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Short description AnythingLLM is a full local AI application, not just a chat box. In one tool it gives you chat with your models, document RAG, and AI agents that can take actions, and it can serve a whole team rather than a single person. Purpose and how people use it People reach for AnythingLLM…

Short description Ollama is a local model runner. It downloads open weight LLMs and serves them through a simple local API at port 11434. Purpose and how people use it Ollama is the engine layer of a local AI stack. People use it to run models like Llama, Mistral, Qwen, and Nemotron on their own…

Part 0b: Setting Up a Ubuntu Server (Docker and Essentials) Who this is for This guide gets a fresh Ubuntu server ready to run the stack. This is the path for a home server, a spare machine, or a cloud server, rather than a Windows desktop. After this you can follow any tool guide in…

Short description Locust is a load testing tool. You describe simulated users in a small Python file, then watch how your service behaves as concurrency rises. Purpose and how people use it People use Locust to find where a service slows down or breaks under load. For an AI stack it answers a specific question:…

Short description Dify is an all in one platform to build, run, and publish LLM apps. It covers chatbots, agents, visual workflows, and RAG knowledge bases, then lets you publish any of them as a web app or an API. Purpose and how people use it People use Dify to go from idea to a…

Short description Langfuse is observability and tracing for LLM applications. It records every call, prompt, response, latency, and cost so you can see what your stack is actually doing. Purpose and how people use it People use Langfuse to debug and improve LLM apps. When an agent gives a strange answer, the trace shows the…