SilverBullet privacy-first AI note-taking

XDA’s recent piece on ditching Notion AI and OneNote for a smaller AI note-taking app captured what a lot of note-takers are realizing: cloud-only AI on top of a cloud-only workspace is a lot of trust to hand over for a summarizer. Notion’s AI pricing climbed again, OneNote’s Copilot integration requires a full 365 subscription, and neither runs the model on your machine. Seven privacy-first AI note-taking apps on desktop below cover the middle ground, local or self-hosted intelligence over notes you actually own, without giving up on the AI features that make the setup worthwhile.

What to look for in a privacy-first AI note-taking app

Four things separate a real privacy story from marketing:

Beyond privacy, feature parity with Notion AI matters: summarization, semantic search, question-answering across notes, and outline generation are the standard set.

Quick comparison

App Best for Model Free Standout feature
SilverBullet Self-hosted markdown wiki with AI Local or API Yes Space script for custom AI actions
Obsidian + Smart Second Brain Existing Obsidian users Local (Ollama) Yes RAG over your vault
AppFlowy AI Notion-like workspace, self-hosted AI Self-hosted or API Yes Full workspace with local AI
Reor AI-native note-taking Local (Ollama) Yes Auto-links and semantic search built in
Logseq + LlamaIndex Outliner-first, RAG-ready Local or API Yes Block-level semantic search
Anytype End-to-end encrypted spaces Cloud API opt-in Yes E2E encrypted, decentralized sync
Reflect Cloud AI with strong privacy commitments Cloud API Around $10/mo Voice notes and daily journal

The apps

1. SilverBullet, best for self-hosted markdown wiki with AI

SilverBullet is the pick most privacy-first note-takers converge on. It’s a self-hosted markdown wiki you run on your own server (Docker, or bare Node), with a scripting layer (Space Script) that lets AI actions live inside the notes themselves. Point it at a local Ollama endpoint, then define custom AI commands per page.

Because the storage is plain Markdown files on your server, migration in and out is trivial. And because the AI layer is scripted, you decide what leaves the box.

Where it falls short: requires a server to self-host. Not for users who don’t want any infra work.

Pricing:

Platforms: Runs anywhere Node runs; access via any browser.

Download: Site · GitHub

Bottom line: the pick for anyone comfortable with a home server and a text-first workflow.

2. Obsidian with Smart Second Brain, best for existing Obsidian users

Obsidian plus the community plugin Smart Second Brain turns your existing vault into a RAG (retrieval-augmented generation) knowledge base. The plugin embeds your notes locally using a small transformer, then answers questions by feeding relevant note chunks to a local Ollama model or an API endpoint of your choice.

Because Obsidian stores plain Markdown and does not require an account for the base app, this is the highest-trust option for anyone already invested in the ecosystem.

Where it falls short: initial embedding is slow on large vaults (10,000+ notes take an hour). Ollama’s memory footprint eats laptop RAM.

Pricing:

Platforms: Windows, macOS, Linux (Obsidian and Ollama).

Download: Site · Smart Second Brain GitHub

Bottom line: the default pick if you already use Obsidian.

3. AppFlowy AI, best for a Notion-like workspace with self-hosted AI

AppFlowy AI is the pick for anyone who wants to leave Notion for the same shape of tool but with self-hosted AI. AppFlowy’s server can be self-hosted via Docker, and its AI subsystem can point at a local Ollama instance or a self-hosted OpenAI-compatible API.

The workspace, docs, databases, and grid views, closely matches Notion, which shortens migration.

Where it falls short: the local AI setup is still maturing. Some AI features work smoother against the AppFlowy cloud than a local Ollama.

Pricing:

Platforms: Windows, macOS, Linux, iOS, Android.

Download: Site · GitHub

Bottom line: the pick for Notion refugees who want the same shape without the cloud dependency.

4. Reor, best for AI-native note-taking

Reor was built with local AI as a first-class feature, not an add-on. Notes are plain Markdown files, embedding happens on-device using a bundled transformer, and semantic search plus auto-linking work without an internet connection. The app pairs with Ollama or LM Studio for generation tasks.

Everything runs locally by default; cloud API keys are opt-in only.

Where it falls short: early-stage product; feature set is thinner than Obsidian’s ecosystem. UI is unfinished in places.

Pricing:

Platforms: Windows, macOS, Linux.

Download: Site · GitHub

Bottom line: the pick for anyone starting fresh who wants AI baked in, not bolted on.

5. Logseq with LlamaIndex, best for outliner-first users

Logseq is the outliner-style note-taking app, and pairing it with a LlamaIndex-based plugin (or the built-in AI feature pointed at a local model) turns each block into a searchable, question-answerable unit. Because Logseq stores everything as Markdown or Org-mode, it fits the same file-first privacy model as Obsidian.

Where it falls short: the outliner mental model is not for everyone. AI integration is less polished than Smart Second Brain for Obsidian.

Pricing:

Platforms: Windows, macOS, Linux, iOS, Android.

Download: Site

Bottom line: the pick if the outliner shape appeals more than page-based notes.

6. Anytype, best for end-to-end encrypted spaces

Anytype is different: it does not (yet) integrate local LLMs, but its end-to-end encryption and peer-to-peer sync fit the privacy-first brief on the storage side. Combined with any external chat tool pointed at your knowledge base via export, it gives you strong sync and privacy without the AI layer.

Where it falls short: no built-in AI features. The object model has a learning curve.

Pricing:

Platforms: Windows, macOS, Linux, iOS, Android.

Download: Site

Bottom line: the pick if encryption matters more than AI integration.

7. Reflect, best for cloud AI with strong privacy commitments

Reflect is included as the cloud-based pick with the most defensible privacy story. It uses GPT-4 and Claude, discloses exactly what leaves your notes, and offers end-to-end encryption on notes at rest. The daily journal and voice notes with AI transcription are the standout features.

Where it falls short: cloud, not local. Some users will draw the line here regardless of policy.

Pricing:

Platforms: Windows, macOS, Linux, iOS.

Download: Site

Bottom line: the pick if you want a polished experience and trust a cloud provider that documents its practices.

How to pick the right one

FAQ

What is the best free privacy-first note-taking app with AI?

SilverBullet, Reor, and Obsidian with Smart Second Brain are all free and put the AI layer on-device or on your own server. Obsidian is the easiest starting point for most users.

Do I need a powerful computer for local AI notes?

Yes and no. A 7-billion-parameter model (Llama 3.1 8B, Mistral 7B) runs on 16 GB of RAM comfortably. Larger models want 32 GB and a discrete GPU. Embedding for semantic search is CPU-friendly and works on almost any modern laptop.

What is Ollama and why does it keep coming up?

Ollama is a small tool that runs open-source LLMs on your machine with a one-line install. Most privacy-first note-taking apps that support local AI use Ollama as the backend because it exposes an OpenAI-compatible API locally.

Can I move my notes between these apps?

Yes for the ones that store plain Markdown (SilverBullet, Obsidian, Logseq, Reor, AppFlowy). Anytype uses a proprietary format but exports to Markdown. Reflect exports to Markdown too. Moving between Markdown-based apps is usually a folder copy plus reconfiguring metadata.

Is self-hosting really more private than a good cloud service?

Yes if you can secure the box. Self-hosting a note-taking app on a home server behind a strong firewall with regular backups is more private than any cloud service. Self-hosting on a poorly-configured VPS with default passwords is worse than a good cloud service. Trust follows the weakest link.