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Open-source AI coworker, with memory https://www.rowboatlabs.com
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Ramnique Singh 49e1e99d16 fix(x/renderer): load headless transcripts via the turn runtime 
Background-task and live-note history views called the legacy runs:fetch
for ids that are now turn ids (ENOENT after stage 6). New shared loader
src/lib/agent-transcript.ts fetches sessions:getTurn first and falls
back to runs:fetch so pre-migration histories stay readable (fallback
dies with the runs runtime in stage 7); turn transcripts render through
the same buildTurnConversation used by the chat views. Unit-tested
(turnToTranscript mapping + failure surfacing).

The chat-log download used runs:downloadLog with what is now a session
id. Added sessions:downloadLog (concatenates the session's turn logs
into one JSONL via the save dialog); the sidebar tries it first and
falls back to runs:downloadLog for legacy background tabs.

Remaining renderer runs:* callers are code-mode only (use-code-chat,
runs:events feed) — the deliberate stage-7 carve-out.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-02 14:20:44 +05:30
.github/workflows Fix/GitHub workflow (#638) 2026-06-23 23:25:19 +05:30
apps fix(x/renderer): load headless transcripts via the turn runtime 2026-07-02 14:20:44 +05:30
assets Readme updates (#58) 2025-04-03 23:35:15 +05:30
.env.example Run mongodb in docker 2025-04-07 13:30:27 +05:30
.gitattributes Mega UI revamp 2025-04-03 17:56:31 +05:30
.gitignore chore: remove meeting-prep PLAN.md from repo (keep local-only) (#652) 2026-07-02 00:44:28 +05:30
AGENTS.md feat(x): agent snapshot inheritance, session inspection, runtime docs 2026-07-02 14:20:44 +05:30
build-electron.sh wip-electron 2026-01-16 12:05:33 +05:30
CLAUDE.md feat(x): agent snapshot inheritance, session inspection, runtime docs 2026-07-02 14:20:44 +05:30
docker-compose.yml merge job workers 2025-08-17 11:06:53 +05:30
Dockerfile.qdrant improve embedding index docs and setup 2025-05-09 09:38:09 +05:30
google-setup.md feat(oauth): switch Google OAuth from PKCE to authorization code flow with client secret 2026-04-10 00:43:34 +05:30
LICENSE Fill license placeholder 2025-01-31 16:29:39 +05:30
README.md Update Readme (#644) 2026-06-24 23:47:13 +05:30
start.sh Revert auth related changes to start.sh 2025-09-16 16:55:29 +04:00

README.md

Rowboat

A desktop AI coworker with a memory of your work and built-in surfaces to act on it.

rowboatlabs/rowboat | Trendshift

Website Discord Twitter Y Combinator

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

Screenshot 2026-06-24 at 11 40 45 PM

Demo - email to code · Demo - knowledge graph

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

Overview

Brain

Rowboat indexes email, meetings, slack and assistant conversations into a living Obsidian-style backlinked knowledge graph. 		Screenshot 2026-06-24 at 11 22 52 PM

Email

The built-in email client sorts emails into important and everything else. Rowboat automatically drafts responses for important email using all the work context. 		Email screenshot

Background agents

You 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. 		Background agents screenshot

Built-in Browser

Rowboat 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. 		Browser screenshot

Meeting Notes

A 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. 		Meeting notes screenshot

Code Mode

Code 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. 		Code mode screenshot

Integrations

Includes one-click integrations to most popular products. 		Integrations screenshot

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.

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