Vision

The "Why" Behind Minne

Personal knowledge management has always fascinated me. I wanted something that made it incredibly easy to capture content—snippets of text, URLs, media—while automatically discovering connections between ideas. But I also wanted control over my knowledge structure.

Traditional tools like Logseq and Obsidian are excellent, but manual linking often becomes a hindrance. Fully automated systems sometimes miss important context or create relationships I wouldn't have chosen.

Minne offers the best of both worlds: effortless capture with AI-assisted relationship discovery, but with flexibility to manually curate, edit, or override connections. Let AI handle the heavy lifting, take full control yourself, or use a hybrid approach where AI suggests and you approve.

Design Principles

Capture should be instant — No friction between thought and storage
Connections should emerge — AI finds relationships you might miss
Control should be optional — Automate by default, curate when it matters
Privacy should be default — Self-hosted, your data stays yours

Roadmap

Near-term

TUI frontend with system editor integration
Enhanced retrieval recall via improved reranking
Additional content type support (e-books, research papers)

Medium-term

Embedded SurrealDB option (zero-config nix run with just OPENAI_API_KEY)
Browser extension for seamless capture
Mobile-native apps

Long-term

Federated knowledge sharing (opt-in)
Local LLM integration (fully offline operation)
Plugin system for custom entity extractors

If Minne isn't quite right for you, check out:

Karakeep (formerly Hoarder) — Excellent bookmark/read-later with AI tagging
Logseq — Outliner-based PKM with manual linking
Obsidian — Markdown-based PKM with plugin ecosystem

Contributing

Feature requests and contributions are welcome. Minne was built for personal use first, but the self-hosted community benefits when we share.

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