Say what you will, but AI really does feel like living in the future. As far as the project is concerned, pretty neat, but I'm not really sure about calling it "local-first" as it's still reliant on an `ANTHROPIC_API_KEY`.
I do think that local-first will end up being the future long-term though. I built something similar last year (unreleased) also in Rust, but it was also running the model locally (you can see how slow/fast it is here[1], keeping in mind I have a 3080Ti and was running Mistral-Instruct).
I need to re-visit this project and release it, but building in the context of the OS is pretty mindblowing, so kudos to you. I think that the paradigm of how we interact with our devices will fundamentally shift in the next 5-10 years.
Ah true, missed that! Still a bit cumbersome & lazy imo, I'm a fan of just shipping with that capability out-of-the-box (Huggingface's Candle is fantastic for downloading/syncing/running models locally).
Ah come on, lazy? As long as it works with the runtime you wanna use, instead of hardcoding their own solution, should work fine. If you want to use Candle and have to implement new architectures with it to be able to use it, you still can, just expose it over HTTP.
Can someone explain to me why this needs to connect to LLM providers like OpenAI or Anthropic? I thought it was meant to be a local GPT. Sorry if i misunderstood what this project is trying to do.
Does this mean the inference is remote and only context is local?
It doesn't. It has to connect to SOME LLM provider, but that CAN also be local Ollama server (running instance). The choice ALWAYS need to be present since, depending on your use case, Ollama (local machine LLM) could be just right, or it could be completely unusable, in which case you can always switch to data center size LLMs.
The ReadMe gives only a Antropic version example, but, judging by the source code [1], you can use other providers, including Ollama, just by changing the syntax of that one config file line.
Made a quick bot app (OC clone). For me I just want to iMessage it - but do not want to give Full Disk rights to terminal (to read the imessage db).
Uses Mlx for local llm on apple silicon. Performance has been pretty good for a basic spec M4 mini.
Nor install the little apps that I don't know what they're doing and reading my chat history and mac system folders.
What I did was create a shortcut on my iphone to write imessages to an iCloud file, which syncs to my mac mini (quick) - and the script loop on the mini to process my messages. It works.
Wonder if others have ideas so I can iMessage the bot, im in iMessage and don't really want to use another app.
I wish this was an effective deterrent against posting low effort slop, but it isn't. Vibe coders are actively proud of the fact that they don't put any effort into the things they claim to have created.
I am excited to see more competitors in this space. Openclaw feels like a hot mess with poor abstractions. I got bit by a race condition for the past 36 hours that skipped all of my cron jobs, as did many others before getting fixed. The CLI is also painfully slow for no reason other than it was vibe coded in typescript. And the errors messages are poor and hidden and the TUIs are broken… and the CLI has bad path conventions. All I really want is a nice way to authenticate between various APIs and then let the agent build and manage the rest of its own infrastructure.
I do think that local-first will end up being the future long-term though. I built something similar last year (unreleased) also in Rust, but it was also running the model locally (you can see how slow/fast it is here[1], keeping in mind I have a 3080Ti and was running Mistral-Instruct).
I need to re-visit this project and release it, but building in the context of the OS is pretty mindblowing, so kudos to you. I think that the paradigm of how we interact with our devices will fundamentally shift in the next 5-10 years.
[1] https://www.youtube.com/watch?v=tRrKQl0kzvQ
See here:
https://github.com/localgpt-app/localgpt/blob/main/src%2Fage...
Does this mean the inference is remote and only context is local?
The ReadMe gives only a Antropic version example, but, judging by the source code [1], you can use other providers, including Ollama, just by changing the syntax of that one config file line.
[1] https://github.com/localgpt-app/localgpt/blob/main/src%2Fage...
https://github.com/localgpt-app/localgpt/blob/main/src%2Fage...
Uses Mlx for local llm on apple silicon. Performance has been pretty good for a basic spec M4 mini.
Nor install the little apps that I don't know what they're doing and reading my chat history and mac system folders.
What I did was create a shortcut on my iphone to write imessages to an iCloud file, which syncs to my mac mini (quick) - and the script loop on the mini to process my messages. It works.
Wonder if others have ideas so I can iMessage the bot, im in iMessage and don't really want to use another app.
Your docs and this post is all written by an LLM, which doesn't reflect much effort.
I wish this was an effective deterrent against posting low effort slop, but it isn't. Vibe coders are actively proud of the fact that they don't put any effort into the things they claim to have created.
You are a deeply creative person. We should all try like that.
Started my career designing/prototyping expansion cards for telecom blade boards.
I have built homes from foundation up, rebuilt cars from frame up.
I have contributed artisanal code from hardware drivers to GUI.
I have experience with hard things. SWE is not hard, just time-consuming.
Always a laugh when some non-contributor office worker exploiting sweatshop labor calls others low-effort.
For years SWEs have been so many layers of abstraction above the machine, SWE has been basic bitch data entry.
You got used as a political prop/pawn during ZIRP/money printer go brrr era. Womp womp.
Will keep training/leveraging LLMs and look forward to future hardware that further reduces the need to subject myself to useless middle-man SWEs.
It's just electrons in a machine. None of the gibberish SaaS conjured up matters.
I assume I could just adjust the toml to point to deep seek API locally hosted right?