Rubra vs Kel: Which is better?

Rubra is an open-source tool designed for local development of AI assistants using a large language model (LLM). Conceived with developers in mind, Rubra offers the convenience and intelligence similar to working with OpenAI's ChatGPT. It offers an opportunity to build AI-powered applications in a private, cost-effective manner by allowing developers to work locally, thereby bypassing the need for tokens for API calls. It's designed with privacy in mind, as it executes all processes on the user's local machine, ensuring that chat histories and retrieved data never exit the local machine. Furthermore, Rubra is not restricted to its local LLM it also supports OpenAI and Anthropic models. Community participation is encouraged, with provisions for user contributions in form of discussions, bug reporting and code contributions on its Github repository.

Kel is an AI-based assistant embedded in your Command Line Interface (CLI). It is designed to augment productivity by automating repetitive tasks and enhancing the overall efficiency of your CLI. Kel is equipped with multiple Languages for Learning Machines (LLMs) support including OpenAI, Anthropic, and Ollama, whilst also supporting OpenAI Assistants. It further allows users to engage in unique interactions such as 'chatting' with their artifacts by uploading their files to the assistant. Developers can personalize their assistant using their own API keys for OpenAI or Anthropic, a feature that might soon extend to other LLMs.