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and this is why we can't have nice things...
206 models. 57 providers. One command to find what runs on your hardware.
- A terminal tool that right-sizes LLM models to your system's RAM, CPU, and GPU. Detects your hardware, scores each model across quality, speed, fit, and context dimensions, and tells you which ones will actually run well on your machine.
- Ships with an interactive TUI (default) and a classic CLI mode. Supports multi-GPU setups, MoE architectures, dynamic quantization selection, and speed estimation.
https://raw.githubusercontent.com/AlexsJones/llmfit/main/demo.gif
https://github.com/OpenKnots/openclaw-chat-api
API for chatting with the OpenClaw docs hosted on Vercel powered by Upstash Vector DB.
https://github.com/thebalaa/clabo-hotel/blob/main/SETUP.md
Habbo Hotel Nitro-Docker Setup Guide
here's a memory tool I vibe coded that uses Weaviate (although it supports ChromaDB): https://github.com/coolrazor007/VibeMem
What I like about it is that it scope's memories to global or project. So that vibe coding in one repo will save memories and vibe coding in another repo will save memories but separate them via "scope". Like what is a global memory versus project specific.