NoteGen

Open-source local-first note-taking app that uses AI to turn raw clippings into structured Markdown.

Free· Free and open source (GPL-3.0); bring your own model keys if you want paid LLMsWritingMulti-model (Qwen3-8B, BAAI/bge-m3, GLM-4.1V-9B-Thinking, BYO keys)

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Best for

Pick NoteGen if you want an AI-organized notes app that stays local, free, and lets you swap in your own LLM keys.

Skip if

Skip it if you need a polished team workspace, hosted collaboration, or an enterprise-grade SaaS with support contracts.

NoteGen is a free, open-source (GPL-3.0) note-taking application that combines frictionless capture with AI-driven organization. Users dump raw content into an inbox (text, screenshots, links, voice, files, tasks), and the app uses configurable AI models to merge it into clean, editable Markdown notes via customizable templates. The whole pipeline runs locally with no required login, and cross-device sync is handled through GitHub, Gitee, GitLab, Gitea, WebDAV, or S3.

It is aimed at individuals who want the speed of a quick-capture app like Bear or Apple Notes plus the organization-by-AI promise of Mem or Reflect, but without surrendering data to a SaaS. NoteGen ships built-in free models (Qwen3-8B, BAAI/bge-m3 for embeddings, GLM-4.1V-9B-Thinking for image understanding) and lets users plug in their own API keys for other providers. Costs are zero; it is genuinely free, not freemium.

The AI workbench supports context-aware rewriting, RAG-style retrieval over your own notes, and multi-step task agents. MCP support means you can connect it to external tools and services. With 12k+ GitHub stars, it has real momentum, though the UI polish and ecosystem maturity still trail commercial competitors.

Editor's take

A genuinely useful entrant in the AI-notes space that respects your data and your wallet. The bundled free models won't outdo GPT-class APIs, but BYO keys plus MCP make it surprisingly extensible. Treat it as an Obsidian-adjacent option with native AI capture, not a Notion replacement.

— The AI Tool Bible editorial team