- name
- knowmine
- description
- Save and search personal notes, decisions, and insights with semantic search via MCP. Use this skill when users want to remember things across conversations, search their past knowledge by meaning, save dev logs or learning notes, or carry context between AI platforms like Claude and ChatGPT.
- version
- 1.2.0
- tags
- permissions
- env
- KNOWMINE_API_KEY
- description
- KnowMine MCP API Key (starts with km_mcp_). Get yours at https://knowmine.ai/settings/mcp
- required
- true
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 <YOUR_KNOWMINE_API_KEY>For OpenClaw:
npx clawhub@latest install knowmineTools (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 contextSearch 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 entryHow 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