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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,...
通过MCP语义搜索保存和查找个人笔记、决策与洞察,用于跨对话记忆。
yiing99
效率工具 clawhub v1.2.0 2 版本 100000 Key: 需要
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概述

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

ToolWhat it does
-------------------
add_knowledgeSave a note, insight, dev log, article, or reflection. Auto-generates title and tags.
search_my_knowledgeSearch your knowledge base by meaning. Supports type and tag filters.
get_knowledgeGet full content of one entry by ID.
update_knowledgeEdit title, content, type, or tags of an entry.
delete_knowledgeRemove an entry.
get_related_knowledgeFind entries related to a given entry by semantic similarity.
list_foldersList your folders and recent entries in each.

Memory

ToolWhat it does
-------------------
save_memorySave a decision, lesson, insight, or preference from a conversation.
recall_memorySearch past memories by natural language. Filter by type.

Analysis

ToolWhat it does
-------------------
get_soulGenerate a user profile summary based on your knowledge. Exportable as a system prompt.
get_insightAnalyze 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


Built by YIING99

版本历史

共 2 个版本

  • v1.2.0 当前
    2026-03-19 03:18 安全 安全
  • v1.0.0
    2026-03-14 03:24

安全检测

腾讯云安全 (Keen)

安全,无风险
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腾讯云安全 (Sanbu)

安全,无风险
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