Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
White Stone Memory
记忆系统 - 包含常识记忆、项目记忆、错题本和每日回顾。按需加载，避免记忆污染。
skill openclawclawhub Free
记忆系统 - 包含常识记忆、项目记忆、错题本和每日回顾。按需加载，避免记忆污染。
⬇ 0 downloads ★ 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
- README.md, SKILL.md, _meta.json
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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.1.0
Provenance
- Publisher
- russellfei
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
White Stone Memory / 白石记忆系统
Your personal memory system with 5 categories, loaded on demand.
1. Knowledge / 常识记忆
Path: memory/knowledge/common.md Content: Work habits, logical thinking, product sense / 工作习惯、逻辑思维、产品意识 Loading: Auto-loaded on agent startup / Agent启动时自动读取
2. Projects / 项目记忆
Path: memory/projects/[project_name].md Loading: Only when user explicitly mentions a project / 用户明确提及项目时加载 Do NOT load: Agents must not proactively read project memory to avoid pollution / 避免污染
3. Error Log / 错题本
Path: memory/errors/ Content: Past mistakes, lessons learned / 使用错误、经验总结 Loading: Auto-loaded by all Agents and Sub-Agents on startup / 所有Agent启动时加载
4. Daily Review / 每日回顾
Path: memory/diary/[date].md Timing: Auto-created daily / 每天自动创建 Content: Work summary, insights to distill / 工作总结、待提炼内容
5. Tasks / 子任务追踪
Path: memory/tasks/[task_name].md Content: Subagent task specs, config, progress / 任务规格、配置、进度 Loading: On demand when managing subagents / 管理 subagent 时按需加载
目录结构
~/.openclaw/workspace/memory/ ├── knowledge/ # 常识记忆 (启动加载) │ ├── common.md │ └── reflection-log.md ├── projects/ # 项目记忆 (按需加载) │ └── [项目名].md ├── errors/ # 错题本 (全局加载) │ └── [类别].md ├── diary/ # 每日回顾 (日期命名) │ └── YYYY-MM-DD.md └── tasks/ # 子任务追踪 (subagent 任务) └── [任务名].md
Rules / 重要规则
No proactive project reads — Only load project memory when user explicitly asks / 不主动读取项目记忆 Error log is global — All Agents must load on startup / 错题本全局共享 Knowledge loads at startup — Auto-read on agent init / 常识记忆启动加载 Daily review is scheduled — Created daily, can be updated manually / 每日回顾定时创建 Bilingual logging — ALL memory entries must be written in bilingual format (English + Chinese). Titles use EN / 中文, details include both languages. This applies regardless of which language the original context was in. / 所有记忆条目必须双语记录
初始化
首次使用需要创建目录结构： mkdir -p memory/knowledge memory/projects memory/errors memory/daily
常识记忆
# 读取 cat memory/knowledge/common.md # 编辑 vim memory/knowledge/common.md
项目记忆
# 加载项目记忆（用户明确要求时） cat memory/projects/[项目名].md
错题本
# 读取错题本 cat memory/errors/*.md # 添加新错误 echo "## 新错误\n- 问题：...\n- 原因：...\n- 解决方案：..." >> memory/errors/general.md
每日回顾
# 创建今日回顾 echo "# $(date +%Y-%m-%d) 回顾" > memory/daily/$(date +%Y-%m-%d).md
概述
在现有关键词搜索基础上，增加向量语义搜索能力。
开启方式
在配置文件中启用： memory: vector_search: enabled: true
启用后的提示
⚠️ 开启向量搜索需要配置以下之一： 选项说明A. Gemini API提供 GEMINI_API_KEY 环境变量B. 本地 Ollama确保运行 ollama run qwen3-embedding-0.6B
配置检查
# 检查 Ollama 是否运行 curl -s localhost:11434/api/tags
技术选型
组件推荐EmbeddingGemini API 或 Ollama + qwen3-embedding-0.6B向量库FAISS 或 LanceDB索引HNSW (O(log n))
命令
/memory build-index # 构建索引 /memory search "xxx" # 搜索 /memory index-status # 查看状态
注意
默认关闭向量搜索 启用后需配置 Gemini API Key 或本地 Ollama 新增/修改文件后需重新索引
更新日志
2026-02-28: 新增向量搜索功能设计
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Config
- SKILL.md
- README.md
- _meta.json