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What is Tolaria?
Tolaria is a note-taking app built around plain Markdown files on your own disk. It describes itself as "a second brain for the AI era," and its core promise is that your notes stay durable and portable: each note is a Markdown file with YAML frontmatter, with no database and no proprietary format. You can open the files in any editor, search them from the terminal, or version them with Git.
It is aimed at people who want Notion-style editing without giving up file ownership. The editor is block-based, with slash commands, wikilinks and autocomplete, whiteboards, media previews, and table navigation, but everything durable is saved back into vault files.
Where it differs from typical note apps
- Files first. Notes live as Markdown on disk, so they outlive the app and work with existing tools.
- Git is built in. You can commit, push, and browse history inside the app, including per-note version history, and sync across devices with Git rather than a proprietary sync service.
- AI is optional and two-mode. You can run CLI coding agents for tool-backed editing, or use local or API model providers for chat over your note context without letting the model write to the vault.
- No account required, and the project says it is open source and free forever.
Who it suits
A developer or technical writer who already keeps notes in Markdown and wants relationships, types, and custom views on top, plus Git history and AI assistance, would get the most from it. Someone who wants a hosted, zero-setup notes service with mobile apps and real-time collaboration is likely to find the file-and-Git model more work than they want.
Trade-offs to weigh
Plain files and Git give you control and longevity, but you manage sync, conflicts, and backups yourself. AI features depend on bringing your own agents or model providers, so setup and cost sit with you rather than being bundled. And because the product is young, its ecosystem and mobile experience may be thinner than established alternatives.
A practical next step: install Tolaria, open the Getting Started vault, and try the first-launch flow with a handful of real notes. If the Markdown-on-disk model and in-app Git history feel natural after a week, the rest of the feature set will make sense; if you miss hosted sync and a polished phone app, that is your signal to look elsewhere.
How does Tolaria store and organize my notes on disk?
Tolaria stores every note as a plain Markdown file on your disk, with structured metadata in YAML frontmatter at the top of each file. There is no database and no proprietary format: a vault is just a folder of .md files you can open in any editor, search with grep, or version with Git.
That design has practical consequences:
- Portability. Your notes outlive the app. If you stop using Tolaria, the files remain readable in Obsidian, VS Code, or a terminal.
- Metadata as structure. Because frontmatter is YAML, properties like type, tags, or dates stay machine-readable, which is what lets Tolaria build relationships and custom views on top of otherwise plain text.
- Git-native versioning. Tolaria includes a Git client inside the app, so you can commit, push, and browse per-note history without leaving the editor. The page describes this as "the same tool you already trust for code."
The editing layer is separate from the storage layer. Tolaria's editor is block-based with slash commands, wikilinks with autocomplete, whiteboards, and media previews, but the page is explicit that "everything durable stays in vault files." So you get Notion-style writing while the durable artifact stays Markdown.
A concrete scenario: a researcher keeps one vault in a Git repo. Field notes are written in Tolaria's block editor, tagged via frontmatter, and linked with [[wikilinks]]. At the end of a week, they commit and push from inside the app, then grep the vault from the terminal to find every note mentioning a method. Nothing requires Tolaria to be open for the last step.
Decision criterion: if you want a database-backed app with server-side sync and collaboration, this file-first model will feel like extra work. If you want your notes to remain inspectable, scriptable, and yours, it fits.
Next step: install Tolaria, open the Getting Started vault, and confirm the on-disk layout by opening the vault folder in your own editor before you migrate real notes.
How do I sync Tolaria notes across devices using Git?
Tolaria stores every note as a plain Markdown file with YAML frontmatter, and it ships a Git client inside the app, so syncing across devices is really just Git syncing — the app gives you commit, push, and history browsing without leaving your vault.
The practical setup
- Put your vault folder under Git (init a repo, or clone an existing one on each device).
- Create a private remote — any Git host works, since it's ordinary Git.
- On each device, clone that remote and open the vault in Tolaria.
- Work as usual: commit and push from the app's Git panel, then pull on the other machine before you start editing.
What you get, and the trade-offs
| Aspect | What it means for you |
|---|---|
| Sync model | Explicit commit/push/pull, not silent background sync |
| Conflict handling | Standard Git conflicts — you resolve them, and plain-text Markdown makes that readable |
| Version history | Per-note history and commit history viewable in the app |
| Requirement | A remote repository and basic Git familiarity |
The upside is durability and auditability: no proprietary database, no locked-in sync service, and you can read, grep, or diff your notes from a terminal. The cost is friction. Git rewards deliberate commits; it punishes two devices editing the same note offline. If you write on a laptop and a phone and expect changes to merge themselves, Git will feel heavier than a hosted notes app.
A realistic workflow
Say you draft on a desktop in the morning and want to continue on a laptop in the evening. Before leaving the desktop: commit and push. On the laptop: pull, edit, commit, push. If both machines touched the same file, you resolve the conflict in the note itself — frontmatter and body are both text, so the diff is legible.
If you already keep code in Git, this is the same mental model, which is exactly Tolaria's pitch. If you have never used Git, budget time to learn branches, remotes, and conflict resolution before trusting it with your only copy of anything important.
Next step: pick a private repository, clone it on your second device, and make one test commit and pull to confirm the round trip works before migrating real notes. For background on Git itself, see Git.
How do I use AI agents and models with my notes in Tolaria?
Tolaria splits AI use into two modes: agents that can write to your vault, and models that only chat over your note context. The distinction matters because it determines whether the AI can change your files.
Agents (tool-backed editing). Tolaria lets you run CLI coding agents such as Claude Code, Codex, OpenCode, Pi, and Gemini. These are the option to reach for when you want the AI to actually edit, create, or reorganize notes — it works through the same tools a developer would use, on the same Markdown files.
Models (chat over context). Tolaria also supports local or API model providers for chat over your note context, explicitly without vault-write tools. Use this when you want to ask questions, summarize, or reason about what's in your notes without risking unintended edits.
A practical way to choose:
| Goal | Mode |
|---|---|
| Rewrite, restructure, or generate notes | CLI agent with tool access |
| Ask questions, summarize, explore ideas | Model chat, no write tools |
| Keep sensitive notes off external servers | Local model provider |
Because every note is a plain Markdown file with YAML frontmatter — no database or proprietary format — AI tools operate on files you can inspect, grep, and version yourself. If an agent makes a change you don't want, Git is built into the app: commit history is navigable per note, and you can track, commit, and push from inside Tolaria. That makes version control your safety net for agent edits.
A concrete starting workflow: open the Getting Started vault, configure one local or API model for chat-only use, and ask it to summarize a few existing notes. Once you're comfortable with how context is passed, add a CLI agent and have it perform a single small edit — then review the diff in the Git view before committing.
For setup specifics, the docs live in the app repo and cover configuring AI alongside notes, properties, types, and views. Tolaria is open source, free, and requires no account, so you can test both modes before deciding how much to delegate to agents.
How does Tolaria's block editor compare to writing plain Markdown?
Tolaria's editor is a hybrid: you write in a Notion-style block interface, but the durable file on disk is plain Markdown with YAML frontmatter. That means the comparison isn't "rich editor vs. plain text" so much as "rich editor over plain text."
What the block layer adds
According to Tolaria's own description, the editor provides slash commands, wikilinks with autocomplete, whiteboards, media previews, table navigation, and note-width controls. Relationships between notes are treated as a first-class feature rather than something you maintain by hand. Practically, this helps when you have many interlinked notes and want to create a link without remembering the exact filename, or when you want to scan a table without reading raw pipe characters.
What plain Markdown gives you instead
Writing plain Markdown in any text editor means no hidden state: what you type is what's stored, and every tool that reads .md works immediately. There's no block model to learn and no risk of an editor rewriting your formatting. The trade-off is manual work — you type full link paths, align tables yourself, and preview media in a separate viewer.
Where the difference actually bites
| Situation | Block editor (Tolaria) | Plain Markdown |
|---|---|---|
| Linking notes often | Wikilinks with autocomplete | Type paths manually |
| Reviewing a table | Table navigation in-app | Read raw pipes or use another previewer |
| Editing on any device | Needs a compatible editor for full features | Any text editor works |
| Long-term portability | Files stay Markdown on disk | Files are Markdown by definition |
| Bulk edits, grep, scripts | Files remain greppable | Same, natively |
The key point is that Tolaria's block editing doesn't lock your content into a database or proprietary format — notes are Markdown files with YAML frontmatter, readable by any editor and versionable with Git. So the usual "rich editor traps your data" concern is largely removed here; the cost is mainly learning the block interface and depending on the app for the richer features.
A concrete way to decide
If your notes are mostly short and rarely linked, plain Markdown in a lightweight editor is faster and has fewer moving parts. If you maintain a dense web of interlinked notes, use tables and media frequently, and want Git history visible without leaving the app, the block layer earns its keep. A reasonable test: take one existing folder of Markdown notes, open it in Tolaria, and see whether wikilink autocomplete and in-app history change how you work. If they don't, plain Markdown is the simpler choice.
For related approaches, Obsidian and Logseq also combine Markdown files with link-heavy editing, which can help you judge whether Tolaria's specific mix fits your habits.
What are the steps to install Tolaria and set up my first vault?
Tolaria installs as a desktop app and then walks you into a starter vault. The setup is deliberately file-first: you point the app at a folder, and your notes live there as Markdown rather than inside a database.
Step 1 — Install the app Download Tolaria from the official site or its GitHub releases, install it like any desktop application, and launch it. No account is required, and there is no sign-in step to get through.
Step 2 — Open the Getting Started vault On first launch, choose the built-in Getting Started vault. This is the guided path the project provides for understanding the first-launch flow. Read through it before creating your own vault, because it explains the note model you will be working with.
Step 3 — Create your own vault A vault is just a folder on disk. Pick a location you can back up and sync — a documents folder, a Dropbox/iCloud folder, or a Git working copy. Tolaria stores every note as a Markdown file with YAML frontmatter, so nothing is locked into the app.
Step 4 — Learn the model before bulk-importing The docs cover notes, properties, types, relationships, custom views, Git and AI together, and they ship inside the app repo so they stay current with the product. Spend twenty minutes there rather than importing hundreds of notes first.
Step 5 — Write your first notes
Use the block editor with slash commands and [[wikilinks]] with autocomplete. Wikilinks are treated as first-class relationships, which is what makes the vault more than a folder of text files.
Step 6 — Connect Git if you want version history Tolaria includes a Git client, so you can commit, push and browse history without leaving the app, including per-note history. If you already use Git for code, this is the same mental model.
Step 7 — Configure AI last You can attach CLI coding agents (Claude Code, Codex, OpenCode, Pi, Gemini) for tool-backed editing, or point the app at local or API model providers for chat over your note context without vault-write access. Set this up after your vault structure exists, so the AI has something coherent to read.
A practical decision point
| Your situation | What to do |
|---|---|
| Just exploring | Stay in the Getting Started vault for a day |
| Existing Markdown notes | Create a vault pointed at that folder and check frontmatter renders correctly |
| Team or multi-device use | Put the vault in a Git repo and use the built-in Git client |
| Privacy-sensitive notes | Use local model providers, not API providers |
Next step: create the vault in a folder you already back up, write five notes with wikilinks between them, then make your first commit. If you want to compare the file-on-disk approach with other tools, see Obsidian and Logseq.
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