This looks and works great, super impressed. This is what Siri/Apple AI should be like.
One concern I have is about sending private info to Anthropic. So it would be great to have the option to use local AI.
Local options should support the OpenAI API that seemingly is the standard for these connections, as provided by Llama.app and Unsloth Studio for example. That way one could run against a local model and keep personal information private.
That of course begs the question if a local model is smart enough for the tasks at hand.
I'm also trying out OOMU, a similar but closed source personal assistant app for MacOS. It emphasizes privacy with local models, and even has an 'Airplane' mode. The app has a built in llama.cpp server and uses Gemma-4-4B, their own router model plus a vision model.
Most daily commands like launching and moving around sites/apps happen without AI, but I agree with the privacy concern and will definitely look into utilizing local AI.
Smaller models, like Haiku, I have found to already struggle during multi-step tasks, so I expect local model capabilities to reduce performance further.
I'll look into how OOMU splits their work up, but what local model would you suggest starting with?
I would probably run qwen 27B or qwen fn but I would run the actual inference on one of my other boxes and not on actual desktop so initially it could be sufficient if you just enabled openai or anthropic compatible endpoint.
I don’t want to be a jerk, but I’m wondering how you managed to access Claude considering the terms of service prohibit someone under 18 signing up and also prohibit account sharing.
(I bring this up because I think these are bad terms. People under 18 should be allowed to learn how to code and use agents.)
Clever to record-once and replay without AI. How do you notice when a saved shortcut has gone stale? If app update moves button or change other UI elements, maybe some new alert dialog? Does it detect failure and put it back to claude to record it again?
Will this work on the Windows as well or just for mac users. by the way really like it from what I can see it from the demo video. If it works as it shown and also I dont thinks so that it is for windows would love if you can clear this out.
I liked the idea and forked the original, for is only proven to work on my local but can be run by others, also build out integrations so I can have it work with common homelab services and MCPs
This looks and works great, super impressed. This is what Siri/Apple AI should be like.
One concern I have is about sending private info to Anthropic. So it would be great to have the option to use local AI.
Local options should support the OpenAI API that seemingly is the standard for these connections, as provided by Llama.app and Unsloth Studio for example. That way one could run against a local model and keep personal information private.
That of course begs the question if a local model is smart enough for the tasks at hand.
I'm also trying out OOMU, a similar but closed source personal assistant app for MacOS. It emphasizes privacy with local models, and even has an 'Airplane' mode. The app has a built in llama.cpp server and uses Gemma-4-4B, their own router model plus a vision model.
Thank you so much!
Most daily commands like launching and moving around sites/apps happen without AI, but I agree with the privacy concern and will definitely look into utilizing local AI.
Smaller models, like Haiku, I have found to already struggle during multi-step tasks, so I expect local model capabilities to reduce performance further.
I'll look into how OOMU splits their work up, but what local model would you suggest starting with?
I would probably run qwen 27B or qwen fn but I would run the actual inference on one of my other boxes and not on actual desktop so initially it could be sufficient if you just enabled openai or anthropic compatible endpoint.
Can this work against a cheaper cloud LLM like Deepseek? https://api-docs.deepseek.com/quick_start/agent_integrations...
Screencast looks great btw.
I don’t want to be a jerk, but I’m wondering how you managed to access Claude considering the terms of service prohibit someone under 18 signing up and also prohibit account sharing.
(I bring this up because I think these are bad terms. People under 18 should be allowed to learn how to code and use agents.)
I have been looking for this kind of thing on Linux. Any one have anything that works well?
Clever to record-once and replay without AI. How do you notice when a saved shortcut has gone stale? If app update moves button or change other UI elements, maybe some new alert dialog? Does it detect failure and put it back to claude to record it again?
This slaps, I burned some credits on a fork that works for windows https://github.com/FindlayHi/atticus-windows
Awesome! I'll be sure to link your fork in my readme. I'm curious what problems arose when you ported it?
Will this work on the Windows as well or just for mac users. by the way really like it from what I can see it from the demo video. If it works as it shown and also I dont thinks so that it is for windows would love if you can clear this out.
I liked the idea and forked the original, for is only proven to work on my local but can be run by others, also build out integrations so I can have it work with common homelab services and MCPs
https://github.com/FindlayHi/atticus-windows
This is great, can we get OpenCode?
Thank you! I'll probably be focusing on polishing the Claude side of things, but that'll definitely be an add-on in the future.