CursorLens vs Kel: Which is better?

CursorLens is an open-source dashboard designed for the Cursor.sh IDE, providing insights into AI-assisted coding by logging interactions with various AI providers. It features an analytics dashboard that tracks usage patterns, token consumption, and costs, while allowing users to configure and monitor different AI models in real-time. The tool aims to help developers optimize their coding workflow and improve productivity through detailed analytics and logging capabilities.

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Kel

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.

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Key features

CursorLens

AI Provider Integration: Supports multiple AI providers including OpenAI and Anthropic.
Request Logging: Captures and logs all requests between Cursor and AI providers.
Analytics Dashboard: Provides visual analytics on AI usage, including token consumption and request patterns.
Configurable AI Models: Allows users to set up and switch between different AI configurations.
Real-time Monitoring: Offers a live view of ongoing AI interactions.

Kel

AI capabilities integrated into the CLI for automating tasks and enhancing productivity.
Supports multiple LLMs including OpenAI, Anthropic, and Ollama, with the ability to bring your own API key.
Allows users to upload files and interact with their artifacts through a chat interface.
Free and open-source, enabling community contributions on GitHub.
Configuration through a `config.toml` file for personal settings and LLM selection.

Useful for

CursorLens

Provides insights into AI-assisted coding patterns for developers.
Optimizes token usage and helps reduce costs associated with AI interactions.
Allows comparison of performance across different AI models for better decision-making.
Tracks productivity improvements over time, aiding in workflow enhancement.
Offers real-time monitoring and detailed analytics to improve coding efficiency.

Kel

Automates repetitive tasks, enhancing productivity and efficiency in the command line interface (CLI).
Supports multiple large language models (LLMs), allowing users to choose the best fit for their needs.
Enables users to upload files and interact with their artifacts through a chat interface, facilitating easier data analysis and insights.
Allows integration of personal API keys for customized usage, providing flexibility in accessing different LLMs.
Free and open source, encouraging community contributions and collaboration on GitHub.

Use cases

CursorLens

Log AI code generations and track usage during coding sessions.
Provide visual analytics on AI usage, including token consumption and request patterns.
Allow users to configure and switch between different AI models for coding assistance.
Monitor real-time interactions with AI providers and log all requests.
Estimate costs based on token usage and model pricing to optimize expenses.

Kel

Automate repetitive tasks in the command line interface (CLI) using AI capabilities.
Interact with various large language models (LLMs) such as OpenAI, Anthropic, and Ollama for diverse functionalities.
Upload files to the assistant and engage in conversations to extract insights or analyze content.
Configure and use personal API keys for customized interactions with LLMs.
Utilize the OpenAI assistant to analyze documents and obtain insights directly from the CLI.

Price

CursorLens

CursorLens is an open-source tool with no specified pricing plans.
It offers features such as cost estimation based on token usage and model pricing.
There is no mention of subscription tiers or one-time fees in the provided text.
The application can be run locally or through an upcoming hosted version, but pricing for the hosted version is not detailed.
No specific costs or pricing structures are provided for any features or services.

Kel

The application is free and open source.
Users can bring their own API keys for OpenAI and Anthropic.
Other LLM support is coming soon.
There is an option to contact for a support plan.