AnythingLLM requires about 2GB of RAM, just to be idle, and in the RAM Crisis, that this world is in today. i want to bring better optimization.
And, AnythingLLM utilizes a "UI-first, Logic-second" approach. Meanwhile, to combat this, i'm using a "Logic-first, UI-second" approach.
Not to mention, A system like AnythingLLM isn't easy to work on lower-end computers, and I for one, do not like that, because, i'm using a low-end computer to work on this.
Hi HN Community, I'm Venkatram, a sophomore who's on a mission to build a local alternative to proprietary third-party AI-based research assistants.The idea is to turn documents into researchable assets that contain as much as information as the original information does, but it's more reusable.Well, quite frankly, this is still under a WORK IN PROGRESS, so i'm still figuring on how it can be...
https://github.com/venkatram-s/pyclaw/
A lightweight Python-based AI assistant in alpha stage with conversational capabilities and task management via CLIContributors are welcome!
https://github.com/venkatram-s/picoclaw/releases/tag/latest
Fair warning up front: this was vibe-coded with Claude, Copilot, and ChatGPT.I don't fully understand every change I made. Use accordingly.The target machine is a low-end laptop — 32-bit Windows 10 Build 1803, 2 GB RAM, 32 GB storage.Compiling on it directly was too slow, so I did the heavy lifting on a faster computer and moved the binary over.Stack: PicoClaw v0.1.2, Go 1.26.0 (x86),...