Context vs Kel: Which is better?

Context is an AI-powered tool designed to help developers find quick and accurate answers to technical questions. The tool trains itself using documentation, content, and codebase to provide in-depth and detailed answers in seconds. It can be accessed via Slack, Discord, any website, or an API, making it easily accessible for users. Context provides real-time monitoring of incoming activity and analytics to help the user better understand their community. It offers the option to embed the search interface on your website or install it on Slack or Discord. In summary, Context is a comprehensive AI-powered tool designed for developers to quickly find and share accurate technical answers. It offers features such as response editing, source attribution, and integration support, making it a reliable support companion for any software stack.

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.