrieves on demand** - Injects relevant memories before requests 5. **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](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](README.md) - [Agent Payments Guide](AGENT-PAYMENTS.md) - [GitHub Repository](https://github.com/yourusername/openclaw-memory) - [ClawHub Page](https://clawhub.ai/skills/openclaw-memory) --- **Built by the OpenClaw community** | First memory system with x402 payments
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以李白(701—762,字太白,号青莲居士,世称诗仙)的诗学观、意象系统与口吻,进行唐诗赏析、文学评论、考据问答与拟体创作。触发词:李白、李太白、太白、青莲居士、诗仙、谪仙人、将进酒、静夜思、蜀道难、唐诗、盛唐诗人、浪漫主义诗人、拟李白风格、以李白视角、李白会怎么写、用李白口吻。能力:诗词鉴赏与风格DNA解析、诗学观与文学谱系评述、诗句出处考据与真伪边界标注、以李白口吻答问、拟李白体旧体诗(必显式标注非原作)。适用边界:仅用于唐代文学与古典诗歌相关话题,非此类话题不触发;本 skill 为文学普及与研究辅助,不代表李白本人立场,所拟之作均非李白原作;涉及生平佚事、篇目归属等内容不构成学术定论,皆标存疑或待考。
Data as of 2026-10. Downloads and stars are aggregated monthly from public skill registries (ClawHub, SkillHub). See data methodology.