// productivity · rowboatlabs/rowboat

rowboat

rowboat es un proyecto de productividad de código abierto de rowboatlabs (rowboatlabs/rowboat en GitHub). Tiene 18.002 estrellas en GitHub y 1.796 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 8 de octubre de 2026.

An AI coworker with long-lived memory and multiplayer collaboration spaces

★ 18,0k estrellas⑂ 1,8k bifurcacionesApache-2.0actualizado oct 2026
▦ visual: el README de este proyecto no incluye ninguna captura incrustable,
así que aquí va un marcador. La guía de abajo está completa de todos modos.
// datos del proyecto

Datos del proyecto

Estrellas en GitHub
18.002
Bifurcaciones
1.796
Licencia
Apache-2.0
Última actualización en GitHub
8 de octubre de 2026
Categoría
Productividad
Tipo de ficha
Guía de instalación completa
Sitio oficial
Official site
// cómo funciona

Cómo funciona

  1. Decide solo or team

    Use the desktop app alone, or run Harbor to give your team a shared Space.

  2. Get Rowboat

    Download the app for your OS from the project site or the GitHub releases page.

  3. Connect your model and tools

    Bring your own model (local via Ollama/LM Studio or a hosted key) and optionally connect Google services and MCP tools.

  4. Start your first thread

    Ask Rowboat something in a thread and watch it build durable notes as it works.

// características

Por qué gusta tanto

Long-lived memory

Knowledge accumulates as editable Markdown notes instead of starting cold from retrieval every session.

Multiplayer Spaces

Shared spaces where a room sees the ask, the working indicator and the result in-thread.

Bring any agent

Harbor exposes HTTP, WebSocket and MCP doors with no privileged path - your own agents use the same MCP access as Rowboat's.

Bring your own model

Use local models via Ollama or LM Studio, or hosted models with your own API key.

MCP tool extensions

Connect external MCP servers (the README shows a Parallel web-search example) subject to your tool permissions.

Local-first design

Personal data is stored locally as plain Markdown, and team deploys use your own OIDC sign-in and invites.

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// ejecútalo

Ejecútalo tú mismo

  1. Clone the repository

    Get the source code from GitHub and enter the project directory.

    git clone https://github.com/rowboatlabs/rowboat.git
    cd rowboat
  2. Download the app

    Installers for Mac, Windows and Linux are published on the project site and GitHub releases.

    # Download from the project site or the repo's latest release page
  3. Or run your own Harbor

    For teams, build the Harbor image from the included Dockerfile and configure your domain and OIDC issuer.

    # See the 'Run your own Harbor' section of the README for environment variables
// casos de uso

Qué puedes crear

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// preguntas frecuentes

Preguntas frecuentes

Who maintains this project?

It is maintained by Rowboat Labs (rowboatlabs) on GitHub.

Is it free to use?

Yes - Rowboat is Apache-2.0 licensed and free to use and self-host.

Does it need a paid API key?

No Rowboat fee: bring your own model - free local models via Ollama/LM Studio, or your own hosted API keys.

How does it compare to alternatives?

Compared with chatbots that search transcripts on demand, Rowboat maintains explicit, editable long-lived knowledge; compared with single-user assistants, its Spaces are multiplayer by design.

How do I get started?

Download the app, connect a model, and start a thread - or run Harbor with Docker for a team Space.

// sigue explorando

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// alternativas

Alternativas en Productividad

Los demás proyectos de Productividad con más estrellas del catálogo de LibreAI: la lista realista de alternativas si rowboat no es lo que buscas.

// más en productivity

Más en Productividad

Proyectos de Productividad cercanos en el catálogo, los más próximos en estrellas a rowboat: sigue explorando a ambos lados.

Consigue rowboat

Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.