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,...

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 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.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

---

Built by YIING99