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personal context
Local, portable, + open source context across all LLMs
Tired of rewriting your background for every new AI ? LLM memory features are great, but your context gets trapped inside each platform. Personal Context Engine solves this. It passively interviews you to extract "vignettes" (behavioral scenes, not just labels) and exports your true identity into portable Markdown files. Use the built-in MCP server to connect your local context directly to Claude Desktop or Cursor. No cloud lock-in. Stop the generic AI replies. Own your context.
Hi Product Hunt! 👋 I’m Yuma, the creator of Personal Context Engine.
A bit about my journey: I recently lost my business, fell into debt, and left Tokyo with just one suitcase and a laptop to rebuild my life from absolute zero. 🧳💻
Naturally, I turned to AI (ChatGPT, Claude) for advice on how to start over and find the right path for me. But the answers were always terrible.
I would ask for business ideas, and it would suggest generic things like "start dropshipping" or "do affiliate marketing"—things that completely ignored who I actually am.
I realized the problem wasn't the AI's intelligence. The problem was that the AI didn't have my true context.
Even if I pasted a brief profile into the system prompt, it didn't help. Because what we think our values are (e.g., "I value freedom") is often just a filtered, socialized version of ourselves.
I realized I needed the AI to know my actions and sensations—the specific prerequisites of my life.
So, I built an open-source engine to fix this:
1. Passive Interview: It asks you behavior-based questions (e.g., "Where did you actually spend your time and money this week?" or "What made your body feel light?").
2. Extracts "Vignettes": It captures specific scenes of your life, not just boring bullet points.
3. Portable Markdown: It exports your true identity into plain .md files.
4. Built-in MCP Server: Connect your local context directly to Claude Desktop or Cursor seamlessly. No cloud lock-in.
It's entirely Open Source (MIT) and runs locally.
I’d love for you to try the live demo (no install required) and let me know what you think about this approach to making AI actually understand you!
GitHub: [https://github.com/uchidayuma/pe...
About personal context on Product Hunt
“ Local, portable, + open source context across all LLMs”
personal context was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #137 on the daily leaderboard. Tired of rewriting your background for every new AI ? LLM memory features are great, but your context gets trapped inside each platform. Personal Context Engine solves this. It passively interviews you to extract "vignettes" (behavioral scenes, not just labels) and exports your true identity into portable Markdown files. Use the built-in MCP server to connect your local context directly to Claude Desktop or Cursor. No cloud lock-in. Stop the generic AI replies. Own your context.
On the analytics side, personal context competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how personal context performed against the three products that launched closest to it on the same day.
Who hunted personal context?
personal context was hunted by Yuma Uchida. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of personal context including community comment highlights and product details, visit the product overview.
Yuma Uchida