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Show HN: Rowboat – Open-Source Claude Cowork with an Obsidian Vault

https://www.rowboatlabs.com/
5•segmenta•1h ago
Claude Cowork just launched, bringing agentic AI to everyday work. Rowboat is an open-source alternative that builds knowledge that persists over time.

A quick demo is here: https://youtu.be/T2Bmiy05FrI

It connects to Gmail and meeting notes (Granola, Fireflies) and organizes them into an Obsidian-compatible vault. Plain Markdown files with backlinks, organized around things like people, projects, organizations, and topics. As new emails and meetings come in, the right notes update automatically.

Rowboat is also the primary interface for this vault. You can read, navigate, edit, and add notes directly. It includes a full markdown editor and graph visualization so you can see how context builds up across conversations.

Why not just search transcripts when you need something? Search only answers the questions you think to ask. A system that accumulates context over time can track decisions, commitments, and relationships across conversations, surfacing patterns you didn’t know to look for.

Once this context exists, it becomes knowledge that Rowboat can work with. Because it runs on your machine, it can work directly with local files and run shell commands or scripts, including tools like ffmpeg when needed.

The link in the title opens an interactive example graph showing how context accumulates across emails and meetings. We used a founder example because it naturally includes projects, people, and long-running conversations, but the structure applies to any role.

Examples of what you can do with Rowboat: draft emails from accumulated context, prep for meetings by assembling past decisions and enriching them with external research (for example via Exa MCP), organize files and project artifacts on your machine as work evolves, or turn notes into voice briefings via MCP servers like ElevenLabs.

We’re opinionated about noise. We prioritize recurring contacts, active projects, and ongoing work, and ignore one-off emails and notifications. The goal is long-lived knowledge that compounds over time.

All data is stored locally as plain Markdown. You can use local models via Ollama or LM Studio, or a hosted model. Apache-2.0 licensed.

GitHub: https://github.com/rowboatlabs/rowboat

Curious how this fits into your current workflow for everyday work.

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Show HN: Rowboat – Open-Source Claude Cowork with an Obsidian Vault

https://www.rowboatlabs.com/
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