Kel vs Marvin: Which is better?

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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Marvin

Marvin is an open-source library designed for building AI-powered software. It introduces a new concept - AI functions that generate outputs on-demand through AI, without relying on source code. These functions work with native data types and can be integrated seamlessly into any codebase, thus eliminating the need for complex code for tasks like extracting entities from web pages or categorizing items in a database. Marvin also features more flexible bots, which are highly capable AI assistants that can be given specific instructions, personalities, or roles. Additionally, developers can use Marvin to add AI capabilities wherever they are most impactful, without needing to start from scratch.Marvin is an opinionated, high-level library with the primary goal of integrating AI tools into software development. Its convenience, flexibility, and ease of use are ideal for software developers looking to leverage AI's advantages in their work.

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Key features

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.

Marvin

Simple Interface: Allows users to start with one line of code and scale to complex applications.
Smart Defaults: Provides sensible defaults that work out of the box, with options for customization.

Kel vs Marvin: Which is better?

Key features

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.

Marvin

Simple Interface: Allows users to start with one line of code and scale to complex applications.
Smart Defaults: Provides sensible defaults that work out of the box, with options for customization.

Useful for

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.

Marvin

Simple Interface: Allows users to start with one line of code and scale to complex applications easily.
Smart Defaults: Provides sensible defaults that work out of the box, with options for customization when needed.
State Management: Includes built-in conversation history and memory management, simplifying the handling of interactions.
Structured Data: Enables users to obtain results in specific formats, enhancing data usability.
Multi-Agent Collaboration: Facilitates the creation of specialized agents that can work together, improving task efficiency and effectiveness.

Use cases

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.

Marvin

Run simple tasks using `marvin.run()` to generate text or perform actions with minimal code.
Create specialized agents with unique skills and personalities to handle specific tasks, such as writing or data analysis.
Manage conversation history and context using threads, allowing for multi-turn interactions and persistent memory.
Utilize tools to extend agent capabilities, enabling them to access external APIs or perform complex calculations.
Provide context to tasks or agents to enhance response accuracy and relevance based on additional information.

Price

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.

Marvin

Installation of Marvin can be done via package managers like `pip` or `uv`, with the command `pip install marvin`.
An API key from an LLM provider (OpenAI by default) is required for configuration.
Development installation requires cloning the repository and installing with development dependencies.
The application supports Python 3.10 or higher.
No specific pricing details or plans are provided in the text.