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Show HN: I made an app to use local AI as daily driver

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Re: Show HN: I made an app to use local AI as daily driver

#111
Thank you for the work.

Please take this in a nice way: I can't see why I would use this over ChatbotUI+Ollama https://github.com/mckaywrigley/chatbot-ui

Seem the only advantage is having it as MacOS native app and only real distinction is maybe fast import and search - I've yet to try that though.

ChatbotUI (and other similar stuff) are cross-platform, customizable, private, debuggable. I'm easily able to see what it's trying to do.

Re: Show HN: I made an app to use local AI as daily driver

#112

Earlier quoted context omitted.

You can update the system prompt in the settings. Admittedly this is not mentioned in the README, but is customizable.

> the system prompt There isn't a singular system prompt. It really does matter! Copy the OpenAI playground, you'll thank yourself later

Fair point, and it's not implemented that way currently. It's more like "custom instructions" but thanks for pointing that out. I haven't used multiple system prompts in the OpenAI playground either, so I hadn't given it much thought.

Re: Show HN: I made an app to use local AI as daily driver

#113
post #75
post #13

Earlier quoted context omitted.

Yes it would be the next big focus on this. Personal data connectivity is what I see where local AI would excel - despite model power differences.

I have doubts about that. Most personal data actually lives in the cloud these days. If you need your Gmail emails, you'll need to use their API which is guarded behind $50k certification fee or so. I think there is a simpler version for personal use, but you still need to get the API key. Who's going to teach their mom about API keys? So I think for a lot of these data sources you'll end up with enterprise AIs integ…

I think this is a good take. While there's big enough niche for personal data locally, I'd love if there's a way to solve for email/cloud data requiring API keys.

Re: Show HN: I made an app to use local AI as daily driver

#114
post #75
post #13

Earlier quoted context omitted.

Yes it would be the next big focus on this. Personal data connectivity is what I see where local AI would excel - despite model power differences.

I have doubts about that. Most personal data actually lives in the cloud these days. If you need your Gmail emails, you'll need to use their API which is guarded behind $50k certification fee or so. I think there is a simpler version for personal use, but you still need to get the API key. Who's going to teach their mom about API keys? So I think for a lot of these data sources you'll end up with enterprise AIs integ…

Why wouldn't you be able to use IMAP over the gmail api? IMAP returns the text and headers of all your emails, which is what you'd want the LLM to ingest anyway.

Re: Show HN: I made an app to use local AI as daily driver

#116

Sadly I can't try this because I'm on Windows or Linux. Was testing apps like this if anyone is interested: Best / Easy to use: - https://lmstudio.ai - https://msty.app - https://jan.ai More complex / Unpolished UI: - https://gpt4all.io - https://pinokio.computer - https://www.nvidia.com/en-us/ai-on-rtx/chat-with-rtx-generat... - https://github.com/LostRuins/koboldcpp Misc: - https://faraday.dev (AI Characters): No U…

have you seen llamafile[0]?

[0] https://github.com/Mozilla-Ocho/llamafile

Re: Show HN: I made an app to use local AI as daily driver

#117
> Full Text Search. Blazingly fast search over thousands of messages.

Natural language processing has come full circle and just reinvented Ctrl+F.

I had to double check that a regular '90s search function was actually the thing being advertised here, and sure enough, there is a gif demonstrating exactly that.

Re: Show HN: I made an app to use local AI as daily driver

#118
post #111

Thank you for the work. Please take this in a nice way: I can't see why I would use this over ChatbotUI+Ollama https://github.com/mckaywrigley/chatbot-ui Seem the only advantage is having it as MacOS native app and only real distinction is maybe fast import and search - I've yet to try that though. ChatbotUI (and other similar stuff) are cross-platform, customizable, private, debuggable. I'm easily able to see what i…

Not everyone is a dev

Re: Show HN: I made an app to use local AI as daily driver

#119

> Full Text Search. Blazingly fast search over thousands of messages. Natural language processing has come full circle and just reinvented Ctrl+F. I had to double check that a regular '90s search function was actually the thing being advertised here, and sure enough, there is a gif demonstrating exactly that.

Ctrl+F only gets you so far. It doesn't allow you to perform semantic searches, for example. If you don't happen to know a unique word (or set of words) to search for, you're out of luck.

Just the other day, I was able to find a song by typing the phonetic pronunciation (well, as best I could) into ChatGPT, and it knew which song I was talking about right away. No way a regular search engine would've helped me there.

Re: Show HN: I made an app to use local AI as daily driver

#120

Sadly I can't try this because I'm on Windows or Linux. Was testing apps like this if anyone is interested: Best / Easy to use: - https://lmstudio.ai - https://msty.app - https://jan.ai More complex / Unpolished UI: - https://gpt4all.io - https://pinokio.computer - https://www.nvidia.com/en-us/ai-on-rtx/chat-with-rtx-generat... - https://github.com/LostRuins/koboldcpp Misc: - https://faraday.dev (AI Characters): No U…

Since I couldn't find it in your list, I'd like to plug my own macOS (and iOS) app: Private LLM. Unlike almost every other app in the space, it isn't based on llama.cpp (we use mlc-llm) or naive RTN quantized models (we use OmniQuant). Also, the app has deep integrations with macOS and iOS (Shortcuts, Siri, macOS Services, etc). Incidentally, it currently runs Mixtral 8x7B Instruct[2] and Mistral[3] models faster tha…

MacGPT is way handy because of a global keyboard shortcut which opens a spotlight-like prompt. I would love to have a local equivalent
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