Kel is an AI-based assistant designed to augment productivity by automating repetitive tasks and enhancing the overall efficiency of Command Line Interfaces (CLIs). It supports multiple Languages for Learning Machines (LLMs) like OpenAI, Anthropic, and Ollama, and offers unique file interaction capabilities where users can 'chat' with their artifacts by uploading files to the assistant. Kel is free to use, open-source, and allows personalization through API keys for technologies like OpenAI and Anthropic. Users can contribute to Kel's development on GitHub, and detailed documentation can be found on the main website. Support for Kel is available on a contact basis, and there are plans to extend support to other LLMs in the future.
Kel was created by the company QAInsights.com. It was launched on December 11, 2023. The AI-based assistant, Kel, is designed to enhance productivity by automating repetitive tasks and improving CLI efficiency. It supports OpenAI, Anthropic, and Ollama LLMs, alongside OpenAI Assistants. Kel is free to use and open source, allowing contributions on GitHub for continuous development.
To use Kel effectively, follow these steps:
Purpose of Kel: Kel is an AI-based assistant embedded within the Command Line Interface (CLI) to automate tasks and boost productivity.
Support for LLMs: Kel supports various Languages for Learning Machines (LLMs) like OpenAI, Anthropic, and Ollama, along with OpenAI Assistants.
File Interaction: Unique feature allowing users to interact with their artifacts by uploading files and engaging in conversations.
Free and Open Source: Kel is free to use and open source, welcoming contributions on GitHub for continuous development.
API Personalization: Developers can personalize Kel by using their API keys for OpenAI or Anthropic to tailor assistant functionalities.
Contribution to Development: Developers can contribute to Kel's development on GitHub by reviewing source code and suggesting enhancements.
Documentation: Detailed documentation is available on Kel's website for a comprehensive guide on features and functionalities.
Support: Assistance for Kel users is provided on a contact basis, allowing users to reach out for help when needed.
Future Features: Plans to expand support for other LLMs beyond OpenAI and Anthropic are in the pipeline for additional functionalities.
Accessing GitHub: Kel's GitHub platform can be accessed at https://github.com/qainsights/kel to contribute, view source code, and propose improvements.
By following these steps, you can effectively utilize Kel for enhancing productivity and automating tasks within the CLI.
Kel's ability to automate CLI tasks has significantly reduced the time I spend on repetitive commands. The integration with OpenAI allows me to handle complex queries effortlessly.
The initial setup can be a bit tricky, especially for those unfamiliar with APIs. A guided setup wizard would be helpful.
Kel helps me manage file operations seamlessly. By uploading files and chatting with the assistant, I can quickly extract information without digging through command lines, enhancing my productivity.
I love how Kel can interact with files directly. It feels like having a personal assistant that understands my requests in natural language.
Sometimes, the responses can be slow, especially when the task is complex. A faster processing time would improve the experience.
Kel streamlines my workflow by automating routine CLI tasks. I can focus on coding rather than wasting time on repetitive commands, which boosts my overall efficiency.
The personalized API integration is fantastic. I can tailor Kel to fit my specific needs, which makes it feel customized.
The documentation could be more comprehensive. While it's available, some sections are a bit vague.
Kel helps automate server maintenance tasks, allowing me to allocate my time to more critical issues. This has drastically improved my team's productivity.
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