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
Demo - email to code · Demo - knowledge graph
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BrainRowboat indexes email, meetings, slack and assistant conversations into a living Obsidian-style backlinked knowledge graph. |
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Background agentsYou can set up background agents that run on events like new email or on schedule like every day at 8am. They can connect to tools, search the web, use the browser and write code using Claude Code or Codex. |
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Built-in BrowserRowboat includes a browser that lets you and assistant collaborate on web tasks. Because its isolated from your main browser, you can log in only to the accounts that want the assistant to access. |
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Meeting NotesA local meeting note-taker that taps into mic & speaker, produces live transcript and summarizes the meeting in a markdown file and updates the knowledge graph. |
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Code ModeCode mode lets you spin up parallel coding agents with Claude Code or Codex, and have Rowboat drive them with all the work context where needed. |
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IntegrationsIncludes one-click integrations to most popular products. |
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Download latest for Mac/Windows/Linux: Download
All release files: https://github.com/rowboatlabs/rowboat/releases/latest
To connect Google services (Gmail, Calendar, and Drive), follow Google setup.
To enable voice input and voice notes (optional), add a Deepgram API key in ~/.rowboat/config/deepgram.json
To enable voice output (optional), add an ElevenLabs API key in ~/.rowboat/config/elevenlabs.json
To use Exa research search (optional), add the Exa API key in ~/.rowboat/config/exa-search.json
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>"
}
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.
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
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.
$ claude mcp add rowboat \
-- python -m otcore.mcp_server <graph>