I just installed DeepSeek Harness for MacOS and it's a beast. The same great harness as before but now is an app you just click on your dock to run
All settings and workspaces are transferred so you don't lose anything, the only thing it lacks is a way to increase/decrease font size with cmd + and cmd - so I'll work on a plugin for that
I can't be happier
Edit: Asked DSH for a plugin to increase/decrease font and it delivered. Love it. Then asked for a plugin to ring a bell on questions and tasks finished, of course it delivered flawlessly. The same plugin architecture, extensible by the same AI
All LLMs work the same to a certain degree, it's a matter of personal preference, token cost and customization. I asked DSH to build a news aggregator for me and it built a really nice app from 30 news sources via rss feeds for less than 50 cents and presto, reading tech news has never been so gratifying
I feel like I live in another reality from others here; I read people saying things ‘while their jaws are hanging open’ (not said here literally but the feel is the same ; I see it in other threads on HN literally here though); why are we so chuffed with stuff that’s now been one shot for maybe already a year, but definitely the last 6 months? Literally everyone who tried LLMs know this and yet it seems a huge surprise to people here that it is so easy now? And that’s opposite of the people, also very much on HN, who say AI is shit at coding and will not replace humans because humans have to fix its bad code.
It has particularly good observability (the ability to see the full content of every prompt and response and tool call) compared to other harnesses, that's the main thing that stood out to me.
Weird. I don't use the official harnesses by OpenAI or Anthropic but with all others i tried there wasn't a single one that hides any of that. What harnesses did you compare to?
I think what he meant was that it gives you good overall observabiity, over your entire context, kind of how langfuse or these platforms do, but it does so locally. A good philosophy i picked up is how they treat the transcript as the backbone of the product.
Do the same as I did, ask it to develop a plugin to increase/decrease font and you will see results in one single task, dsh-zoom as a plugin, restart and done
Most of this thread seems neutral/skeptical with just that post being obvious. On the other hand the volume of jev threads we have been seeing these past 2 weeks..
Just wait until I add coding to <a href="https://blackbear.app" rel="nofollow">https://blackbear.app... it's going to be ridiculous.
(blackbear.app was developed entirely by a custom harness architecture)
It works with lots of providers, including local ones.
After you log in, click on your name/picture in the bottom left, Settings, Models. Has a huge list of models supported in the dropdown, plus a "custom model API" tab where you put in the name you want, the base URL, the protocol, and your API key.
Did I miss something? A quick search leads me to this:
>DeepSeek Harness (dsh) is an open-source agent harness developed by DeepSeek AI.
>It is built on an everything-is-a-plugin architecture and powered by Cordis, whose design is described in A Programming Paradigm for Spatiotemporal Composability.
Now, this could simply be an attempt at sarcasm but it's getting really hard to tell. There's a handful of people in this thread saying that DeepSeek Harness is closed source.
Kuyawa · · focus · HN ↗
All settings and workspaces are transferred so you don't lose anything, the only thing it lacks is a way to increase/decrease font size with cmd + and cmd - so I'll work on a plugin for that
I can't be happier
Edit: Asked DSH for a plugin to increase/decrease font and it delivered. Love it. Then asked for a plugin to ring a bell on questions and tasks finished, of course it delivered flawlessly. The same plugin architecture, extensible by the same AI
johng · · focus · HN ↗
I'm not sure what you mean by it's a beast.
Kuyawa · · focus · HN ↗
pylotlight · · focus · HN ↗
zarmin · · focus · HN ↗
konart · · focus · HN ↗
zarmin · · focus · HN ↗
anonzzzies · · focus · HN ↗
johng · · focus · HN ↗
cjbprime · · focus · HN ↗
inexcf · · focus · HN ↗
adammarples · · focus · HN ↗
dante54 · · focus · HN ↗
logicchains · · focus · HN ↗
ycui7 · · focus · HN ↗
Kuyawa · · focus · HN ↗
sroerick · · focus · HN ↗
fakwandi_priv · · focus · HN ↗
sroerick · · focus · HN ↗
dudisubekti · · focus · HN ↗
Check GPT-6 thread for example, now that's Astra-turfed lol.
gigatexal · · focus · HN ↗
hypfer · · focus · HN ↗
chvid · · focus · HN ↗
eru · · focus · HN ↗
rheisen_ · · focus · HN ↗
(blackbear.app was developed entirely by a custom harness architecture)
proc0 · · focus · HN ↗
BrentOzar · · focus · HN ↗
After you log in, click on your name/picture in the bottom left, Settings, Models. Has a huge list of models supported in the dropdown, plus a "custom model API" tab where you put in the name you want, the base URL, the protocol, and your API key.
proc0 · · focus · HN ↗
JKCalhoun · · focus · HN ↗
IGNORE: Now, if only DeepSeek Harness were open source…
(EDIT: DeepSeek Harness is open source—I missed it).
orangeboats · · focus · HN ↗
>DeepSeek Harness (dsh) is an open-source agent harness developed by DeepSeek AI.
>It is built on an everything-is-a-plugin architecture and powered by Cordis, whose design is described in A Programming Paradigm for Spatiotemporal Composability.
<a href="https://github.com/deepseek-ai/deepseek-harness" rel="nofollow">https://github.com/deepseek-ai/deepseek-harness
Now, this could simply be an attempt at sarcasm but it's getting really hard to tell. There's a handful of people in this thread saying that DeepSeek Harness is closed source.