anytype-mind
A structured brain for AI assistants inside Anytype
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Nguyen Quoc Anh

anytype-mind - A structured brain for AI assistants inside Anytype

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AI assistants forget your context. Anytype Mind fixes this by turning Anytype into a structured, offline-first brain via MCP. It gives AI the power to read, write, and relate objects—like decisions, incidents, and tasks—building a knowledge graph over time.

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Nguyen Quoc Anh
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Hi Product Hunt! 👋 I'm excited to share Anytype Mind. If you use AI coding assistants like Claude Code or Cursor, you've probably noticed a major flaw: they don't remember the bigger picture. Every new chat starts from scratch. Context is lost. I wanted my AI to actually remember my architectural decisions, my 1-1 meeting notes, and my recent achievements without me having to manually feed it markdown files. That's why I built Anytype Mind. It uses an MCP (Model Context Protocol) server to connect your AI directly to Anytype, utilizing Anytype's local-first, privacy-focused engine. What it does: 🧠 12 Object Types: Out-of-the-box support for Decisions, Incidents, 1-1s, PR Reviews, and more. ⚡ 5 Lifecycle Hooks: AI automatically categorizes and links information without manual tagging. 🛠️ 14 Slash Commands: Quick workflows like /standup, /dump, or /peer-scan. 🤖 8 Subagents: Automated background tasks to prepare your performance reviews or link orphaned data. You can set it up in 5 minutes with our bootstrap script. It’s open-source and completely local. I’d love to hear your feedback, use cases, and how you currently manage context with your AI!