Chatbot-Grok is an open-source Python AI chatbot framework enabling seamless multi-turn dialogues with memory support, customizable prompts, and modular integration with Grok and messaging platforms like Telegram.
AI Platforms & Frameworks
Personal Assistants
Digital Workers
#AI chatbot development
#multi-turn dialogue
#chat memory retention
#custom prompt templates
#modular AI architecture
#Telegram chatbot integration
#Slack bot development
#Rapid Prototyping
#open-source chatbots
#extensible chatbot framework
#cross-platform bot support
#conversational AI tools
#plugin architecture
#Python chatbot framework
#community-driven development
#chat assistant deployment
#user-friendly bot design
#scalable AI applications
#chatbot management
#interactive bot solutions
...
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Chatbot-Grok
Chatbot-Grok is an open-source Python AI chatbot framework enabling seamless multi-turn dialogues with memory support, customizable prompts, and modular integration with Grok and messaging platforms like Telegram.
AI Platforms & Frameworks
Personal Assistants
Digital Workers
#AI chatbot development
#multi-turn dialogue
#chat memory retention
#custom prompt templates
#modular AI architecture
#Telegram chatbot integration
#Slack bot development
#Rapid Prototyping
#open-source chatbots
#extensible chatbot framework
#cross-platform bot support
#conversational AI tools
#plugin architecture
#Python chatbot framework
#community-driven development
#chat assistant deployment
#user-friendly bot design
#scalable AI applications
#chatbot management
#interactive bot solutions
...
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What is Chatbot-Grok?
Chatbot-Grok provides a modular AI Agent framework written in Python, designed to simplify development of conversational bots. It supports multi-turn dialogue management, retains chat memory across sessions, and allows users to define custom prompt templates. The architecture is extensible, letting developers integrate various LLMs including Grok, and connect to platforms such as Telegram or Slack. With clear code organization and plugin-friendly structure, Chatbot-Grok accelerates prototyping and deployment of production-ready chat assistants.
Who will use Chatbot-Grok?
- Python developers
- AI researchers
- Chatbot hobbyists
- Product teams prototyping conversational agents
How to use the Chatbot-Grok?
- Step1: Clone the repository: git clone https://github.com/lebathang/chatbot-Grok.git
- Step2: Install dependencies: pip install -r requirements.txt
- Step3: Configure your API keys in config.yaml or environment variables
- Step4: Define custom prompt templates in prompts/ directory
- Step5: Run the bot: python bot.py
- Step6: Connect to Telegram by adding your bot token in config and restarting
Platform
- mac
- windows
- linux
Chatbot-Grok's Core Features & Benefits
The Core Features
- Multi-turn dialogue management
- Persistent chat memory
- Customizable prompt templates
- Modular integration with Grok API
- Plugin-friendly architecture
- Supports Telegram and Slack connectors
The Benefits
- Rapid prototyping of chatbots
- High extensibility for custom use cases
- Open-source and community-driven
- Cross-platform compatibility
- Clear code structure for easy maintenance
Chatbot-Grok's Main Use Cases & Applications
- Customer support automated agent
- Personal assistant in command line
- Telegram group chat bot
- Educational Q&A chatbot
- Prototype for enterprise conversational services
FAQs of Chatbot-Grok
Chatbot-Grok Company Information
Chatbot-Grok Reviews
5/5
Chatbot-Grok's Main Competitors and alternatives?
- Rasa
- Botpress
- Microsoft Bot Framework
- ChatterBot
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