“Local AI notes” is still an emerging category. Some entries below are complete note-taking apps. Others are plugins or knowledge workspaces that become useful note systems only after you assemble the pieces. Calling them all apps would hide the most important tradeoff, so this list compares both apps and setups.
Quick picks
| Option | Local model route | Native note workflow | Best fit | Main tradeoff |
|---|---|---|---|---|
| Obsidian + Copilot | Ollama and self-hosted providers | Markdown vault | Deeply customized PKM | Plugin setup and choices |
| Ariv | Built-in Ollama provider | Markdown files plus tasks | Finished workflow with less setup | Less extensible than Obsidian |
| Khoj | Self-hosted or online LLMs | AI layer over documents and notes | Self-hosted knowledge assistant | More system administration |
| AI Notebook | Ollama | Research notebook and sources | Cited answers over documents | Narrower general notes workflow |
| Logseq + Ollama | Community Ollama plugin | Blocks and journals | Local AI inside an outliner | Depends on a community plugin |
| AnythingLLM Desktop | Local or chosen providers | Document workspace | Chat and agents over files | Not a full Markdown note editor |
How we compared local AI note tools
We looked for an actual local inference path, not a general privacy promise. We also evaluated whether each option supports everyday note creation, portable files, retrieval across a knowledge base, reasonable setup, and an actively usable public project as of August 21, 2026.
- Local path: Can a downloaded or self-hosted model perform the AI work?
- Note workflow: Can you write and maintain knowledge, not only upload documents to chat?
- Portability: Can you inspect, move, or export the underlying material?
- Setup: How much plugin selection, model configuration, or server administration is required?
- Fit: Which workflow is this genuinely better at than the other five?
Obsidian with Copilot
Best overall for people who want to build their own local AI vault.
Obsidian is the strongest foundation here if you value plugins and fine-grained control. The community Copilot plugin adds Quick Chat, Quick Ask, commands, and an agent mode. Its current provider documentation supports self-hosted routes including Ollama through an OpenAI-compatible local endpoint.
Your notes remain in an Obsidian Markdown vault, while Copilot supplies the AI layer. That separation is powerful because you can replace the model or plugin without replacing the notes. It also means you are responsible for the integration choices, plugin permissions, and model behavior.
Official Copilot repository · provider setup documentation · Ariv vs Obsidian
Ariv
Best ready-to-use Markdown notes app with built-in Ollama support.
Ariv combines a Markdown editor, local vault, task extraction, calendar, search, and optional AI in one app. Ollama is a first-class provider in AI & Intelligence settings, so note summaries, Ask Brain responses, and AI-assisted tag refinement can use a model running on your computer.
It asks for less assembly than Obsidian with Copilot and provides more of a daily note workflow than AnythingLLM. The tradeoff is the inverse: Ariv is not trying to be a plugin platform, so people who want to replace every component will find fewer extension points.
How Ariv local AI works · step-by-step Ollama guide
The core Markdown workflow is free and does not require a model.
Khoj
Best self-hosted AI second brain across notes and documents.
Khoj is an open-source personal AI app that can search and answer questions across Markdown, PDFs, Office documents, Notion content, and other sources. It offers desktop, browser, and Obsidian surfaces and can use local or online language models.
Choose Khoj when the AI assistant and self-hosted knowledge layer are the product you want. It is more infrastructure-oriented than Ariv and less focused on being the place where every note is edited, but it handles broader source collections and self-hosting ambitions well.
AI Notebook
Best for cited research over a local document collection.
AI Notebook is an open-source desktop research notebook built around Ollama. It stores source text, embeddings, notes, chat history, and metadata locally in SQLite, then answers questions with citations back to source material.
That citation-first design makes it appealing for research, reports, and document-heavy study. Its note editor and source organization are more specialized than a general personal knowledge manager, and its project documentation asks users to account for platform-specific packaging and model downloads.
Logseq with the Ollama plugin
Best local AI option for block-first notes and journals.
Logseq's block and journal model is distinctive. The community Ollama plugin can use a local model to ask questions with page or block context, summarize a page or block, create flashcards, suggest subtasks, and run custom prompts.
This setup is attractive if Logseq is already how you think. Its position is lower because the AI experience depends on a community plugin rather than a built-in provider, so project compatibility and maintenance deserve more attention than they do with a native integration.
AnythingLLM Desktop
Best broader local AI workspace for chatting with documents and using agents.
AnythingLLM Desktop packages local document chat, model selection, knowledge workspaces, and agent capabilities into a cross-platform desktop app. Its current site says the desktop experience can keep models, documents, and chats local and does not require an account.
It is an excellent option when the center of gravity is AI over files. It ranks sixth specifically for note-taking because it is better understood as a document and agent workspace than a full Markdown note editor with a long-lived personal vault.
Reor was one of the clearest early examples of local AI notes, but its official GitHub repository was archived on March 7, 2026. The code remains available, but an archived project is not a responsible default recommendation for someone starting a new notes system today.
Which one should you choose?
Start with your note shape, not the model. Choose Obsidian or Ariv if Markdown files are the center. Choose Logseq if blocks and journals are the center. Choose AI Notebook if cited source research is the center. Choose Khoj if self-hosted retrieval across many sources is the center. Choose AnythingLLM if the AI workspace itself is the center.
Then test one ordinary task using a local model: summarize a meeting note, find an answer across three notes, or identify actions in a project log. The best option is the one that completes that task without asking you to maintain a second hobby.
Sources and verification
- Obsidian Copilot repository and its LLM provider documentation.
- Ollama API introduction and Ollama cloud behavior.
- Khoj repository and product documentation.
- AI Notebook repository and feature documentation.
- Ollama Logseq plugin repository.
- AnythingLLM official product site.
- Archived Reor repository.
Features, model support, packaging, and project status can change. We checked the linked primary sources on August 21, 2026 and will correct factual errors when found.