Best AI tools for< Zsh User >

How2 is an AI-powered tool designed for the Command-Line interface, providing users with suggestions for shell commands directly from the Unix Terminal. It utilizes AI models retrained on Bash/Zsh commands to enhance the Command Line experience. Users can quickly create Bash scripts, search StackOverflow, and seamlessly work with PowerShell. How2 is committed to user safety by never executing commands, only proposing options, and preventing code injection or misuse. The tool is free for up to 5 queries per day, with the option to subscribe for more queries. How2 is developed by Claudio Santini in London.

wdoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It aims to handle large volumes of diverse document types, making it ideal for researchers, students, and professionals dealing with extensive information sources. wdoc uses LangChain to process and analyze documents, supporting tens of thousands of documents simultaneously. The system includes features like high recall and specificity, support for various Language Model Models (LLMs), advanced RAG capabilities, advanced document summaries, and support for multiple tasks. It offers markdown-formatted answers and summaries, customizable embeddings, extensive documentation, scriptability, and runtime type checking. wdoc is suitable for power users seeking document querying capabilities and AI-powered document summaries.

Zsh Codex is a ZSH plugin that enables AI-powered code completion in the command line. It supports both OpenAI's Codex and Google's Generative AI (Gemini), providing advanced language model capabilities for coding tasks directly in the terminal. Users can easily install the plugin and configure it to enhance their coding experience with AI assistance.

ShellOracle is an innovative terminal utility designed for intelligent shell command generation, bringing a new level of efficiency to your command-line interactions. It supports seamless shell command generation from written descriptions, command history for easy reference, Unix pipe support for advanced command chaining, self-hosted for full control over your environment, and highly configurable to adapt to your preferences. It can be easily installed using pipx, upgraded with simple commands, and used as a BASH/ZSH widget activated by the CTRL+F keyboard shortcut. ShellOracle can also be run as a Python module or using its entrypoint 'shor'. The tool supports providers like Ollama, OpenAI, and LocalAI, with detailed instructions for each provider. Configuration options are available to customize the utility according to user preferences and requirements. ShellOracle is compatible with BASH and ZSH on macOS and Linux, with no specific hardware requirements for cloud providers like OpenAI.

llamafile is a tool that enables users to distribute and run Large Language Models (LLMs) with a single file. It combines llama.cpp with Cosmopolitan Libc to create a framework that simplifies the complexity of LLMs into a single-file executable called a 'llamafile'. Users can run these executable files locally on most computers without the need for installation, making open LLMs more accessible to developers and end users. llamafile also provides example llamafiles for various LLM models, allowing users to try out different LLMs locally. The tool supports multiple CPU microarchitectures, CPU architectures, and operating systems, making it versatile and easy to use.

The Mistral Python Client is a tool inspired by cohere-python that allows users to interact with the Mistral AI API. It provides functionalities to access and utilize the AI capabilities offered by Mistral. Users can easily install the client using pip and manage dependencies using poetry. The client includes examples demonstrating how to use the API for various tasks, such as chat interactions. To get started, users need to obtain a Mistral API Key and set it as an environment variable. Overall, the Mistral Python Client simplifies the integration of Mistral AI services into Python applications.

Unsloth is a tool that allows users to fine-tune large language models (LLMs) 2-5x faster with 80% less memory. It is a free and open-source tool that can be used to fine-tune LLMs such as Gemma, Mistral, Llama 2-5, TinyLlama, and CodeLlama 34b. Unsloth supports 4-bit and 16-bit QLoRA / LoRA fine-tuning via bitsandbytes. It also supports DPO (Direct Preference Optimization), PPO, and Reward Modelling. Unsloth is compatible with Hugging Face's TRL, Trainer, Seq2SeqTrainer, and Pytorch code. It is also compatible with NVIDIA GPUs since 2018+ (minimum CUDA Capability 7.0).

The URL/API Source is a plugin for OBS Studio that allows users to add a media source fetching data from a URL or API endpoint and displaying it as text. It supports input and output templating, various request types, output parsing (JSON, XML/HTML, Regex, CSS selectors), live data updating, output styling, and formatting. Future features include authentication, websocket support, more parsing options, request types, and output formats. The plugin is cross-platform compatible and actively maintained by the developer. Users can support the project on GitHub.

LocalVocal is a Speech AI assistant OBS Plugin that enables users to transcribe speech into text and translate it into any language locally on their machine. The plugin runs OpenAI's Whisper for real-time speech processing and prediction. It supports features like transcribing audio in real-time, displaying captions on screen, sending captions to files, syncing captions with recordings, and translating captions to major languages. Users can bring their own Whisper model, filter or replace captions, and experience partial transcriptions for streaming. The plugin is privacy-focused, requiring no GPU, cloud costs, network, or downtime.

Warp is a blazingly-fast modern Rust based GPU-accelerated terminal built to make you and your team more productive. It is available for macOS and Linux users, with plans to support Windows and the Web (WASM) in the future. Warp has a community search page where you can find solutions to common issues, and you can file issue requests in the repo if you can't find a solution. Warp is open-source, and the team is planning to first open-source their Rust UI framework, and then parts and potentially all of their client codebase.

FastTrackML is an experiment tracking server focused on speed and scalability, fully compatible with MLFlow. It provides a user-friendly interface to track and visualize your machine learning experiments, making it easy to compare different models and identify the best performing ones. FastTrackML is open source and can be easily installed and run with pip or Docker. It is also compatible with the MLFlow Python package, making it easy to integrate with your existing MLFlow workflows.

Hof is a CLI tool that unifies data models, schemas, code generation, and a task engine. It allows users to augment data, config, and schemas with CUE to improve consistency, generate multiple Yaml and JSON files, explore data or config with a TUI, and run workflows with automatic task dependency inference. The tool uses CUE to power the DX and implementation, providing a language for specifying schemas, configuration, and writing declarative code. Hof offers core features like code generation, data model management, task engine, CUE cmds, creators, modules, TUI, and chat for better, scalable results.

MockingBird is a toolbox designed for Mandarin speech synthesis using PyTorch. It supports multiple datasets such as aidatatang_200zh, magicdata, aishell3, and data_aishell. The toolbox can run on Windows, Linux, and M1 MacOS, providing easy and effective speech synthesis with pretrained encoder/vocoder models. It is webserver ready for remote calling. Users can train their own models or use existing ones for the encoder, synthesizer, and vocoder. The toolbox offers a demo video and detailed setup instructions for installation and model training.

ChatGPT CLI provides a powerful command-line interface for seamless interaction with ChatGPT models via OpenAI and Azure. It features streaming capabilities, extensive configuration options, and supports various modes like streaming, query, and interactive mode. Users can manage thread-based context, sliding window history, and provide custom context from any source. The CLI also offers model and thread listing, advanced configuration options, and supports GPT-4, GPT-3.5-turbo, and Perplexity's models. Installation is available via Homebrew or direct download, and users can configure settings through default values, a config.yaml file, or environment variables.

tlm is a local CLI copilot tool powered by CodeLLaMa, providing efficient command line suggestions without the need for an API key or internet connection. It works on macOS, Linux, and Windows, with automatic shell detection for Powershell, Bash, and Zsh. The tool offers one-liner generation and command explanation, and can be installed via an installation script or using Go Install. Ollama is required to download necessary models, and the tool can be easily deployed and configured. Contributors are welcome to enhance the tool's functionality.

CleanStream is an OBS plugin that utilizes AI to clean live audio streams by removing unwanted words and utterances, such as 'uh's and 'um's, and configurable words like profanity. It uses a neural network (OpenAI Whisper) in real-time to predict speech and eliminate unwanted words. The plugin is still experimental and not recommended for live production use, but it is functional for testing purposes. Users can adjust settings and configure the plugin to enhance audio quality during live streams.

Air is a live-reloading command line utility for developing Go applications. It provides colorful log output, customizable build or any command, support for excluding subdirectories, and allows watching new directories after Air started. Users can overwrite specific configuration from arguments and pass runtime arguments for running the built binary. Air can be installed via `go install`, `install.sh`, or `goblin.run`, and can also be used with Docker/Podman. It supports debugging, Docker Compose, and provides a Q&A section for common issues. The tool requires Go 1.16+ for development and welcomes pull requests. Air is released under the GNU General Public License v3.0.

CleanStream is an OBS plugin that utilizes real-time local AI to clean live audio streams by removing unwanted words and utterances, such as 'uh' and 'um', and configurable words like profanity. It employs a neural network (OpenAI Whisper) to predict speech in real-time and eliminate undesired words. The plugin runs efficiently using the Whisper.cpp project from ggerganov. CleanStream offers users the ability to adjust settings and add the plugin to any audio-generating source in OBS, providing a seamless experience for content creators looking to enhance the quality of their live audio streams.

ShellGPT is a command-line productivity tool powered by AI large language models (LLMs). This command-line tool offers streamlined generation of shell commands, code snippets, documentation, eliminating the need for external resources (like Google search). Supports Linux, macOS, Windows and compatible with all major Shells like PowerShell, CMD, Bash, Zsh, etc.

Gp.nvim (GPT prompt) Neovim AI plugin provides a seamless integration of GPT models into Neovim, offering features like streaming responses, extensibility via hook functions, minimal dependencies, ChatGPT-like sessions, instructable text/code operations, speech-to-text support, and image generation directly within Neovim. The plugin aims to enhance the Neovim experience by leveraging the power of AI models in a user-friendly and native way.

The Mistral JavaScript client is a library that allows you to interact with the Mistral AI API. With this client, you can perform various tasks such as listing models, chatting with streaming, chatting without streaming, and generating embeddings. To use the client, you can install it in your project using npm and then set up the client with your API key. Once the client is set up, you can use it to perform the desired tasks. For example, you can use the client to chat with a model by providing a list of messages. The client will then return the response from the model. You can also use the client to generate embeddings for a given input. The embeddings can then be used for various downstream tasks such as clustering or classification.

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