There is even a dwm-style extremely comprehensive tiling window manager called bug.n [1], which I downloaded it way back in windows 8 days. Made a lot of changes myself and plan to open source it as a fork. Its too good. And combined with the rest of my AHK scripts, my windows setup turns out to be even more customised than many Linux systems I use. See my post of my windows setup fooling r/unixporn [2] for how it... - Source: Hacker News / over 3 years ago

Bug.n — Amongst other flavours is a dynamic, tiling window manager, which tries to clone the functionality of dwm. Source: over 3 years ago

Another comment mentioned what you're looking for is a window manager: another for windows is bug.n. Source: over 3 years ago

So when I said "window manager based Linux" I was mostly referring to the stereotypes of the Linux window manager; which 1 person not even having a mouse; staring apps; moving windows doing everything with their keyboard. If you wanna look a bit more into window managers for windows the only "okay" one that I've personally used is bug.n and for Linux there's tons; but my personal fav is I3. Source: over 3 years ago

You can implement the wm manager of your dreams in ahk ... In like 500 lines. it's amazing stuff. You can also go all out: https://github.com/fuhsjr00/bug.n. - Source: Hacker News / almost 4 years ago

This is usually a challenge that any developer has to take care of when building an AI agent. In fact, managing the context is one of the hardest problems when working with AI agents and there are many companies like SuperMemory, Mem0 which have invested both resources and time to solve this problem. - Source: dev.to / 15 days ago

Memory. I use Supermemory for this. Before, Pipa loaded context files and knew to update them. A memory tool adds teammate-like recall: goals, preferences, latest business state, and small details that should carry across runs. Good memory tools also know how to supersede and delete memories, which matters once the agent has more autonomy. - Source: dev.to / about 2 months ago

We wire everything up with Vision Agents as the voice agent framework, Stream for WebRTC audio and video, OpenAI Realtime for speech in and speech out, Anam so the agent shows up as a face on the video, and Supermemory so answers come from search over your uploaded documents instead of guesswork. The code stays small and most of the behavior lives in one registered function that asks the memory store for relevant... - Source: dev.to / 3 months ago

My friends and I are working on https://supermemory.ai, an AI second brain to help you remember content from saved webpages and notes. - Source: Hacker News / almost 2 years ago