One memory. Every AI conversation.

Capture knowledge once. KnowMine organizes it and makes it available to Claude, ChatGPT, Cursor, and any MCP client.

Portable, searchable, and always yours.

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KnowMineAll indexed

01Natural note

Remember: product decisions need evidence from the real UI.

Captured in conversation

02AI organization

TitleVerify the visible product first
FolderProduct decisions
TagEvidence
StatusIndexed

03Recent knowledge

Verify the visible product firstProduct decisions · just now

04MCP recall

Claude recalled this

Check the user-visible surface before changing the architecture.

Retrieved through KnowMine MCP

Your knowledge, available where you think

ClaudeChatGPTCursorClaude CodeOpenClaw+ any MCP client

How it works

Three Steps to a Living LLM Knowledge Base

From input to retrieval, fully AI-driven. You just focus on thinking.

  1. 01

    Frictionless Input

    Just say it naturally

    Capture a natural thought in conversation or by voice without switching tools.

    Real inputRemember: verify the visible UI before changing architecture.From a Claude conversation · just now
  2. 02

    AI Auto-Structures It

    No manual categorization

    AI assigns a title, folder, and tags, then shows when the item is searchable.

    AI organizedVerify the product users can actually seeProduct decisions · Evidence · Indexed
  3. 03

    Smart Retrieval

    Semantic search, not keywords

    Move to another AI and recall the same knowledge by describing what you need.

    Cross-AI recallClaude recalled this memoryThrough KnowMine MCP · 1 source

Product stories

From one thought to reusable memory

Four real interface fragments show how knowledge is captured, organized, recalled, and understood.

01 · Capture

Stay in the thought, not the filing system

Conversations, voice, and documents become knowledge inputs

Capture naturally in the tool you already use. KnowMine keeps the source and context before AI organizes it.

  • Save inside AI conversations
  • Automatic voice transcription
  • Source context preserved
Quick capture
From a Claude conversationRemember: verify the visible UI before changing architecture.

Save to Product decisions

02 · Organize and index

Every idea gets a clear place

Titles, categories, tags, and index state are generated

AI turns raw input into a browsable item and clearly shows when it is ready to search.

  • Title and knowledge type
  • Folder and tags
  • Explicit index state
Knowledge detail
Product decisions · EvidenceVerify the product users can actually see

3 related knowledge items

Indexed
03 · Search and MCP

Recall it where the answer is needed

Search naturally or let any MCP client retrieve it

No exact wording and no app switching. Claude, ChatGPT, or Cursor can cite your knowledge directly.

  • Semantic search
  • Traceable source
  • Recall across AI clients
Claude
Relevant memory foundCheck the user interface before changing architecture.

This principle came from a June product review.

KnowMine MCP · 1 source
04 · Review and understand

See the shape of long-term thinking

Review, relationships, and Soul keep memory useful

From daily review to topic trends, KnowMine helps you understand how knowledge changes—not just how much you saved.

  • Daily review
  • Knowledge relationships
  • Soul profile export
This week's knowledge
12 new items · 4 relationshipsProduct evidence is becoming a recurring theme

Review next: user behavior versus configuration assumptions

AI-native proof

AI does more than summarize. It maintains useful memory.

Each capability maps to a user outcome, an inspectable mechanism, and a current status.

KnowMine AI capabilities, outcomes, proof, and availability
CapabilityOutcomeProofStatus

Vector Semantic Search

Recall by meaning without repeating the original words.

Vector semantic indexLive

AI Auto-Tagging & Classification

Get a title, type, and tags immediately after capture.

Structured write pipelineLive

Related Knowledge Auto-Discovery

Connect new knowledge to existing themes automatically.

Related-knowledge linksLive

Long-term understanding

Understand your knowledge through review and trends.

Daily review and insightsLive

Soul Profile

Carry long-term preferences into a new AI conversation.

Exportable System PromptLive

Use Cases

Who Uses KnowMine?

Anyone who works with AI needs a knowledge base that keeps up with AI's pace.

01

Indie Developers

Debug experience never lost again

Spent 3 hours fixing a weird Docker networking issue. Told Claude Code 'remember this debugging process'. Three months later, hit a similar problem — Claude pulled up the solution immediately.

Claude Code · Claude Desktop
02

Heavy AI Users

Conversation insights preserved forever

Every day chatting with Claude about architecture, business analysis, creative ideas — generating tons of valuable insights. Before, closing the window meant losing it all. Now via MCP, it's auto-saved. Next conversation, AI connects your past thinking.

Claude Web · AI Agents
03

Content Creators

Inspiration ready when you need it

Spotted an interesting idea, jotted down 'counterintuitive insight about XX trend'. Two weeks later writing an article, searched 'trend' — semantic match found it + 5 related pieces. Article framework assembled itself.

Claude Desktop · Web UI
04

Lifelong Learners

Knowledge truly internalized

Finished a great book, entered core ideas into KnowMine. Daily review uses vector similarity to suggest what to revisit, AI insights uncover hidden connections between different books.

Daily Review · AI Insights

MCP Native

Knowledge That Moves with AI

Connect through MCP over Streamable HTTP. Remote connectors can use OAuth browser authorization; other clients can use a Bearer API Key.

Why MCP?

KnowMine provides a remote MCP server, but every connection requires OAuth or API Key authentication. Unauthenticated requests are rejected.

  • OAuth clients authorize in the browser without pasting a Key into config
  • API Key clients send an Authorization: Bearer header
  • Authorization can be revoked and reconnected in KnowMine
Claude DesktopNative desktop integrationLive
ChatGPTOAuth auto-authorizationLive
Claude CodeDeep CLI integrationLive
Qwen ChatDesktop app with MCP supportLive
Cursor / VS CodeIDE integrationLive
More PlatformsOpenClaw and other MCP clientsLive
Remote MCP connector

Connect securely with OAuth

In an OAuth-capable client, choose Add custom connector and enter these fields.

Name
KnowMine
Remote MCP URL
https://knowmine.ai/api/mcp
Authentication
OAuth 2.0 (browser authorization)
Transport
Streamable HTTP

Connection flow

  1. Save the connector, then sign in to KnowMine in the browser.
  2. Review the requested access and authorize the client.
  3. Return to the client and confirm the KnowMine tools appear.

This panel shows only the public endpoint; it contains no personal Key. API Key clients should send Bearer km_mcp_YOUR_API_KEY in the request header.

Pricing

Simple, Transparent Pricing

Free for daily use. Pro unlocks everything. Founder is a one-time lifetime license.

Free

Start building your LLM knowledge base

$0forever free
Get Started Free
  • 50 knowledge entries
  • 10 AI searches per month
  • 5 voice minutes per month
  • Unlimited documents
  • MCP integration
  • Soul profile not included

Pro

Recommended

Designed for heavy knowledge workers

$9.9/month
Upgrade to Pro
  • Unlimited knowledge entries
  • 200 AI searches per month
  • 60 voice minutes per month
  • Unlimited documents
  • MCP integration
  • Soul profile

Founder

Lifetime access. Pay once, keep forever.

$199one-time
Become a Founder
  • Unlimited knowledge entries
  • 200 AI searches per month
  • 60 voice minutes per month
  • Unlimited documents
  • MCP integration
  • Soul profile

Blog

Latest Articles

Practical notes on AI memory, MCP, and long-term knowledge work.

View All
01
AI Trends · 7 min read

Automating Your Work Is Only 60% — Your Real Moat Is What You Remember

AI has made execution almost free. So a lot of people think wiring up an agent means they've won. It doesn't — that's the pass mark. When everyone can ship in an afternoon, the game comes back to one question: whose judgment is better? And judgment has no shortcut. It compounds from what you've accumulated. Here's why your knowledge base is quietly becoming the last moat that matters.

02
AI Trends · 10 min read

Naval Just Described KnowMine's Target User — From His Own Workflow

In two early-2026 episodes, Naval Ravikant outlined a 3-tier market collapse, the death of pure-software investability, and what solo builders should anchor on. The detail nobody quoted: he runs four AI models in parallel, with no shared memory between them. That's not a power-user habit. That's a missing product layer — the one KnowMine has been building toward.

03
AI Trends · 10 min read

Karpathy's LLM Wiki, Two Weeks Later: Right About Bookkeeping, Brittle Past Personal Scale

Two weeks after the LLM Wiki gist, the ecosystem has shipped real patches — qmd (Karpathy's own pointer), rohitg00's hybrid v2 at 95.2% on LongMemEval-S, and Graphify's graph approach with 2k stars in 48 hours. All three converge on the same thing: where the pattern breaks past personal scale.

Start Building Your LLM Knowledge Base

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KnowMine — The LLM Knowledge Base your AI can read and write | KnowMine