据 AlphaMoat 统计,截至 2026-10,Openclaw Memory 累计下载 7,633 次、获 1 个星标,按累计下载量在本次参与排名的 10,914 个 AI 技能中排名第 3,664 位,在「AI 智能体」分类(1,632 个)中排名第 489 位。
列表默认按累计下载量排序,也可按星标排序;详情页排名按累计下载量计算。
| 平台 | 累计下载 | 星标 | 评论 |
|---|---|---|---|
| ClawHub ↗ | 6,312 | 1 | - |
| SkillHub ↗ | 7,633 | 1 | — |
各平台的计数口径不同,统计时间不一致。
该技能介绍从对话中提取事实和偏好、将记忆存储在本地 SQLite 并按含义检索的方案,也描述了免费和付费层级。实际可用性取决于安装与配置;此处不表示数据已保存或付款已发生。
资料发布于 2026-10-29
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-10 | 7,633 | — | 1 |
| 2026-09 | 6,558 | — | 1 |
| 2026-08 | 6,128 | +2.5% | 1 |
| 2026-07 | 5,977 | — | 1 |
| 2026-05 | 5,365 | — | 1 |
| 2026-03 | 3,138 | — | - |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 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
把开发过程中的经验、错误与纠正记录为 Markdown 文件,供后续复用并晋升为工作区记忆。
用自然语言描述需求,在本地与远程技能市场里找技能并给出推荐的技能。
给 AI agent 用的浏览器自动化命令行技能。
把用户纠正与自我复盘沉淀成分层记忆、并按使用情况升降级的技能。
一份为 AI 代理规划主动跟进、工作记忆与复盘流程的工作区配置指南。
指导如何创建与更新有效 Claude 技能的写作指南。
在安装第三方技能之前,按清单审查来源、权限与危险模式的技能。
把盛唐诗人李白的诗学观、意象系统与口吻,蒸馏成 AI 可调用的角色包。
数据月份:2026-10 · 下载/星标数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。