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rowboatlabs/rowboat

Open-source AI coworker, with memory

本周新增
148 星
近 3 周倍数
0.7x
距上次推送
237 天
距上次发布
253 天
许可证
Apache-2.0

星标增长

每根柱子是这个周期记录下来的 star 增长:优先取逐个 stargazer 到达时间分桶的到达数,还没被 stargazer 扫描覆盖的仓库改用该周期的 star 净增;两个写者都没记录的周期画成虚线空档,而不是当成 0。柱高按各自窗口的峰值归一,两张图不共用坐标轴。指向任意一根柱子, tooltip 里是该周期的九项指标:当前值与周期内的净增。

指向或点击一根柱子,看当天的九项指标。

2/252/283/23/53/83/113/133/16

2026 年 2 月 27 日 新增 122 个星标; 2026 年 2 月 28 日 新增 47 个星标; 2026 年 3 月 1 日 新增 48 个星标; 2026 年 3 月 2 日 新增 42 个星标; 2026 年 3 月 3 日 新增 35 个星标; 2026 年 3 月 4 日 新增 10 个星标; 2026 年 3 月 5 日 新增 15 个星标; 2026 年 3 月 8 日 新增 48 个星标; 2026 年 3 月 10 日 新增 27 个星标; 2026 年 3 月 11 日 新增 8 个星标; 2026 年 3 月 16 日 新增 148 个星标

窗口内最高的一天是 2026 年 3 月 16 日,新增 148 个星标。

证据时间轴

  1. 第 2026 年第 9 周发布 2 次

    累计 60 个 release

README
The document stored for this repository, with its Chinese translation when one has been produced
rowboat-github-2

rowboatlabs/rowboat | Trendshift

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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)
  • 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

Demo

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 notes

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

{
  "apiKey": "<key>"
}

Web search

To use Brave web search (optional), add the Brave API key in ~/.rowboat/config/brave-search.json.

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

(same format as above)

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)
  • Granola (meeting notes)
  • Fireflies (meeting notes)

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)

Background agents

Rowboat can spin up background agents to do repeatable work automatically - so routine tasks happen without you having to ask every time.

Examples:

  • Draft email replies in the background (grounded in your past context and commitments)
  • Generate a daily voice note each morning (agenda, priorities, upcoming meetings)
  • Create recurring project updates from the latest emails/notes
  • Keep your knowledge graph up to date as new information comes in

You control what runs, when it runs, and what gets written back into your local Markdown vault.

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

页面上的每个数字都来自记录下来的 stargazer 到达时间,没有评分公式,也没有 AI 判定。 任何结论都可以用 /api/v1/repos/{id}/stats 里的原始增量自己重算。