KnowMine Is Now Available in English: Your AI Second Brain Goes Global
KnowMine's full English interface is now live. Switch between English and Chinese with one click. URL-based locale routing, automatic browser language detection, and full MCP tool compatibility.
We Heard You
Since KnowMine launched, we've received the same message from developers around the world in dozens of variations:
"I love what KnowMine is building, but I can't navigate a Chinese interface."
Today, that changes.
KnowMine's full English interface is now live. Every page, every button, every tooltip — fully translated. English-speaking developers can now use KnowMine as their MCP-native AI second brain without any language barrier getting in the way.
What's New
URL-Based Locale Routing
KnowMine now uses URL path prefixes for language selection:
- English interface:
knowmine.ai/en/ - Chinese interface:
knowmine.ai/zh/
This approach has a practical advantage: every page has a stable, shareable URL in your preferred language. Send a colleague the /en/ link — they open it, they see English, no fumbling for a toggle button.
Automatic Browser Language Detection
When you visit knowmine.ai for the first time (no path prefix), the system reads your browser's language settings:
- Browser language is
en,en-US,en-GB, or any English variant → redirects to/en/ - Browser language is
zh,zh-CN,zh-TW→ redirects to/zh/ - Any other language → defaults to
/en/
First-time visitors land on the right language automatically. No guessing, no hunting through menus.
One-Click Language Toggle in the Navbar
If automatic detection picks the wrong language, there's a EN / 中文 toggle button in the top-right corner of the navigation bar. Click it, and the interface switches immediately without a page reload.
Language Preference Persisted via Cookie
Once you switch, your choice is remembered via cookie. On your next visit, KnowMine reads your saved preference before running language detection — so you always land where you left off.
What Stays the Same
This section matters. If you're already using KnowMine or evaluating it for your workflow, here's what the English interface launch does not change.
All 8 MCP Tools Work Identically
KnowMine's MCP server is what makes it different from other note-taking or PKM tools. It gives Claude, Cursor, and other MCP-compatible AI agents direct, structured access to your personal knowledge base.
Every tool in the MCP server is completely unaffected by the interface language:
| Tool | Status |
|---|---|
save_memory | ✅ Unchanged |
recall_memory | ✅ Unchanged |
get_insight | ✅ Unchanged |
search_my_knowledge | ✅ Unchanged |
get_soul | ✅ Unchanged |
add_knowledge | ✅ Unchanged |
get_related_knowledge | ✅ Unchanged |
list_folders | ✅ Unchanged |
The MCP server communicates directly with KnowMine's backend API. It never touches the frontend UI layer. Language settings don't enter the picture.
Your Knowledge Base Content Is Language-Agnostic
The notes, decisions, lessons, and insights you've stored in KnowMine remain exactly as you wrote them. Switching your interface to English doesn't translate your knowledge base content — nor should it. Your Chinese notes stay in Chinese. Your English notes stay in English. Mixed-language content stays mixed.
Vector Search Works Regardless of Interface Language
KnowMine uses vector embeddings to store and retrieve knowledge semantically. This matters for multilingual use:
Vector embeddings encode the meaning of text as mathematical vectors — not the words themselves. "机器学习" and "machine learning" map to nearly identical vectors in embedding space.
In practice, this means:
- You can write knowledge in Chinese and retrieve it with an English query
- Your AI agent (running in English context) can surface knowledge you wrote in Chinese
- Cross-language retrieval just works — no configuration needed
API Endpoints Unchanged
If you've built any custom integrations with KnowMine's API, nothing has changed. All endpoints, request formats, and response schemas are identical.
Who This Is For
English-Speaking Developers Who Want an MCP-Native Knowledge Base
Most PKM tools treat MCP as an afterthought — a thin export layer bolted on later. KnowMine was designed from the ground up around the MCP protocol. Your knowledge base is the MCP server. Every piece of knowledge you save is immediately accessible to Claude, Cursor, and any other MCP-compatible tool.
If you've been looking for an English AI knowledge base that integrates deeply with your AI coding tools, this is it.
International Teams Using Claude, ChatGPT, or Cursor
If your team uses AI-assisted workflows — daily standups summarized by Claude, code reviews in Cursor, research synthesized by ChatGPT — KnowMine gives your team a shared, searchable memory layer that persists across conversations.
The bilingual interface means team members can use whichever language they prefer. The knowledge itself is shared.
Developers Who Found KnowMine But Couldn't Navigate the Chinese UI
Maybe you found KnowMine through a GitHub repo, a Hacker News comment, or a developer newsletter. You could tell it was interesting, but the Chinese-only interface was a blocker.
That blocker is gone. Visit knowmine.ai/en/ and you'll have the full experience.
Getting Started
Step 1: Create an account
Go to knowmine.ai/en/ and sign up. The entire onboarding flow is now in English.
Step 2: Connect KnowMine to your AI tool
Visit knowmine.ai/en/connect for the MCP setup guide. The basic configuration takes about two minutes:
{
"mcpServers": {
"knowmine": {
"command": "npx",
"args": ["-y", "@knowmine/mcp-server"],
"env": {
"KNOWMINE_API_KEY": "your-api-key-here"
}
}
}
}
Add this to your Claude Desktop config or Cursor MCP settings, restart, and KnowMine's tools are available in every conversation.
Step 3: Save your first memory
Ask Claude to save something for you:
"Save this as a lesson: always check data state before debugging code logic."
Claude will call save_memory automatically and confirm what was stored. From that point on, KnowMine is building your second brain in the background.
What's Next
The English interface launch is the first step in making KnowMine accessible to a global audience. On the roadmap:
- English-language documentation (in progress)
- More tutorials aimed at English-speaking developers
- Additional language support based on user demand
If you run into anything that's still in Chinese, or if the translation feels off somewhere, please use the feedback button in the interface. We're iterating quickly.
Ready to try it? Sign up at knowmine.ai — your AI second brain is one MCP connection away.
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