Local Memory Sidekick
No-login custom tracker with an MCP server so your local AI can log and review for you
- Problem
- Many people want to track custom metrics (habits, project progress, ideas), but existing tools are built around predefined categories. A Show HN project offers custom tracking with an MCP server, showing users want to manage personal data through their favorite AI instead of being locked into an app.
- Solution
- A no-login, local-first tracker where users define their own variables and recording methods. It also exposes an MCP server so local AI (e.g., Claude Desktop) can read/write data, generate briefings, and guides. Data stays on the user's machine or their own cloud drive.
- Users
- Tool-tinkering individuals, heavy AI users, quantified-self enthusiasts.
- MVP
- No-login local web app; custom variable and record forms; basic stats and trend charts; MCP server interface; one-click data export.
- Revenue
- Free local version plus paid cloud sync or team tier; subscription for advanced AI features via MCP integration.
- Why now
- The MCP ecosystem is nascent, and users crave plugging personal data into their own AI workflows; an indie dev can quickly own this niche.