KnowMine

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.

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.

text

Server URL:  https://knowmine.ai/api/mcp
Transport:   Streamable HTTP
Auth header: Authorization: Bearer <YOUR_KNOWMINE_API_KEY>

For OpenClaw:

bash

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:

text

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:

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recall_memory: "database decision for new project"
→ Returns the PostgreSQL decision with full context

Search across all knowledge:

text

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.ai only (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

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Built by YIING99