stuga

mcp
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SUMMARY

Self-hosted Notion alternative where AI agents' edits arrive as tracked changes you accept or reject. Docs, databases, MCP.

README.md

Stuga

AI suggests. You decide.

Self-hosted documents and databases where edits from Claude Code, Codex or any MCP client arrive as
tracked changes and, by default, land only when a person accepts them. Use it on your own or with
your team.

Download for Mac (Apple silicon, macOS 15+) ·
Install with Docker

Install, then create your account and workspace
and connect an agent. Help for people using Stuga: stuga.dev/docs.

Claude Code's edits to a document arriving as tracked changes, accepted and rejected one by one

How agent edits work

  • Review by default. An agent's changes wait for a person, who is notified and accepts or
    rejects each one in the document or table. Nothing lands on a timer.
  • Nobody is blocked. Collaborators never see pending agent text and keep editing. The agent
    carries on, and its later reads include its own pending edits.
  • Or apply at once, or ask a colleague. In Who reviews AI edits…, the owner of a document,
    database or folder, or a workspace admin, can choose AI edits apply directly: changes land at
    once, recorded, attributed and revertible. Or Reviewed by a colleague: someone other than
    whoever asked the AI approves them.
  • A run per session. Each run records the agent, the person it acts for, the client and model it
    reported, and every change. Review AI edits lists the runs that need someone.
  • Who wrote this? An agent can ask a document which passages agents wrote and whether a person
    accepted them.
  • Instructions that stack. The workspace, folders, documents and databases can each carry
    instructions for agents. They advise the model; permissions and review decide what a write does.

Claude Code's changes to a table waiting as proposals, then accepted

What's in it

  • Documents written together. Real-time editing (Tiptap over a Yjs CRDT) with presence,
    comments, @mentions and version history.
  • Databases with SQL. Typed tables beside your documents, each database its own SQLite file,
    with saved views, row pages and CSV import. Agents, Ask and the REST API run read-only SQL on them.
  • Search that follows permissions. Keyword (BM25 over Postgres full-text search) and semantic
    (pgvector) search in one SQL statement, with access checked inside it. Chinese, Japanese, Korean
    and Thai work without setup.
  • Built-in AI, off until set up. A co-author and a table assistant, whose edits are reviewed like
    an agent's, and Ask, which cites sources. OpenAI, Anthropic, Gemini, DeepSeek and more, or Ollama.
  • Sharing and sign-in. Workspaces, folders, per-document sharing, groups and guests. People join
    by invite link and sign in with a password or your OpenID Connect provider.
  • Import and export. A Notion export, or a zipped Obsidian vault or folder of Markdown, becomes a
    workspace; a workspace exports as one .stuga.zip of Markdown, JSON Lines and its files.

The built-in co-author's edits arriving as suggestions, accepted and rejected one by one

Connect your agents

Agents connect over MCP. Settings → Your AI agents gives the setup for Claude Code,
Claude Desktop, Codex, Antigravity, Cursor, VS Code, Kiro, Goose, LM Studio, DeepSeek Harness and Pi,
with your node's address filled in, and the URL any other MCP client needs
(docs/agents.md). Each agent brings its own model, so the node needs no AI key.

  • Scoped sign-in. Most clients sign in through the browser, where you tick the workspaces an app
    may use and choose Read only or Read and suggest changes. Revoke ends its access.
  • Narrow keys. A client without sign-in uses an API key, which can be confined to folders, made
    read-only or given an expiry.
  • Content only. Agents change documents and databases. Renaming, moving, deleting, sharing and
    the review setting stay with people.
  • Full audit. Every MCP call, reads included, is in the workspace's audit log. An event feed
    and signed webhooks report what changed.

Your data

Stuga sends no telemetry, and nothing reaches us unless a node admin turns on
remote access. The node makes outbound requests only for features in use,
such as an AI provider, and asks GitHub once a day for the list of releases unless a node admin
turns that off. docs/privacy.md lists what the node sends and stores.

Install

  • A Mac with Apple silicon, on macOS 15 or later: open
    the package, or Stuga-<version>.pkg from the
    latest release. It carries its own
    Postgres and Node.js (docs/install/macos.md).

  • Docker on x86-64 or arm64, such as a Linux server or a NAS: install.sh starts Postgres
    and the node with Compose (docs/install/docker.md):

    curl -fsSL https://github.com/stuga-dev/stuga/releases/latest/download/install.sh | bash
    

A node is one Node.js process and Postgres with pgvector; people open it in a browser.
It backs itself up every day by default and before every upgrade
(docs/operations.md). docs/getting-started.md walks
through the first hour.

Questions and feedback

Ask a question or share an idea in Discussions;
report a bug as an issue.

Contributing

Issues and pull requests are welcome. CONTRIBUTING.md covers running Stuga from
source, the tests and the conventions, and RELEASING.md how a release is cut.
Contributions are accepted under a Contributor License Agreement (CLA.md); a bot asks on
your first pull request. Report a vulnerability privately, as SECURITY.md describes.

License

AGPL-3.0-only, except integrations/, which is MIT;
copyright notice in NOTICE. If you modify Stuga and offer it to others over a network, you
share your changes under the same terms. The name and logo are not covered by the license:
TRADEMARKS.md says how you may use them.

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