Aaryanverma

Your Mac has a hidden LLM. What if you could use it to chat with your own thoughts? Turns out macOS 27 has a built-in LLM that you can access directly through Terminal using fm chat. Even more interesting, fm serve exposes it through an OpenAI-compatible API. No Ollama, no API keys, no separate model downloads (Refer here for LLM setup). Imagine having a personal memory powered entirely by the LLM already sitting inside your Mac. No cloud, no subscriptions, and everything stays local. The idea is simple: dump your random thoughts, notes, ideas, or anything worth remembering. Gray Box (my own open source project) organizes them into a connected Markdown wiki that you can actually have a conversation with. It even traces answers back to your original notes. Everything stays local in plain markdown. Later, you can ask things like: - “What was that idea I had last Tuesday?” - “What did I decide about Project X?” - “How is this related to something I wrote last month?” Since Gray Box already uses LiteLLM, Apple’s built-in model should work with just a configuration change. >!llm:!< >!model_name: "openai/system"!< >!api_base: "127.0.0.1"!< >!api_key: "unused"!< Curious if anyone else is experimenting with fm serve for something beyond regular chatting.

Your Mac has a hidden LLM. What if you could use it to chat with your own thoughts? Turns out macOS 27 has a built-in LLM that you can access directly through Terminal using fm chat. Even more interesting, fm serve exposes it through an OpenAI-compatible API. No Ollama, no API keys, no separate model downloads (Refer here for LLM setup). Imagine having a personal memory powered entirely by the LLM already sitting inside your Mac. No cloud, no subscriptions, and everything stays local. The idea is simple: dump your random thoughts, notes, ideas, or anything worth remembering. Gray Box (my own open source project) organizes them into a connected Markdown wiki that you can actually have a conversation with. It even traces answers back to your original notes. Everything stays local in plain markdown. Later, you can ask things like: - “What was that idea I had last Tuesday?” - “What did I decide about Project X?” - “How is this related to something I wrote last month?” Since Gray Box already uses LiteLLM, Apple’s built-in model should work with just a configuration change. llm: model_name: "openai/system" api_base: "127.0.0.1" api_key: "unused" Curious if anyone else is experimenting with fm serve for something beyond regular chatting.

Samsung has ended support for older Tizen watches (Galaxy Watch, Active2, etc.) but they’re not dead! ⌚ Have an iPhone + Mac? You can still sideload apps like Facer without Windows or an Android phone! 📱 Android support too — check the README 👇 Aaryanverma/tizen-installer-mac

Watch faces for Tizen watches (2026) [Easy Setup, No coding required] I managed to install Facer on my Samsung Galaxy Watch Active 2 for which samsung has pulled off the plug for any support. Problem was: Neither I have an android phone nor windows PC. Managed to use my iPhone and Macbook for this purpose. Follow the instructions in this repo, no coding required: Aaryanverma/tizen-installer-mac Once you follow the instructions, facer will be available in your watch. Just install the facer app on your iPhone and you’ll be able to sync watch faces from facer. Spread the word if you like it.

@vijayshekhar The offline part caught my eye, though it’s Mac-only for now. I’m building “Gray Box” around a similar idea across platforms: dumped raw notes become a linked Markdown wiki you can question, with answers traced back to your notes. No embeddings needed. Aaryanverma/graybox