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AssistantAGI

A Python package for an AI assistant with AGI capabilities.

Installation

# Create a virtual environment
python -m venv venv
# Activate the virtual environmentsource venv/bin/activate # On Windows: venv\Scripts\activate# Install the package and dependencies
pip install -e .

Usage

As a Module

fromassistant_agiimportprocess# Process a queryresponse=process("What's 25 + 17?")
print(response)
# Access the agent directlyfromassistant_agiimportagentresponse=agent.chat("What's the weather like today?")

Command Line Interface

You can run the assistant directly from the command line:

# Using the console script
assistant-agi
# Or using the Python module
python -m assistant_agi.assistant

REST API

You can run the assistant as a REST API server:

# Install with API dependencies
pip install -e ".[api]"# Run the API server
assistant-agi-api
# Or using the Python module
python -m assistant_agi.api

Node.js Integration

You can call the assistant from Node.js using the provided client:

constAssistantAGI=require('./node_client');// Create an instance of the AssistantAGI clientconstassistant=newAssistantAGI();// Process a queryassistant.process("What's 25 + 17?").then(response=>console.log(response)).catch(error=>console.error(error));// Chat with the agentassistant.chat("What's the weather like today?").then(response=>console.log(response)).catch(error=>console.error(error));

Features

  • Intelligent query processing with strands-agents
  • Calendar tracking, restaurant reservations, and concert ticket booking
  • Interactive command-line interface with visual feedback
  • Extensible architecture for adding custom tools
  • Easy integration with other systems

Visual Interface

The assistant includes a sophisticated visual interface with:

  • Animated spinners showing processing status
  • Color-coded messages for different states
  • Progress tracking for tool operations
  • Graceful error handling

Development

# Create a development environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate# Install development dependencies
pip install -e ".[dev]"# Run tests
pytest

VSCode Integration

For the best development experience with VSCode:

  1. Open the project in VSCode
  2. Select the Python interpreter from the virtual environment:
    • Press Cmd+Shift+P (or Ctrl+Shift+P on Windows)
    • Type "Python: Select Interpreter"
    • Choose the interpreter from the venv folder

License

MIT

About

No description, website, or topics provided.

Resources

Readme
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

Contributors

Languages

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GitHub - jariy17/AssistantAI · GitHub
Skip to content
BranchesTags
Repository files navigation
AssistantAGI
A Python package for an AI assistant with AGI capabilities.
Installation
# Create a virtual environment
python -m venv venv
# Activate the virtual environmentsource venv/bin/activate # On Windows: venv\Scripts\activate# Install the package and dependencies
pip install -e .
Usage
As a Module
fromassistant_agiimportprocess# Process a queryresponse=process("What's 25 + 17?")
print(response)
# Access the agent directlyfromassistant_agiimportagentresponse=agent.chat("What's the weather like today?")
Command Line Interface
You can run the assistant directly from the command line:
# Using the console script
assistant-agi
# Or using the Python module
python -m assistant_agi.assistant
REST API
You can run the assistant as a REST API server:
# Install with API dependencies
pip install -e ".[api]"# Run the API server
assistant-agi-api
# Or using the Python module
python -m assistant_agi.api
Node.js Integration
You can call the assistant from Node.js using the provided client:
constAssistantAGI=require('./node_client');// Create an instance of the AssistantAGI clientconstassistant=newAssistantAGI();// Process a queryassistant.process("What's 25 + 17?").then(response=>console.log(response)).catch(error=>console.error(error));// Chat with the agentassistant.chat("What's the weather like today?").then(response=>console.log(response)).catch(error=>console.error(error));
Features
  • Intelligent query processing with strands-agents
  • Calendar tracking, restaurant reservations, and concert ticket booking
  • Interactive command-line interface with visual feedback
  • Extensible architecture for adding custom tools
  • Easy integration with other systems
Visual Interface
The assistant includes a sophisticated visual interface with:
  • Animated spinners showing processing status
  • Color-coded messages for different states
  • Progress tracking for tool operations
  • Graceful error handling
Development
# Create a development environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate# Install development dependencies
pip install -e ".[dev]"# Run tests
pytest
VSCode Integration
For the best development experience with VSCode:
  1. Open the project in VSCode
  2. Select the Python interpreter from the virtual environment:

    • Press Cmd+Shift+P (or Ctrl+Shift+P on Windows)
    • Type "Python: Select Interpreter"
    • Choose the interpreter from the venv folder
License
MIT
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - jariy17/AssistantAI · GitHub
Skip to content
BranchesTags
Repository files navigation
AssistantAGI
A Python package for an AI assistant with AGI capabilities.
Installation
# Create a virtual environment
python -m venv venv
# Activate the virtual environmentsource venv/bin/activate # On Windows: venv\Scripts\activate# Install the package and dependencies
pip install -e .
Usage
As a Module
fromassistant_agiimportprocess# Process a queryresponse=process("What's 25 + 17?")
print(response)
# Access the agent directlyfromassistant_agiimportagentresponse=agent.chat("What's the weather like today?")
Command Line Interface
You can run the assistant directly from the command line:
# Using the console script
assistant-agi
# Or using the Python module
python -m assistant_agi.assistant
REST API
You can run the assistant as a REST API server:
# Install with API dependencies
pip install -e ".[api]"# Run the API server
assistant-agi-api
# Or using the Python module
python -m assistant_agi.api
Node.js Integration
You can call the assistant from Node.js using the provided client:
constAssistantAGI=require('./node_client');// Create an instance of the AssistantAGI clientconstassistant=newAssistantAGI();// Process a queryassistant.process("What's 25 + 17?").then(response=>console.log(response)).catch(error=>console.error(error));// Chat with the agentassistant.chat("What's the weather like today?").then(response=>console.log(response)).catch(error=>console.error(error));
Features
  • Intelligent query processing with strands-agents
  • Calendar tracking, restaurant reservations, and concert ticket booking
  • Interactive command-line interface with visual feedback
  • Extensible architecture for adding custom tools
  • Easy integration with other systems
Visual Interface
The assistant includes a sophisticated visual interface with:
  • Animated spinners showing processing status
  • Color-coded messages for different states
  • Progress tracking for tool operations
  • Graceful error handling
Development
# Create a development environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate# Install development dependencies
pip install -e ".[dev]"# Run tests
pytest
VSCode Integration
For the best development experience with VSCode:
  1. Open the project in VSCode
  2. Select the Python interpreter from the virtual environment:

    • Press Cmd+Shift+P (or Ctrl+Shift+P on Windows)
    • Type "Python: Select Interpreter"
    • Choose the interpreter from the venv folder
License
MIT
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - jariy17/AssistantAI · GitHub
Skip to content
BranchesTags
Repository files navigation
AssistantAGI
A Python package for an AI assistant with AGI capabilities.
Installation
# Create a virtual environment
python -m venv venv
# Activate the virtual environmentsource venv/bin/activate # On Windows: venv\Scripts\activate# Install the package and dependencies
pip install -e .
Usage
As a Module
fromassistant_agiimportprocess# Process a queryresponse=process("What's 25 + 17?")
print(response)
# Access the agent directlyfromassistant_agiimportagentresponse=agent.chat("What's the weather like today?")
Command Line Interface
You can run the assistant directly from the command line:
# Using the console script
assistant-agi
# Or using the Python module
python -m assistant_agi.assistant
REST API
You can run the assistant as a REST API server:
# Install with API dependencies
pip install -e ".[api]"# Run the API server
assistant-agi-api
# Or using the Python module
python -m assistant_agi.api
Node.js Integration
You can call the assistant from Node.js using the provided client:
constAssistantAGI=require('./node_client');// Create an instance of the AssistantAGI clientconstassistant=newAssistantAGI();// Process a queryassistant.process("What's 25 + 17?").then(response=>console.log(response)).catch(error=>console.error(error));// Chat with the agentassistant.chat("What's the weather like today?").then(response=>console.log(response)).catch(error=>console.error(error));
Features
  • Intelligent query processing with strands-agents
  • Calendar tracking, restaurant reservations, and concert ticket booking
  • Interactive command-line interface with visual feedback
  • Extensible architecture for adding custom tools
  • Easy integration with other systems
Visual Interface
The assistant includes a sophisticated visual interface with:
  • Animated spinners showing processing status
  • Color-coded messages for different states
  • Progress tracking for tool operations
  • Graceful error handling
Development
# Create a development environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate# Install development dependencies
pip install -e ".[dev]"# Run tests
pytest
VSCode Integration
For the best development experience with VSCode:
  1. Open the project in VSCode
  2. Select the Python interpreter from the virtual environment:

    • Press Cmd+Shift+P (or Ctrl+Shift+P on Windows)
    • Type "Python: Select Interpreter"
    • Choose the interpreter from the venv folder
License
MIT
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
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var __m = "youtube.com";
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GitHub - jariy17/AssistantAI · GitHub
Skip to content
BranchesTags
Repository files navigation
AssistantAGI
A Python package for an AI assistant with AGI capabilities.
Installation
# Create a virtual environment
python -m venv venv
# Activate the virtual environmentsource venv/bin/activate # On Windows: venv\Scripts\activate# Install the package and dependencies
pip install -e .
Usage
As a Module
fromassistant_agiimportprocess# Process a queryresponse=process("What's 25 + 17?")
print(response)
# Access the agent directlyfromassistant_agiimportagentresponse=agent.chat("What's the weather like today?")
Command Line Interface
You can run the assistant directly from the command line:
# Using the console script
assistant-agi
# Or using the Python module
python -m assistant_agi.assistant
REST API
You can run the assistant as a REST API server:
# Install with API dependencies
pip install -e ".[api]"# Run the API server
assistant-agi-api
# Or using the Python module
python -m assistant_agi.api
Node.js Integration
You can call the assistant from Node.js using the provided client:
constAssistantAGI=require('./node_client');// Create an instance of the AssistantAGI clientconstassistant=newAssistantAGI();// Process a queryassistant.process("What's 25 + 17?").then(response=>console.log(response)).catch(error=>console.error(error));// Chat with the agentassistant.chat("What's the weather like today?").then(response=>console.log(response)).catch(error=>console.error(error));
Features
  • Intelligent query processing with strands-agents
  • Calendar tracking, restaurant reservations, and concert ticket booking
  • Interactive command-line interface with visual feedback
  • Extensible architecture for adding custom tools
  • Easy integration with other systems
Visual Interface
The assistant includes a sophisticated visual interface with:
  • Animated spinners showing processing status
  • Color-coded messages for different states
  • Progress tracking for tool operations
  • Graceful error handling
Development
# Create a development environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate# Install development dependencies
pip install -e ".[dev]"# Run tests
pytest
VSCode Integration
For the best development experience with VSCode:
  1. Open the project in VSCode
  2. Select the Python interpreter from the virtual environment:

    • Press Cmd+Shift+P (or Ctrl+Shift+P on Windows)
    • Type "Python: Select Interpreter"
    • Choose the interpreter from the venv folder
License
MIT
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - jariy17/AssistantAI · GitHub
Skip to content
BranchesTags
Repository files navigation
AssistantAGI
A Python package for an AI assistant with AGI capabilities.
Installation
# Create a virtual environment
python -m venv venv
# Activate the virtual environmentsource venv/bin/activate # On Windows: venv\Scripts\activate# Install the package and dependencies
pip install -e .
Usage
As a Module
fromassistant_agiimportprocess# Process a queryresponse=process("What's 25 + 17?")
print(response)
# Access the agent directlyfromassistant_agiimportagentresponse=agent.chat("What's the weather like today?")
Command Line Interface
You can run the assistant directly from the command line:
# Using the console script
assistant-agi
# Or using the Python module
python -m assistant_agi.assistant
REST API
You can run the assistant as a REST API server:
# Install with API dependencies
pip install -e ".[api]"# Run the API server
assistant-agi-api
# Or using the Python module
python -m assistant_agi.api
Node.js Integration
You can call the assistant from Node.js using the provided client:
constAssistantAGI=require('./node_client');// Create an instance of the AssistantAGI clientconstassistant=newAssistantAGI();// Process a queryassistant.process("What's 25 + 17?").then(response=>console.log(response)).catch(error=>console.error(error));// Chat with the agentassistant.chat("What's the weather like today?").then(response=>console.log(response)).catch(error=>console.error(error));
Features
  • Intelligent query processing with strands-agents
  • Calendar tracking, restaurant reservations, and concert ticket booking
  • Interactive command-line interface with visual feedback
  • Extensible architecture for adding custom tools
  • Easy integration with other systems
Visual Interface
The assistant includes a sophisticated visual interface with:
  • Animated spinners showing processing status
  • Color-coded messages for different states
  • Progress tracking for tool operations
  • Graceful error handling
Development
# Create a development environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate# Install development dependencies
pip install -e ".[dev]"# Run tests
pytest
VSCode Integration
For the best development experience with VSCode:
  1. Open the project in VSCode
  2. Select the Python interpreter from the virtual environment:

    • Press Cmd+Shift+P (or Ctrl+Shift+P on Windows)
    • Type "Python: Select Interpreter"
    • Choose the interpreter from the venv folder
License
MIT
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - jariy17/AssistantAI · GitHub
Skip to content
BranchesTags
Repository files navigation
AssistantAGI
A Python package for an AI assistant with AGI capabilities.
Installation
# Create a virtual environment
python -m venv venv
# Activate the virtual environmentsource venv/bin/activate # On Windows: venv\Scripts\activate# Install the package and dependencies
pip install -e .
Usage
As a Module
fromassistant_agiimportprocess# Process a queryresponse=process("What's 25 + 17?")
print(response)
# Access the agent directlyfromassistant_agiimportagentresponse=agent.chat("What's the weather like today?")
Command Line Interface
You can run the assistant directly from the command line:
# Using the console script
assistant-agi
# Or using the Python module
python -m assistant_agi.assistant
REST API
You can run the assistant as a REST API server:
# Install with API dependencies
pip install -e ".[api]"# Run the API server
assistant-agi-api
# Or using the Python module
python -m assistant_agi.api
Node.js Integration
You can call the assistant from Node.js using the provided client:
constAssistantAGI=require('./node_client');// Create an instance of the AssistantAGI clientconstassistant=newAssistantAGI();// Process a queryassistant.process("What's 25 + 17?").then(response=>console.log(response)).catch(error=>console.error(error));// Chat with the agentassistant.chat("What's the weather like today?").then(response=>console.log(response)).catch(error=>console.error(error));
Features
  • Intelligent query processing with strands-agents
  • Calendar tracking, restaurant reservations, and concert ticket booking
  • Interactive command-line interface with visual feedback
  • Extensible architecture for adding custom tools
  • Easy integration with other systems
Visual Interface
The assistant includes a sophisticated visual interface with:
  • Animated spinners showing processing status
  • Color-coded messages for different states
  • Progress tracking for tool operations
  • Graceful error handling
Development
# Create a development environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate# Install development dependencies
pip install -e ".[dev]"# Run tests
pytest
VSCode Integration
For the best development experience with VSCode:
  1. Open the project in VSCode
  2. Select the Python interpreter from the virtual environment:

    • Press Cmd+Shift+P (or Ctrl+Shift+P on Windows)
    • Type "Python: Select Interpreter"
    • Choose the interpreter from the venv folder
License
MIT
About
No description, website, or topics provided.
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
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style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
GitHub - jariy17/AssistantAI · GitHub
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AssistantAGI
A Python package for an AI assistant with AGI capabilities.
Installation
# Create a virtual environment
python -m venv venv
# Activate the virtual environmentsource venv/bin/activate # On Windows: venv\Scripts\activate# Install the package and dependencies
pip install -e .
Usage
As a Module
fromassistant_agiimportprocess# Process a queryresponse=process("What's 25 + 17?")
print(response)
# Access the agent directlyfromassistant_agiimportagentresponse=agent.chat("What's the weather like today?")
Command Line Interface
You can run the assistant directly from the command line:
# Using the console script
assistant-agi
# Or using the Python module
python -m assistant_agi.assistant
REST API
You can run the assistant as a REST API server:
# Install with API dependencies
pip install -e ".[api]"# Run the API server
assistant-agi-api
# Or using the Python module
python -m assistant_agi.api
Node.js Integration
You can call the assistant from Node.js using the provided client:
constAssistantAGI=require('./node_client');// Create an instance of the AssistantAGI clientconstassistant=newAssistantAGI();// Process a queryassistant.process("What's 25 + 17?").then(response=>console.log(response)).catch(error=>console.error(error));// Chat with the agentassistant.chat("What's the weather like today?").then(response=>console.log(response)).catch(error=>console.error(error));
Features
  • Intelligent query processing with strands-agents
  • Calendar tracking, restaurant reservations, and concert ticket booking
  • Interactive command-line interface with visual feedback
  • Extensible architecture for adding custom tools
  • Easy integration with other systems
Visual Interface
The assistant includes a sophisticated visual interface with:
  • Animated spinners showing processing status
  • Color-coded messages for different states
  • Progress tracking for tool operations
  • Graceful error handling
Development
# Create a development environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate# Install development dependencies
pip install -e ".[dev]"# Run tests
pytest
VSCode Integration
For the best development experience with VSCode:
  1. Open the project in VSCode
  2. Select the Python interpreter from the virtual environment:

    • Press Cmd+Shift+P (or Ctrl+Shift+P on Windows)
    • Type "Python: Select Interpreter"
    • Choose the interpreter from the venv folder
License
MIT
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