💡 linux-android | Shell
🎯 Primary Use Case:
Repurposing old Android phones into Linux desktops or smart home servers.
✨ Key Features:
• Install Linux desktop environments (XFCE4, LXQt, MATE, KDE Plasma) on Android via Termux
• Set up Home Assistant for smart home control
• No root or PC required
• Supports GPU acceleration on Qualcomm Snapdragon chips
• Provides scripts to start and stop the Linux environment
📖 Summary:
This repository provides shell scripts to install and run a full Linux desktop environment or a Home Assistant smart home server on an Android device using Termux. It allows repurposing old Android phones without requiring root access or a PC.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Repurposing old Android phones into Linux desktops or smart home servers.
✨ Key Features:
• Install Linux desktop environments (XFCE4, LXQt, MATE, KDE Plasma) on Android via Termux
• Set up Home Assistant for smart home control
• No root or PC required
• Supports GPU acceleration on Qualcomm Snapdragon chips
• Provides scripts to start and stop the Linux environment
📖 Summary:
This repository provides shell scripts to install and run a full Linux desktop environment or a Home Assistant smart home server on an Android device using Termux. It allows repurposing old Android phones without requiring root access or a PC.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 Open-LLM-VTuber | Python
🎯 Primary Use Case:
To create a personal, interactive AI companion with a visual avatar that can be controlled and conversed with using natural voice commands, running locally for privacy and accessibility.
✨ Key Features:
• Hands-free voice interaction
• Voice interruption
• Live2D avatar integration
• Local execution (offline support)
• Cross-platform compatibility
📖 Summary:
Open-LLM-VTuber is a Python-based project enabling hands-free, voice-interactive AI companions with Live2D avatars. It supports real-time conversations, voice interruption, and can run entirely offline on local machines across different platforms.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To create a personal, interactive AI companion with a visual avatar that can be controlled and conversed with using natural voice commands, running locally for privacy and accessibility.
✨ Key Features:
• Hands-free voice interaction
• Voice interruption
• Live2D avatar integration
• Local execution (offline support)
• Cross-platform compatibility
📖 Summary:
Open-LLM-VTuber is a Python-based project enabling hands-free, voice-interactive AI companions with Live2D avatars. It supports real-time conversations, voice interruption, and can run entirely offline on local machines across different platforms.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 babysitter | JavaScript
🎯 Primary Use Case:
To provide a framework for building and managing reliable, auditable, and controlled AI agent workflows, ensuring they execute tasks precisely as defined and preventing unintended or erroneous actions.
✨ Key Features:
• Enforces obedience on agentic workforces
• Manages complex tasks and workflows
• Deterministic, hallucination-free self-orchestration
📖 Summary:
Babysitter is a JavaScript library designed to enforce strict obedience and deterministic execution within AI agent workforces. It enables the management of complex tasks and workflows by ensuring agents follow predefined steps, pass quality gates, and undergo human approval when necessary, all while maintaining an immutable record of decisions.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide a framework for building and managing reliable, auditable, and controlled AI agent workflows, ensuring they execute tasks precisely as defined and preventing unintended or erroneous actions.
✨ Key Features:
• Enforces obedience on agentic workforces
• Manages complex tasks and workflows
• Deterministic, hallucination-free self-orchestration
📖 Summary:
Babysitter is a JavaScript library designed to enforce strict obedience and deterministic execution within AI agent workforces. It enables the management of complex tasks and workflows by ensuring agents follow predefined steps, pass quality gates, and undergo human approval when necessary, all while maintaining an immutable record of decisions.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ PdfDing | Python
🎯 Primary Use Case:
Self-hosted management, viewing, and editing of PDF documents across multiple devices.
✨ Key Features:
• Browser-based PDF viewing with position memory
• Workspaces, collections, multi-level tagging, starring, archiving
• PDF editing (text, highlighting, drawings)
• Digital signatures
• Export highlights and comments
📖 Summary:
PdfDing is a self-hosted PDF management, viewing, and editing application designed for seamless multi-device use. It offers features like workspaces, tagging, highlighting, and annotation, with a focus on a clean UI and easy Docker-based setup.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Self-hosted management, viewing, and editing of PDF documents across multiple devices.
✨ Key Features:
• Browser-based PDF viewing with position memory
• Workspaces, collections, multi-level tagging, starring, archiving
• PDF editing (text, highlighting, drawings)
• Digital signatures
• Export highlights and comments
📖 Summary:
PdfDing is a self-hosted PDF management, viewing, and editing application designed for seamless multi-device use. It offers features like workspaces, tagging, highlighting, and annotation, with a focus on a clean UI and easy Docker-based setup.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ copilot-sdk | Java
🎯 Primary Use Case:
Enabling developers to embed GitHub Copilot's AI agent capabilities into their own applications and services.
✨ Key Features:
• Multi-platform SDKs (Python, TypeScript, Go, .NET, Java, Rust)
• Integrates GitHub Copilot Agent into applications
• Exposes production-tested agent runtime
📖 Summary:
The GitHub Copilot SDK provides a set of libraries for multiple programming languages (Python, TypeScript, Go, .NET, Java, Rust) that allow developers to integrate GitHub Copilot's agentic workflows directly into their applications and services. It exposes the core engine of Copilot CLI, enabling programmatic invocation of agent behaviors, including planning, tool usage, and file modifications, without requiring developers to build their own orchestration logic.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Enabling developers to embed GitHub Copilot's AI agent capabilities into their own applications and services.
✨ Key Features:
• Multi-platform SDKs (Python, TypeScript, Go, .NET, Java, Rust)
• Integrates GitHub Copilot Agent into applications
• Exposes production-tested agent runtime
📖 Summary:
The GitHub Copilot SDK provides a set of libraries for multiple programming languages (Python, TypeScript, Go, .NET, Java, Rust) that allow developers to integrate GitHub Copilot's agentic workflows directly into their applications and services. It exposes the core engine of Copilot CLI, enabling programmatic invocation of agent behaviors, including planning, tool usage, and file modifications, without requiring developers to build their own orchestration logic.
🔗 Links:
• View Project
================
🔓 Open Source
🌟 Vibe-Trading | Python
🎯 Primary Use Case:
To provide an intelligent, automated, and comprehensive platform for individuals and developers to engage in algorithmic trading, strategy development, and backtesting using advanced AI and multi-agent techniques.
✨ Key Features:
• Multi-agent trading system
• AI-powered trading strategies
• LLM integration for agent capabilities
• Comprehensive backtesting framework
📖 Summary:
Vibe-Trading is a Python-based personal trading agent designed to empower users with comprehensive trading capabilities. It leverages multi-agent systems, AI, and LLMs for algorithmic trading, backtesting, and portfolio management, offering a flexible and powerful platform for quantitative finance.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide an intelligent, automated, and comprehensive platform for individuals and developers to engage in algorithmic trading, strategy development, and backtesting using advanced AI and multi-agent techniques.
✨ Key Features:
• Multi-agent trading system
• AI-powered trading strategies
• LLM integration for agent capabilities
• Comprehensive backtesting framework
📖 Summary:
Vibe-Trading is a Python-based personal trading agent designed to empower users with comprehensive trading capabilities. It leverages multi-agent systems, AI, and LLMs for algorithmic trading, backtesting, and portfolio management, offering a flexible and powerful platform for quantitative finance.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ awesome-android-root | Python
🎯 Primary Use Case:
To serve as a centralized, curated, and easily navigable resource for discovering and learning about Android rooting tools, modules, and guides.
✨ Key Features:
• Curated list of 500+ root apps and modules
• Support for Magisk, KernelSU, and LSPosed (Xposed)
📖 Summary:
Awesome Android Root is a comprehensive resource hub for Android rooting enthusiasts. It curates over 500 top root apps, Magisk, KernelSU, and LSPosed modules, along with detailed rooting guides for various devices. The repository aims to be the ultimate destination for discovering and managing tools and information related to rooting Android devices.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To serve as a centralized, curated, and easily navigable resource for discovering and learning about Android rooting tools, modules, and guides.
✨ Key Features:
• Curated list of 500+ root apps and modules
• Support for Magisk, KernelSU, and LSPosed (Xposed)
📖 Summary:
Awesome Android Root is a comprehensive resource hub for Android rooting enthusiasts. It curates over 500 top root apps, Magisk, KernelSU, and LSPosed modules, along with detailed rooting guides for various devices. The repository aims to be the ultimate destination for discovering and managing tools and information related to rooting Android devices.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
❤1
🌟 Reversecore_MCP | HTML
🎯 Primary Use Case:
To empower AI agents and security professionals to conduct sophisticated reverse engineering, malware analysis, vulnerability research, and digital forensics by translating natural language queries into automated, multi-tool analysis workflows.
✨ Key Features:
• AI-Powered Security Analysis
• Integrated Static & Dynamic Analysis
• 50+ Analysis Tools (Radare2, YARA, LIEF, Capstone, etc.)
📖 Summary:
Reversecore MCP is an enterprise-grade server that integrates over 50 analysis tools to enable AI agents to perform advanced security tasks like reverse engineering, malware analysis, and vulnerability research through natural language commands. It acts as a bridge, translating human intent into complex, multi-tool security analysis workflows.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To empower AI agents and security professionals to conduct sophisticated reverse engineering, malware analysis, vulnerability research, and digital forensics by translating natural language queries into automated, multi-tool analysis workflows.
✨ Key Features:
• AI-Powered Security Analysis
• Integrated Static & Dynamic Analysis
• 50+ Analysis Tools (Radare2, YARA, LIEF, Capstone, etc.)
📖 Summary:
Reversecore MCP is an enterprise-grade server that integrates over 50 analysis tools to enable AI agents to perform advanced security tasks like reverse engineering, malware analysis, and vulnerability research through natural language commands. It acts as a bridge, translating human intent into complex, multi-tool security analysis workflows.
🔗 Links:
• View Project
================
🔓 Open Source
🚀 skills | Python
🎯 Primary Use Case:
To provide developers with ready-to-use components (skills) that enhance AI agents, allowing them to interact with and leverage Google Cloud services and other Google technologies more efficiently.
✨ Key Features:
• Pre-built Agent Skills for Google products and technologies
• Integration with Google Cloud services (e.g., Gemini API, BigQuery, GKE, Firebase)
• Modular installation via `npx skills add`
📖 Summary:
This repository provides a collection of pre-built 'Agent Skills' designed to integrate with Google products and technologies, particularly Google Cloud services. These skills enable developers to easily add complex functionalities to their AI agents, streamlining development and interaction with Google's ecosystem.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To provide developers with ready-to-use components (skills) that enhance AI agents, allowing them to interact with and leverage Google Cloud services and other Google technologies more efficiently.
✨ Key Features:
• Pre-built Agent Skills for Google products and technologies
• Integration with Google Cloud services (e.g., Gemini API, BigQuery, GKE, Firebase)
• Modular installation via `npx skills add`
📖 Summary:
This repository provides a collection of pre-built 'Agent Skills' designed to integrate with Google products and technologies, particularly Google Cloud services. These skills enable developers to easily add complex functionalities to their AI agents, streamlining development and interaction with Google's ecosystem.
🔗 Links:
• View Project
================
🔓 Open Source
💡 whichllm | Python
🎯 Primary Use Case:
To help users identify and select the most performant local LLM that can run effectively on their specific computer hardware, bypassing simple parameter count metrics.
✨ Key Features:
• Auto-detects hardware (GPU/CPU/RAM)
• Ranks LLMs from HuggingFace based on real benchmarks and hardware fit
• Supports various installation methods (uvx, pip, brew)
• Allows simulation of different hardware configurations
📖 Summary:
whichllm is a command-line tool that helps users find and run the best-performing Large Language Models (LLMs) locally on their specific hardware. It benchmarks models based on real-world performance and hardware compatibility, rather than just parameter count, providing a ranked list of suitable LLMs.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To help users identify and select the most performant local LLM that can run effectively on their specific computer hardware, bypassing simple parameter count metrics.
✨ Key Features:
• Auto-detects hardware (GPU/CPU/RAM)
• Ranks LLMs from HuggingFace based on real benchmarks and hardware fit
• Supports various installation methods (uvx, pip, brew)
• Allows simulation of different hardware configurations
📖 Summary:
whichllm is a command-line tool that helps users find and run the best-performing Large Language Models (LLMs) locally on their specific hardware. It benchmarks models based on real-world performance and hardware compatibility, rather than just parameter count, providing a ranked list of suitable LLMs.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 GeoSentinel | HTML
🎯 Primary Use Case:
Real-time global movement monitoring and geopolitical awareness for analysis and decision-making.
✨ Key Features:
• Real-time ship and flight tracking
• Aggregation of geodata
• Geographic and geopolitical awareness
• Analysis and visualization tools
• Darkweb search via TOR
📖 Summary:
GeoSentinel is a real-time geospatial monitoring platform that aggregates ship, flight, and geodata to provide global movement awareness. It offers tools for analysis, visualization, and decision-making, including advanced features like dark web searching and AI-powered assistance.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Real-time global movement monitoring and geopolitical awareness for analysis and decision-making.
✨ Key Features:
• Real-time ship and flight tracking
• Aggregation of geodata
• Geographic and geopolitical awareness
• Analysis and visualization tools
• Darkweb search via TOR
📖 Summary:
GeoSentinel is a real-time geospatial monitoring platform that aggregates ship, flight, and geodata to provide global movement awareness. It offers tools for analysis, visualization, and decision-making, including advanced features like dark web searching and AI-powered assistance.
🔗 Links:
• View Project
================
🔓 Open Source
🚀 CasaOS | Go
🎯 Primary Use Case:
To provide a user-friendly, self-hosted personal cloud experience for managing applications and services.
✨ Key Features:
• Simple and elegant UI
• Easy app installation and management
• Supports Docker applications
• Extensible plugin system
• Focus on user autonomy and cost reduction
📖 Summary:
CasaOS is an open-source personal cloud operating system designed for ease of use and elegance. It allows users to easily manage applications and services on their own hardware, providing a self-hosted alternative to cloud services.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide a user-friendly, self-hosted personal cloud experience for managing applications and services.
✨ Key Features:
• Simple and elegant UI
• Easy app installation and management
• Supports Docker applications
• Extensible plugin system
• Focus on user autonomy and cost reduction
📖 Summary:
CasaOS is an open-source personal cloud operating system designed for ease of use and elegance. It allows users to easily manage applications and services on their own hardware, providing a self-hosted alternative to cloud services.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 youre-the-os | Python
🎯 Primary Use Case:
A simulation game where players experience and manage the core functions of an operating system.
✨ Key Features:
• Process management
• Memory management
• I/O event handling
• User impatience mechanic
• Desktop application
📖 Summary:
You're the OS! is a Python-based game where players act as a computer's operating system. The core gameplay involves managing processes, memory, and I/O events to keep the user happy and prevent system reboots. It can be played as a desktop application or a web version.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
A simulation game where players experience and manage the core functions of an operating system.
✨ Key Features:
• Process management
• Memory management
• I/O event handling
• User impatience mechanic
• Desktop application
📖 Summary:
You're the OS! is a Python-based game where players act as a computer's operating system. The core gameplay involves managing processes, memory, and I/O events to keep the user happy and prevent system reboots. It can be played as a desktop application or a web version.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 sia | Python
🎯 Primary Use Case:
To autonomously improve the performance of AI models or agents on specific benchmark tasks through a self-correcting and self-refining loop.
✨ Key Features:
• Autonomous performance improvement for AI systems
• Iterative refinement loop with meta, target, and feedback agents
• Updates both harness and weights of task-specific agents
• Supports multiple LLM providers (OpenAI, Anthropic, Gemini)
📖 Summary:
SIA is a Self-Improving AI framework designed to autonomously enhance the performance of any AI system on benchmark tasks. It achieves this through an iterative loop involving a meta-agent, a target agent, and a feedback agent, which collectively refine the target agent's capabilities.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To autonomously improve the performance of AI models or agents on specific benchmark tasks through a self-correcting and self-refining loop.
✨ Key Features:
• Autonomous performance improvement for AI systems
• Iterative refinement loop with meta, target, and feedback agents
• Updates both harness and weights of task-specific agents
• Supports multiple LLM providers (OpenAI, Anthropic, Gemini)
📖 Summary:
SIA is a Self-Improving AI framework designed to autonomously enhance the performance of any AI system on benchmark tasks. It achieves this through an iterative loop involving a meta-agent, a target agent, and a feedback agent, which collectively refine the target agent's capabilities.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 bytechef | Java
🎯 Primary Use Case:
Unifying AI agent orchestration and workflow automation for enterprise applications, enabling complex AI-driven processes and integrations.
✨ Key Features:
• AI Agent Orchestration
• Workflow Automation
• Drag-and-drop AI Agent component
• Streaming and structured output for agents
• Support for 14 LLM providers
📖 Summary:
ByteChef is an open-source platform that unifies AI agent orchestration and workflow automation. It allows for the creation and management of complex AI agents with integrated tools, memory, and guardrails, alongside a visual workflow editor for automating tasks. This platform is designed for enterprises, offering self-hosted deployment and embeddability into other products.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Unifying AI agent orchestration and workflow automation for enterprise applications, enabling complex AI-driven processes and integrations.
✨ Key Features:
• AI Agent Orchestration
• Workflow Automation
• Drag-and-drop AI Agent component
• Streaming and structured output for agents
• Support for 14 LLM providers
📖 Summary:
ByteChef is an open-source platform that unifies AI agent orchestration and workflow automation. It allows for the creation and management of complex AI agents with integrated tools, memory, and guardrails, alongside a visual workflow editor for automating tasks. This platform is designed for enterprises, offering self-hosted deployment and embeddability into other products.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ PokieTicker | Python
🎯 Primary Use Case:
To provide stock market beginners with an event-driven understanding of stock price fluctuations by correlating news events with price movements and offering AI-driven explanations and predictions.
✨ Key Features:
• News on the chart
• Filter by impact type
• Find similar events
• AI explains price moves
• Predict trends
📖 Summary:
PokieTicker is a Python application that helps users understand the 'why' behind stock price movements by integrating news events directly onto candlestick charts. It allows for filtering news by impact type, finding similar historical events, and uses AI to explain price changes and predict future trends based on news sentiment and technical indicators.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To provide stock market beginners with an event-driven understanding of stock price fluctuations by correlating news events with price movements and offering AI-driven explanations and predictions.
✨ Key Features:
• News on the chart
• Filter by impact type
• Find similar events
• AI explains price moves
• Predict trends
📖 Summary:
PokieTicker is a Python application that helps users understand the 'why' behind stock price movements by integrating news events directly onto candlestick charts. It allows for filtering news by impact type, finding similar historical events, and uses AI to explain price changes and predict future trends based on news sentiment and technical indicators.
🔗 Links:
• View Project
================
🔓 Open Source
🚀 Lastfm-Playing | Python
🎯 Primary Use Case:
To display a user's currently playing or recently played music tracks from Last.FM as a dynamic SVG image within a GitHub repository's README file.
✨ Key Features:
• Generates SVG cards for Last.FM playing tracks
• Customizable with user and test parameters
• Designed for GitHub README integration
• Self-hosting option available
📖 Summary:
This Python tool generates a customizable SVG card displaying a user's most recently played tracks on Last.FM. It's designed to be easily integrated into GitHub README files, providing a dynamic visual representation of listening habits.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To display a user's currently playing or recently played music tracks from Last.FM as a dynamic SVG image within a GitHub repository's README file.
✨ Key Features:
• Generates SVG cards for Last.FM playing tracks
• Customizable with user and test parameters
• Designed for GitHub README integration
• Self-hosting option available
📖 Summary:
This Python tool generates a customizable SVG card displaying a user's most recently played tracks on Last.FM. It's designed to be easily integrated into GitHub README files, providing a dynamic visual representation of listening habits.
🔗 Links:
• View Project
================
🔓 Open Source
💡 arcade_ai | Dart
🎯 Primary Use Case:
To provide a unified and user-friendly mobile interface for interacting with a wide range of Large Language Models from different providers on Android devices.
✨ Key Features:
• 12 built-in providers + custom endpoint support
• Streaming responses
• Reasoning view for complex models
• Vision capabilities (image input)
• Model comparison feature
📖 Summary:
Arcade AI is a universal Android chat client that connects to multiple Large Language Models (LLMs) from various providers. It offers a fluid, secure, and customizable interface for interacting with different AI models, including global, regional, and local options.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To provide a unified and user-friendly mobile interface for interacting with a wide range of Large Language Models from different providers on Android devices.
✨ Key Features:
• 12 built-in providers + custom endpoint support
• Streaming responses
• Reasoning view for complex models
• Vision capabilities (image input)
• Model comparison feature
📖 Summary:
Arcade AI is a universal Android chat client that connects to multiple Large Language Models (LLMs) from various providers. It offers a fluid, secure, and customizable interface for interacting with different AI models, including global, regional, and local options.
🔗 Links:
• View Project
================
🔓 Open Source
🌟 cap4d | Python
🎯 Primary Use Case:
Generating animatable 4D portrait avatars from input images.
✨ Key Features:
• Creation of animatable 4D portrait avatars
• Utilizes morphable multi-view diffusion models
• Supports generation from a few reference images
• Includes a real-time viewer for exported animations
• Provides scripts for quick start, inference, and custom inference
📖 Summary:
CAP4D is an official repository for creating animatable 4D portrait avatars from a few reference images using morphable multi-view diffusion models. It enables the generation of dynamic 3D avatars that can be animated and viewed in real-time.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Generating animatable 4D portrait avatars from input images.
✨ Key Features:
• Creation of animatable 4D portrait avatars
• Utilizes morphable multi-view diffusion models
• Supports generation from a few reference images
• Includes a real-time viewer for exported animations
• Provides scripts for quick start, inference, and custom inference
📖 Summary:
CAP4D is an official repository for creating animatable 4D portrait avatars from a few reference images using morphable multi-view diffusion models. It enables the generation of dynamic 3D avatars that can be animated and viewed in real-time.
🔗 Links:
• View Project
================
🔓 Open Source
✨ AI-Asistent-Telegram | Python
🎯 Primary Use Case:
To automate and enhance communication for Telegram Business accounts by providing an AI assistant that can handle customer interactions, manage groups, and perform various utility tasks.
✨ Key Features:
• AI-powered responses (GPT-4.1-mini or fallback API)
• Token auto-rotation for GitHub API limits
• Aggressive and caring response modes
• Group administration commands (kick, ban, mute, spam protection)
📖 Summary:
This Python repository provides a Telegram bot designed for Telegram Business accounts, acting as a personal AI assistant. It offers AI-powered responses, customizable interaction modes (business, aggressive, caring), and administrative tools for group management, alongside utility functions.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To automate and enhance communication for Telegram Business accounts by providing an AI assistant that can handle customer interactions, manage groups, and perform various utility tasks.
✨ Key Features:
• AI-powered responses (GPT-4.1-mini or fallback API)
• Token auto-rotation for GitHub API limits
• Aggressive and caring response modes
• Group administration commands (kick, ban, mute, spam protection)
📖 Summary:
This Python repository provides a Telegram bot designed for Telegram Business accounts, acting as a personal AI assistant. It offers AI-powered responses, customizable interaction modes (business, aggressive, caring), and administrative tools for group management, alongside utility functions.
🔗 Links:
• View Project
================
🔓 Open Source