🚀 AI-Powered Knowledge Base for High-Value Professionals
Put industry domain experts into your local Agent, build your exclusive knowledge engine
Regardless of your domain, TalentMe seamlessly fuses cutting-edge cloud knowledge with your local notes, providing expert-level real-time assistance right in your IDE. Through the MCP protocol, AI combines your "Local Private Notes" and "Cloud Professional Knowledge Base" to deliver precise answers.
Initial release: ML/DS algorithm engineer interview question bank and learning paths. More custom domains will be unlocked in the future.
Trusted by engineers from top tech companies to build their personal knowledge engines
Google
META
amazon
Apple
NETFLIX
OpenAI
Anthropic
xAI
ByteDance
Tencent
Alibaba
Google
META
amazon
Apple
NETFLIX
OpenAI
Anthropic
xAI
ByteDance
Tencent
Alibaba
Stop Scattering Your Knowledge
Connect your disjointed PDFs, Notion notes, and AI chats into one living brain.
❌The Old Way: Isolated Islands
Scattered PDFs, Notion pages, and AI chats. You learn, you forget, you start over every time you face a challenge.
✅TalentMe: Unified Knowledge Graph
Connect your private notes with our Cloud DB via MCP. Query everything instantly right inside your IDE.
🧠 Exclusive AI Q&A (Query)
Break down knowledge silos. In your favorite coding environment, the AI simultaneously queries your "Local Private Notes" and our "Cloud High-Frequency DB" to provide the perfect tailored answer.
🗄️ Local Context (Your Notes)
📄markdown_notes/attention.md
Matches: Q, K, V definitions
+
☁️ Cloud DB (Live Interview Qs)
⚡TalentMe Live Repo
Matches: 2026 SV Interview Trends
▼
IDE Chat (Cursor / Windsurf)
👤
Explain the QKV matrix calculation in Transformers. Please combine my local notes with the latest tech-giant interview trends.
🤖
🤖 TalentMe Agent
Based on your local note markdown_notes/attention.md, you've summarized that Q, K, and V stand for Query, Key, and Value.
Merging this with our Cloud DB's '2026 Silicon Valley High-Frequency Bank', interviewers often ask a follow-up:
Why do we divide by √d_k before applying Softmax?
Because when the dimension d_k is large, the dot products grow large in magnitude, pushing the softmax function into regions where it has extremely small gradients (vanishing gradients). Scaling by √d_k keeps the variance close to 1, stabilizing the gradients.
Tip: I highly recommend adding this detail to your local note.
⚡ MCP Configured? Try these commands in your IDE Chat (Click to copy):
/tm status - Audit my current mastery levels & weak spots
/tm mock google - Start a tailored mock interview for Google MLE
/tm sync - Sync my local markdown notes with the DB
Check my resume... - Check env & compile my tectonic resume PDF
Mastery Curve · Start 5% → Final 92%Click profiles above to preview
Hybrid Cloud & MCP Flow
The cloud repository serves dynamically updated professional knowledge bases and Agent Skills. The local FastMCP server drives your local IDE (Cursor/Claude) offline without uploading your markdown vault.
☁️
Cloud Repository
Skills & Templates
• Live Q&A Updates• Advanced Prompt Library
⚡
💻
Local MCP Client
FastMCP Server
• Local Database (memory.db)• Strict Offline Mode Supported
⚡
🤖
IDE Integration
Cursor & Claude
• Natural Language Prompting• Context-Aware Responses
🛡️ Your notes stay on your computer, forever.
TalentMe will never read, upload, or cache any of your local notes. The only optional upload is desensitized study statistics (e.g., "Reviewed 5 topics this week") to generate radars and heatmaps. It even works offline—MCP fully supports offline mode.
🔍 Technical Details (Desensitization Flow)▼
To ensure absolute privacy, background auto-uploads are strictly banned. Local stats are synced only via your clicks. The cloud server deletes the uploaded DB file immediately after updating telemetry aggregates.
💻 Local User Environment
📄 markdown_notes/ (.md)
🗄️ memory.db (Logs & Mastery)
🔒 100% Private (Never leaves local machine)
⚡ Local Sync via Port 8002
JSON Aggregates Only
→
☁️ Cloud Web Server (Port 8001)
📥 Receives desensitized JSON
💥 Temp DB deleted immediately post-parsing!
📊 Saved: Aggregates, Radars & Heatmaps
Diagnostic Dashboard Prototypes
High-fidelity diagnostic metrics help you track preparation gaps. Includes knowledge radars, GitHub contribution heatmap matrix, and double-linked node graph topology.
🕸️ Mastery Radar Preview
Average Mastery score: 4.2 / 5.0
📅 Activity Heatmap Preview
Consistent prep active check indicator.
🕸️ Double-Link Knowledge Graph
🛠️ Quick 3-Step Setup
Build your private ML interview brain locally in just 3 steps.
1
Get License
Click the sidebar Login button to secure your free license key instantly.
2
Local Bootstrap
Run 'talentme setup' in your local notes directory to bind your license key.
3
IDE / CLI Wakeup
Type '/tm' or '/talentme' directly in mainstream IDEs (Cursor, Windsurf) or any Coding Agent CLI to summon your private brain.