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AI Shell (a.k.a Project Mercury)

Welcome to the AI Shell repository! AI Shell is a CLI tool that brings the power of artificial intelligence directly to your command line! Designed to help you get command assistance from various AI assistants, AI Shell is a versatile tool to help you become more productive in the command line. We call these various AI assistant providers agents. You can use agents to interact with different generative AI models or other AI/ML/assistant providers in a conversational manner. This repo contains the code of the AI Shell engine, agents and details on how to create your own agent.

Why the name Project Mercury? This was the original code name of the project and was inspired both by the Roman god of messages and the first human spaceflight by the US. This project is our first step into the new world of AI powered assistance and focuses on being the connection (or messenger) between the user and the AI model.

This project is currently in a very early public preview state. Expect many significant changes to the code as we experiment and refine the user experiences of this tool. We appreciate your feedback and patience as we continue our development.

New to AI Shell?

To learn more about AI Shell, we recommend you check out the overview page of the AI Shell documentation.

Usage

There are two modes to use AI Shell, standalone and a side-by-side, integrated experience with PowerShell 7. For more information see,

AI Shell in PowerShell

GIF showing demo of the AI Shell in PowerShell

Standalone experience

GIF showing demo of the AI Shell standalone

Getting AI Shell

AI Shell is supported on Windows, MacOS and Linux, however the best experience you can have is with Windows, PowerShell 7 and Windows Terminal. For more information see, Installing AI Shell.

Locally Building AI Shell

Some prerequisites for building an AI Shell:

Here are the steps to install and use.

  1. Clone this repository, git clone https://github.com/PowerShell/ProjectMercury
  2. Import the build.psm1 module by running import-module ./build.psm1
  3. Run the Start-Build command (You can specify which agents build with the -AgentsToInclude parameter)
  4. After the build is complete, you can find the produced executable aish in the out\debug\app folder within the repository's root directory. You can add the location to the PATH environment variable for easy access. The full path is copied to your clipboard after successful build.

AI Agents

Project Mercury provides a framework for creating and registering multiple AI Agents. The agents are libraries that you use to interact with different AI models or assistance providers. AI Shell releases with two agents, the openai-gpt and azure agent. However there are additional ones supported if you locally build the project:

Agent README files:

When you run aish, you are prompted to choose an agent. For more details about each agent, see the README in the each agent folder.

To learn more about how to create an agent for yourself please see, Creating an Agent.

Chat commands

By default, aish provides a base set of chat / commands used to interact with the responses from the AI model. To get a list of commands, use the /help command in the chat session.

  Name       Description                                      Source
──────────────────────────────────────────────────────────────────────
  /agent     Command for agent management.                    Core
  /cls       Clear the screen.                                Core
  /code      Command to interact with the code generated.     Core
  /dislike   Dislike the last response and send feedback.     Core
  /exit      Exit the interactive session.                    Core
  /help      Show all available commands.                     Core
  /like      Like the last response and send feedback.        Core
  /refresh   Refresh the chat session.                        Core
  /render    Render a markdown file, for diagnosis purpose.   Core
  /retry     Regenerate a new response for the last query.    Core

Also, agents can implement their own commands. For example, the openai-gpt agent register the command /gpt for managing the GPTs defined for the agent. Some commands, such as /like and /dislike, are commands that sends feedback to the agents. It is up to the agents to consume the feedback.

Key bindings for commands

AI Shell supports key bindings for the /code command. They are currently hard-coded, but custom key bindings will be supported in future releases.

Key bindings Command Functionality
Ctrl+d, Ctrl+c /code copy Copy all the generated code snippets to clipboard
Ctrl+<n> /code copy <n> Copy the n-th generated code snippet to clipboard
Ctrl+d, Ctrl+d /code post Post all the generated code snippets to the connected application
Ctrl+d, <n> /code post <n> Post the n-th generated code snippet to the connected application

Configuration

Currently, AI Shell supports very basic configuration. One can creates a file named config.json under ~/.aish to configure AI Shell, but it only supports declaring the default agent to use at startup. This way you do not need to select agents every time you run aish.exe

Configuration of AI Shell will be improved in future releases to support custom key bindings, color themes and more.

{
  "DefaultAgent": "openai-gpt"
}

Contributing to the project

Please see CONTRIBUTING.md for more details.

Privacy

AI Shell does not capture, collect, store, or process any personal data or personally identifiable information (PII). All data interactions are limited to the scope of the functionality provided by the tool and do not involve any form of personal data collection.

Some agents integrated with AI Shell may collect telemetry data to improve performance, enhance user experience, or troubleshoot issues. We recommend that you refer to the individual agent’s README or documentation for more information on the telemetry practices and data collection policies for each agent.

If you are interested in learning more, see Microsoft's Privacy Statement.

Support

For support, see our Support statement.

Code of Conduct

Please see our Code of Conduct before participating in this project.

Security Policy

For any security issues, please see our Security Policy.

Feedback

We're still in development and value your feedback! Please file issues in this repository for bugs, suggestions, or feedback. If you would like to give more candid feedback and sign up for testing future versions and features before they are released, please fill out this form.

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An interactive shell to work with AI-powered assistance providers

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