Rowboat Labs

Fastest way to build reliable agents. GitHub: Try for free:

[Rowboat Labs @rowboatlabshq]

We're the #1 trending TypeScript repo on GitHub!

Rowboat is a local‑first AI coworker that turns your work into a knowledge graph and acts on it.
It connects to email + meeting notes, builds long‑lived context, and helps you draft, plan, and create real artifacts — all on your machine as Markdown.

Repo: https://t.co/89J6UAQSFa
What should we ship next?

[Elon Musk @elonmusk]

Product >> Brand

[segmenta @segmenta]

We built Rowboat around the idea that the most important metric for AI intelligence moving forward is how many tokens the human has to expend before the AI 'gets them'.

Today we launched it on Product Hunt. Would love your support! https://t.co/ekZcnk5BEO

[Aaron Levie @levie]

This is counterintuitive for some, which is why there’s a paradox named after it. But if you lower the cost of something that was previously supply constrained, demand for that thing goes up. Software engineering is just one of the easiest examples to contemplate.

The process goes like this: every small business, every IT team, every large enterprise sees that engineering can now drive vastly more output. They then start to consider all the new things they can build or automate. They even test building prototypes themselves.

They only get so far with that approach because they realize there are still 50 other tasks that go into building software and maintaining it. So they start to hire more engineers to do that work. All of this for work they never would have considered automating or having software for if AI didn’t exist.

So yes, automating tasks, in plenty of fields, will lead to demand for experts, not less.

[Rimsha Bhardwaj @heyrimsha]

🚨BREAKING: Someone just built an AI coworker that actually remembers everything you've discussed.

It's called Rowboat and it builds a knowledge graph from your work and runs 100% locally.

- Connects Gmail, Calendar, Drive, meeting notes
- Runs 100% locally (your data never leaves your machine)
- Generates PDFs, briefs, emails from your context
- Plain Markdown files you can edit anytime

4.6K stars. 100% Opensource.

[Ihtesham Ali @ihteshamali]

🚨BREAKING: Someone built an AI coworker that actually remembers everything you've discussed.

It's called Rowboat and it builds a knowledge graph from your work.

- Connects Gmail, Calendar, Drive, meeting notes
- Runs 100% locally (your data never leaves your machine)
- Generates PDFs, briefs, emails from your context
- Plain Markdown files you can edit anytime

4.6K stars. 100% Opensource.

[Simplifying AI @simplifyinAI]

A local AI coworker that actually remembers everything 🤯

Rowboat is a new open-source AI coworker that remembers everything you’ve discussed, without sending a single byte to the cloud.

- 100% Local
- Zero Data Leakage

Gmail, Calendar, Drive, Notes.. it connects them all.

100% Open Source.

[segmenta @segmenta]

Rowboat in action creating the knowledge graph!

[Rowboat Labs @rowboatlabshq]

We just launched RowboatX - an open-source CLI inspired by Claude Code, but for background agents (non-code tasks).

It runs agents locally with shell access, connects to any MCP server, and automates anything you could do in a terminal.

Show HN (live now): https://t.co/lqZByQGQsD

[Paul Graham @paulg]

Prediction: LLMs in their current form may not be able to do everything, but AI now has enough momentum that this won't matter. Beam engines couldn't do everything either, but they were enough to set off the Industrial Revolution.

[Rowboat Labs @rowboatlabshq]

@thecto I believe X moved to GCP long back when it was still Twitter.

[Rowboat Labs @rowboatlabshq]

@ruslanjabari boredom!

[Rowboat Labs @rowboatlabshq]

@benln Yep! working on this

[Rowboat Labs @rowboatlabshq]

@icanvardar We literally refused delivery of an m4 pro macbook yesterday - but regretting it a bit now given the 32GB limit on the M5.

[Rowboat Labs @rowboatlabshq]

Rowing through the AI wave 🌊

[Rowboat Labs @rowboatlabshq]

Build real-world agents without flowcharts!

[Rowboat Labs @rowboatlabshq]

@kimmonismus 24/7 > 996

[Rowboat Labs @rowboatlabshq]

24/7 > 996

[Chubby♨️ @kimmonismus]

Greg Brockman on AI-designed chips and the future of compute

>openai used their own models to design their chips, faster and probably better than human engineers

>in the future everyone would have an agent that works 24/7 for them. Restriction: compute, at the moment

[Chubby♨️ @kimmonismus]

Greg Brockman on AI-designed chips and the future of compute

>openai used their own models to design their chips, faster and probably better than human engineers

>in the future everyone would have an agent that works 24/7 for them. Restriction: compute, at the moment

[Simon Willison @simonw]

My notes on nanochat, including links to the training data it uses https://t.co/rYDylb2P1c