rowboat

Sat, 11 Apr 2026 15:56:36 +0800

rowboatlabs/rowboat

Rowboat

Open-source AI coworker that turns work into a knowledge graph and acts on it

Rowboat connects to your email and meeting notes, builds a long-lived knowledge graph, and uses that context to help you get work done - privately, on your machine.

You can do things like:

Build me a deck about our next quarter roadmap → generates a PDF using context from your knowledge graph
Prep me for my meeting with Alex → pulls past decisions, open questions, and relevant threads into a crisp brief (or a voice note)
Track a person, company or topic through live notes
Visualize, edit, and update your knowledge graph anytime (it’s just Markdown)
Record voice memos that automatically capture and update key takeaways in the graph

Download latest for Mac/Windows/Linux: Download

⭐ If you find Rowboat useful, please star the repo. It helps more people find it.

Demo

Watch the full video

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:

1
2
3

{
  "apiKey": "<key>"
}

What it does

Rowboat is a local-first AI coworker that can:

Remember the important context you don’t want to re-explain (people, projects, decisions, commitments)
Understand what’s relevant right now (before a meeting, while replying to an email, when writing a doc)
Help you act by drafting, summarizing, planning, and producing real artifacts (briefs, emails, docs, PDF slides)

Under the hood, Rowboat maintains an Obsidian-compatible vault of plain Markdown notes with backlinks — a transparent “working memory” you can inspect and edit.

Integrations

Rowboat builds memory from the work you already do, including:

Gmail (email)
Google Calendar
Rowboat meeting notes or Fireflies

It also contains a library of product integrations through Composio.dev

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.

What you can do with it

Meeting prep from prior decisions, threads, and open questions
Email drafting grounded in history and commitments
Docs & decks generated from your ongoing context (including PDF slides)
Follow-ups: capture decisions, action items, and owners so nothing gets dropped
On-your-machine help: create files, summarize into notes, and run workflows using local tools (with explicit, reviewable actions)

Live notes

Live notes are notes that stay updated automatically. You can create one by typing ‘@rowboat’ on a note.

Track a competitor or market topic across X, Reddit, and the news
Monitor a person, project, or deal across web or your communications
Keep a running summary of any subject you care about

Everything is written back into your local Markdown vault. You control what runs and when.

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.

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

Discord · Twitter

AI Coworker on Producthunt daily