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AI Chatbot Framework

A python chatbot framework with Natural Language Understanding and Artificial Intelligence.

AI Chatbot Framework

A python chatbot framework with Natural Language Understanding and Artificial Intelligence.

Author Avatar Theme by alfredfrancis
Github Stars Github Stars: 2141
Last Commit Last Commit: Feb 3, 2025 -
First Commit Created: Feb 6, 2025 -
AI Chatbot Framework screenshot

Overview

The AI Chatbot Framework is an innovative open-source platform designed for users looking to create their own chatbots without needing to dive deep into coding. Built in Python, this self-hosted solution provides an intuitive interface that simplifies the process of developing conversational AI. With a focus on natural language understanding, this framework allows users to build sophisticated bots that can interact seamlessly across various channels like Messenger and Slack.

What sets the AI Chatbot Framework apart is its emphasis on accessibility, enabling even those with minimal AI knowledge to harness the capabilities of advanced chatbots. You can effortlessly create multi-turn conversations, manage context, and deploy your bot in just a short time. This framework is a perfect solution for individuals and businesses interested in enhancing their communication through effective AI-powered chatbots.

Features

  • Fully Self-Hosted: Enjoy complete control over your chatbot deployment without relying on third-party servers.

  • Low-Code DIY Admin Dashboard: Build and manage your bots easily with a user-friendly interface designed for developers and non-developers alike.

  • Multi-Turn Conversations: Create engaging and dynamic interactions that allow your chatbot to handle complex dialogues seamlessly.

  • API Request Fulfillment: Enhance your bot’s capabilities with tool calling for additional functionalities and integrations.

  • Persistent Memory & Context Management: Enable your chatbot to remember previous interactions, providing a more personalized experience for users.

  • Advanced Natural Language Understanding (NLU): Leverage powerful NLU features to improve your bot’s understanding of user intent.

  • Intent Recognition & Entity Extraction: Utilize machine learning to accurately identify user intents and extract relevant information from conversations.

  • Channel Integrations: Deploy your chatbot across multiple channels such as Facebook Messenger, Slack, and WhatsApp, ensuring a wider reach.