AI tools catalog
2 tool cards: use cases, strengths and weaknesses, pricing, alternatives.
A desktop app for running LLMs locally with a UI. A convenient model catalog, chat, and server.
Best for: Those who need a GUI around local models.
Strengths
- A convenient GUI
- A model catalog inside
- An OpenAI-compatible local server
Weaknesses
- Desktop only
- A less server-oriented workflow than Ollama
Pricing: Free·Difficulty: Beginner·Alternatives: ollama
The simplest way to run an LLM locally. One binary, the command `ollama run llama3` — and the model is running.
Best for: Running models locally, experiments, privacy-sensitive scenarios.
Strengths
- Very simple to run
- An OpenAI-compatible API
- A large model catalog
Weaknesses
- Fewer fine settings than llama.cpp
- Depends on hardware
Pricing: Free (open source)·Difficulty: Intermediate·Alternatives: lm-studio, openrouter