Rowboat indexes your work into a living knowledge graph and uses that to get work done on your machine. It includes work surfaces for collaborating with AI: email client, notes, browser, code mode, meeting note taker, and workspaces for different projects.

Download latest for Mac/Windows/Linux: Download

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Overview

Installation

Download latest for Mac/Windows/Linux: Download

All release files: https://github.com/rowboatlabs/rowboat/releases/latest

Google setup

To connect Google services (Gmail, Calendar, and Drive), follow Google setup.

Voice input

To enable voice input and voice notes (optional), add a Deepgram API key in ~/.rowboat/config/deepgram.json

Voice output

To enable voice output (optional), add an ElevenLabs API key in ~/.rowboat/config/elevenlabs.json

Web search

To use Exa research search (optional), add the Exa API key in ~/.rowboat/config/exa-search.json

External tools

To enable external tools (optional), you can add any MCP server or use Composio tools by adding an API key in ~/.rowboat/config/composio.json

All API key files use the same format:

{
  "apiKey": "<key>"
}

How it’s different

Most AI tools reconstruct context on demand by searching transcripts or documents.

Rowboat maintains long-lived knowledge instead:

  • context accumulates over time
  • relationships are explicit and inspectable
  • notes are editable by you, not hidden inside a model
  • everything lives on your machine as plain Markdown

The result is memory that compounds, rather than retrieval that starts cold every time.

Bring your own model

Rowboat works with the model setup you prefer:

  • Local models via Ollama or LM Studio
  • Hosted models (bring your own API key/provider)
  • Swap models anytime — your data stays in your local Markdown vault

Extend Rowboat with tools (MCP)

Rowboat can connect to external tools and services via Model Context Protocol (MCP). That means you can plug in (for example) search, databases, CRMs, support tools, and automations - or your own internal tools.

Examples: Exa (web search), Twitter/X, ElevenLabs (voice), Slack, Linear/Jira, GitHub, and more.

Example: Parallel web search

Parallel Search MCP provides web_search and web_fetch for public web search and page extraction without a Parallel account or API key. Free access is rate limited.

Open Settings → MCP Servers, add the parallel entry to your existing mcpServers object, and click Save. Keep any other server entries. If no servers are configured, use:

{
  "mcpServers": {
    "parallel": {
      "url": "https://search.parallel.ai/mcp"
    }
  }
}

This connects through Rowboat's existing Streamable HTTP client. Ask Rowboat to list the tools on the parallel server, then try: "Use Parallel to find the official MCP documentation."

Once configured, Rowboat can invoke these tools during its work, subject to your MCP tool permissions. Queries, requested URLs, and any supplied objectives or context are sent to Parallel. This setup leaves Exa and other configured providers unchanged. To remove it, delete the parallel entry in Settings → MCP Servers and save.

Local-first by design

  • All data is stored locally as plain Markdown
  • No proprietary formats or hosted lock-in
  • You can inspect, edit, back up, or delete everything at any time

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