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在 OpenClaw 中安装
/install knowmine
功能描述
Save and search personal notes, decisions, and insights with semantic search via MCP. Use this skill when users want to remember things across conversations,...
使用说明 (SKILL.md)
KnowMine — Personal Knowledge Base for AI Agents
Save notes, decisions, and insights. Search them later by meaning, not keywords.
KnowMine is a remote MCP server that gives your AI agent a personal knowledge base with semantic search. Your agent can save knowledge entries during conversations and retrieve them later using natural language queries. All data is stored per-user with full isolation.
Setup
1. Get your API key
Sign up at knowmine.ai, go to Settings → MCP, and copy your key.
2. Connect
Remote MCP server — no Docker or local install needed.
Server URL: https://knowmine.ai/api/mcp
Transport: Streamable HTTP
Auth header: Authorization: Bearer \x3CYOUR_KNOWMINE_API_KEY>
For OpenClaw:
npx clawhub@latest install knowmine
Tools (11)
Knowledge CRUD
| Tool | What it does |
|---|---|
add_knowledge |
Save a note, insight, dev log, article, or reflection. Auto-generates title and tags. |
search_my_knowledge |
Search your knowledge base by meaning. Supports type and tag filters. |
get_knowledge |
Get full content of one entry by ID. |
update_knowledge |
Edit title, content, type, or tags of an entry. |
delete_knowledge |
Remove an entry. |
get_related_knowledge |
Find entries related to a given entry by semantic similarity. |
list_folders |
List your folders and recent entries in each. |
Memory
| Tool | What it does |
|---|---|
save_memory |
Save a decision, lesson, insight, or preference from a conversation. |
recall_memory |
Search past memories by natural language. Filter by type. |
Analysis
| Tool | What it does |
|---|---|
get_soul |
Generate a user profile summary based on your knowledge. Exportable as a system prompt. |
get_insight |
Analyze your knowledge for patterns — frequent topics, recurring themes. |
Example Usage
Save a decision during work:
save_memory: "Chose PostgreSQL over MongoDB for the new project — need ACID transactions and our team knows SQL well"
Find it later in a new session:
recall_memory: "database decision for new project"
→ Returns the PostgreSQL decision with full context
Search across all knowledge:
search_my_knowledge: "deployment strategies"
→ Returns matching notes ranked by relevance, even if you never used the word "deployment" in the original entry
How It Works
- Search: pgvector semantic similarity on PostgreSQL (not keyword matching)
- Embeddings: OpenAI text-embedding-3-small, auto-generated on save
- Protocol: MCP over Streamable HTTP
- Auth: API key via Bearer token
- Data isolation: Each API key maps to one user account
- Network: All requests go to
knowmine.aionly (no third-party data sharing) - Rate limit: 60 requests/minute
Source Code
- GitHub: github.com/YIING99/knowmine
- Website: knowmine.ai
- Health check: knowmine.ai/api/mcp/health
Built by YIING99
安全使用建议
Before installing: 1) Confirm the metadata mismatch — ask the publisher why the registry listed no env vars but SKILL.md requires KNOWMINE_API_KEY. 2) Clarify the data flow for embeddings: does KnowMine send your content to OpenAI (or other third parties) to compute embeddings? If so, what is their privacy policy and can you opt out or use a self‑hosted embedding provider? 3) Verify the website and GitHub repo links, check the /api/mcp/health endpoint over HTTPS, and prefer testing with non‑sensitive dummy notes first. 4) Ensure the API key can be rotated/revoked and has limited scope; do not store secrets you wouldn’t want sent to a third party. 5) If you need a stricter privacy model, ask whether self‑hosting or an alternative that keeps embeddings local is available. If the publisher cannot clearly answer these points, treat the skill as higher risk.
功能分析
Type: OpenClaw Skill
Name: knowmine
Version: 1.2.0
The 'knowmine' skill is a remote Model Context Protocol (MCP) implementation for a personal knowledge base hosted at knowmine.ai. Its functionality is limited to standard CRUD operations for notes and semantic search (e.g., add_knowledge, search_my_knowledge, save_memory). While it requires network access and transmits user-provided data to a third-party service, this behavior is explicitly documented and aligned with its stated purpose as a cloud-based memory tool. No evidence of malicious intent, prompt injection, or unauthorized data exfiltration was found in SKILL.md or _meta.json.
能力评估
Purpose & Capability
The declared purpose (personal semantic notes via MCP) matches the runtime instructions and the single credential (KNOWMINE_API_KEY) the SKILL.md says is required. However the registry metadata earlier listed no required env vars while the SKILL.md demands KNOWMINE_API_KEY — this metadata mismatch is unexpected and should be clarified.
Instruction Scope
Instructions restrict network endpoints to knowmine.ai and describe the MCP API and tools, which is appropriate. But the SKILL.md also states 'Embeddings: OpenAI text-embedding-3-small' and elsewhere claims 'no third‑party data sharing' — these statements conflict: if embeddings are generated via OpenAI, user content may be forwarded to OpenAI, which is a third party. The skill gives no explicit guidance about what user data is sent to embedding providers or whether embeddings are computed entirely server-side under KnowMine's control.
Install Mechanism
This is an instruction-only skill with no install spec or shipped code, so there is nothing written to disk by the skill itself. SKILL.md suggests using 'npx clawhub@latest install knowmine' (an external install command) but no downloads or extracts are embedded in the skill — install risk is low from the skill bundle itself.
Credentials
SKILL.md requires a single service credential (KNOWMINE_API_KEY), which is proportional for a hosted personal-knowledge service. But the registry metadata omitted this requirement (incoherent). Also the mention of OpenAI embeddings raises the question whether an OpenAI key or other credentials are needed or whether KnowMine will forward user content to OpenAI on the backend — that data flow is not documented and could increase credential/privilege needs or privacy exposure.
Persistence & Privilege
The skill does not request always-on presence and uses default autonomous invocation settings. It does not declare modifications to other skills or system-wide settings. No elevated persistence privileges are requested in the provided metadata or instructions.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install knowmine - 安装完成后，直接呼叫该 Skill 的名称或使用
/knowmine触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.2.0
v1.2.0: Add permissions declaration, rewrite description for clarity, remove sensitive wording that triggered false positive moderation flag, add source code link
v1.1.0
v1.1.0: Added folder management, knowledge association discovery, AI-powered insights, improved semantic search with pgvector
v1.0.0
Initial release - AI Agent Personal Knowledge Base MCP Server
元数据
常见问题
KnowMine 是什么？
Save and search personal notes, decisions, and insights with semantic search via MCP. Use this skill when users want to remember things across conversations,... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 347 次。
如何安装 KnowMine？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install knowmine」即可一键安装，无需额外配置。
KnowMine 是免费的吗？
是的，KnowMine 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
KnowMine 支持哪些平台？
KnowMine 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 KnowMine？
由 YING99（@yiing99）开发并维护，当前版本 v1.2.0。
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