df607ea510
The wire and state layer for the UI cutover; App.tsx integration follows
separately.
- shared/ipc.ts: eleven sessions:* invoke channels + the sessions:events
push feed (SessionBusEvent via z.custom, like runs:events). The generic
preload bridge needs no changes.
- main: sessions:* handlers as thin pass-throughs to the DI'd sessions
service; startSessionsWatcher forwards the session bus to all windows;
startup awaits the session-index scan before the renderer can list.
- renderer architecture per review guidance — all logic in framework-
agnostic, dependency-injected modules; hooks are thin
useSyncExternalStore subscriptions; components will consume pre-digested
view models:
- client.ts: narrow SessionsClient over window.ipc (fakeable).
- feed.ts: one shared sessions:events consumer with fan-out (factory
for tests).
- turn-view.ts: pure derivations — live overlay (deltas accumulate,
canonical events clear), TurnState -> ConversationItem[], and the
session chat state (permission/ask-human maps re-manufactured in the
runs-era shapes so existing components render unchanged;
isProcessing/isThinking contract preserved).
- store.ts: SessionChatStore (seed via getSession/getTurn, shared
reduceTurn over live events, prior-turn freezing, unknown-turn
reconciliation, stale-load guard, action routing) + SessionListStore.
- hooks/useSessionChat + useSessions: thin wrappers, deps injectable.
- renderer test infra added from scratch (vitest + jsdom +
testing-library); 29 tests across stores, pure views, feed, and hooks.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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| .github/workflows | ||
| apps | ||
| assets | ||
| .env.example | ||
| .gitattributes | ||
| .gitignore | ||
| build-electron.sh | ||
| CLAUDE.md | ||
| docker-compose.yml | ||
| Dockerfile.qdrant | ||
| google-setup.md | ||
| LICENSE | ||
| README.md | ||
| start.sh | ||
Rowboat
A desktop AI coworker with a memory of your work and built-in surfaces to act on it.
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
⭐ If you find Rowboat useful, please star the repo. It helps more people find it.
Overview
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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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