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segmenta
searching PlanetScale…
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61.
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segmenta
8mo ago
Thanks! All the knowledge is stored in Markdown files on disk. You can edit them through the Rowboat UI (including the backlinks) or any editor of your choice. You can use the built in AI to edit it as well. On background tasks - there is a
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Show HN: Rowboat – AI coworker that turns your work into a knowledge graph (OSS)
(github.com)
205 points
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segmenta
8mo ago
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56 comments
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GPTZero finds 100 new hallucinations in NeurIPS 2025 accepted papers
(gptzero.me)
937 points
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segmenta
9mo ago
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507 comments
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Show HN: Rowboat – Open-Source Claude Cowork with an Obsidian Vault
(rowboatlabs.com)
7 points
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segmenta
9mo ago
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0 comments
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segmenta
11mo ago
That’s great to know. I’ve come to the same conclusion. I’ve found that things work best when they happen right where I’m already working. Uploading files or recreating context in a web service adds friction, especially when everything is a
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segmenta
11mo ago
Ah, that makes sense. I’ve had similar luck with UI refactoring on cheaper models, mainly because you can quickly verify whether the output is right.
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segmenta
11mo ago
Came across this interesting article on the internals of Claude Code: https://medium.com/@outsightai/peeking-under-the-hood-of-cla... . The author redirected the LLM calls into LiteLLM to analyze how it behaves.
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segmenta
11mo ago
Ah, that’s interesting. Are there any parts of Claude Code that you feel could work differently or get in your way for these kinds of tasks?
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segmenta
11mo ago
Will check out Grok Code Fast - thanks for the pointer. In my experience, coding agents can swing a lot in quality depending on the model’s reasoning power. When the model starts making small but avoidable mistakes, the overhead tends to ca
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segmenta
11mo ago
We’ve included the exact agents used in the demo here for reference: https://github.com/rowboatlabs/rowboat/blob/cli/apps/cli/exa... . We’re adding an easier way to run examples soon. In the mea
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segmenta
11mo ago
Cline is great, but it’s primarily focused on coding workflows, similar to Claude Code. RowboatX is aimed at a different category: background agents for non-coding automations (e.g. meeting prep, daily briefings, etc). The big difference fr
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segmenta
11mo ago
In the demo - for the voice and music, it uses the ElevenLabs MCP server for TTS, and ffmpeg locally to stitch the audio together. In the demo we pull content from Tweets via an MCP tool, but you can swap that step for anything — for exampl
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segmenta
11mo ago
Thanks, that makes sense. I assume the CLI approach might be the main hurdle for end users?
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segmenta
11mo ago
Thanks! Curious what kinds of workflows you are automating right now and any pain points you’ve run into.
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segmenta
11mo ago
Fixed the quick start instructions to not start with OpenAI.
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segmenta
11mo ago
Yeah, I think when they made the bet it genuinely made sense. But in coding workflows, once models got cheaper, people did not spend less. They just started packing way more LLM calls into a single turn to handle complex agentic coding step
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segmenta
11mo ago
Ah did not realize this - good to know!
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segmenta
11mo ago
For example, the NotebookLM-style podcast generator workflow in our demo uses around 3k tokens end to end. Using Claude Sonnet 4.5’s blended rate (about $4.5 per million tokens for typical input/output mix), you can run this every day
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segmenta
11mo ago
Yep, totally agree. We actually had an earlier web version, and the big learning was that without access to code-related tools the agent feels pretty limited. That pushed us toward a CLI where it can use the full shell and behave more like
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segmenta
11mo ago
Yep, this is a fair take. Token usage shoots up fast when you do agentic stuff for coding. I too end up doing the same thing. But for most background automations your might actually run, the token usage is way lower and probably an order of
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segmenta
11mo ago
Yes - you can use local LLMs through LiteLLM and Ollama. Would you like us to support anything else?
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Show HN: RowboatX – open-source Claude Code for everyday automations
(github.com)
131 points
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segmenta
11mo ago
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42 comments
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Handoffs vs. flowcharts for agents, in light of OpenAI's visual builder
(blog.rowboatlabs.com)
3 points
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segmenta
1y ago
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1 comments
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segmenta
1y ago
Context: Posting this after yesterday’s OpenAI visual agent builder announcements. The link is not vendor specific; it isolates one design choice in the visual layer: static flowcharts vs runtime handoffs with full history. Scope: We are co
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segmenta
1y ago
Context: Posting this after today’s OpenAI visual agent builder announcements. The link is not vendor specific; it isolates one design choice in the visual layer: static flowcharts vs runtime handoffs with full history. Scope: We are compar
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Handoffs vs. flowcharts for agents, in light of OpenAI's visual builder
(blog.rowboatlabs.com)
3 points
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segmenta
1y ago
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2 comments
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segmenta
1y ago
Yeah, flowchart style does have that advantage since you can add in approvals and conditions. The tradeoff is you end up limited to simpler logical flows that are easier to verify. Our take is that trust in agent systems has to be empirical
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segmenta
1y ago
Fair point. We went lighter so it didn’t feel heavy/overly enterprise, but I get that it can come off playful. We’ll keep iterating on the design.
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segmenta
1y ago
Thanks! No, the instructions are not compiled into a flowchart under the hood. We use OpenAI’s agent SDK and use handoffs as a mechanism to transfer control between agents. There are 3 types of agents in Rowboat: 1. Conversational agents ar
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segmenta
1y ago
Not sure if this came through in the post, but with Rowboat we’re taking a strong stance: flowchart-style agent builders are useful today, but we believe they won’t scale with how LLMs are evolving. As models get better at reasoning, you sh
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