ESP32-based voice device for chatting with multiple custom AI bots. Recording questions with I2S microphone, transcribing via ElevenLabs or Deepgram STT, creating response with Groq or Open AI LLM. TTS audio output with custom AI voices via I2S & speaker. Supporting ongoing dialogues, calling bots ‘by name’, real-time web search via keyword.

A rasa bot that can generate and rephrase responses on-the-fly using LLMs

A DFIR Incident Response AI bot using local Ollama LLM to derrive automated findings from logs

Discord AI bot with a hybrid command system, imagination generation, free LLM model, mention recognition, smart message handling, channel-specific responses, GPT integration, secure credential management, & web access for unparalleled functionality.

LangGraph AI Agent is a personal AI bot built using LangGraph, designed to interact with users for various applications. It leverages multiple language models (LLMs) to provide intelligent responses and can be configured according to user preferences.

A self-expanding Discord bot that leverages a vector database for matching questions with existing answers, utilizes a fine-tuned LLM for new queries, and allows users to contribute and vote on responses.

A bot that interacts with a LLM and provides an interface for accepting an input, and can conditionally reach out to request information from a smarthome system, and provide a response.

This project showcases a Slackbot leveraging LlamaIndex for NLP, OpenAI LLM for context-aware responses, and Qdrant for efficient data storage. Explore how this bot listens, learns, and interacts intelligently in Slack channels.

Mock Telegram Bot API server with LLM-generated responses

Simple discord bot that utilizes a local LLM to generate responses.

OpenAI api compatible bot for streaming LLM responses directly in telegram.

A streamlit based chat bot using cohere ai to leverage its llm to build text responses in gpt like manner

A lightweight chat bot similar to OpenAI, featuring prompt handling, API-based LLM responses, and a clean frontend-backend architecture.

Flexible Discord bot powered by the Ollama LLM platform, designed to interact with users using any Ollama model specified via environment variables. Ideal for engaging community conversations and providing dynamic, model-driven responses.

📚PeopleSoft LLM Bot is a Python-based chatbot designed to assist users with queries related to PeopleSoft Issues. The bot leverages natural language processing (NLP) and PDF parsing techniques to extract relevant information from the documents and provide accurate responses to user inquiries. 💻📚

OmniSage: AI-Powered Discord Bot. OmniSage is a versatile Discord bot that leverages Large Language Model (LLMs) to generate intelligent responses, join voice channels, provide text-to-speech functionality, and includes an interactive, AI-powered trivia game. It's designed to be your all-knowing companion in Discord servers.

This project is a Discord bot that uses Retrieval-Augmented Generation (RAG) from EdenAI as a chatbot to respond to users' questions. Built with Python, it leverages the `discord.py` library for Discord interactions and integrates with a Large Language Model (LLM) via EdenAI's API to deliver context-aware, intelligent responses.

RAG bot user query -> AI search -> LLM -> response

a chat bot who call a LLM and manage the response

Telegram bot- Can response to wide range of queries integrated with latest LLMs

MicroRag: A fastAPI for inferencing LLMs and other ML models. + Agent_Kitty, a Discord bot that interacts with the API to provide LLM responses to users.

A Telegram bot that processes audio messages using RAG (Retrieval-Augmented Generation) and LLM technologies. The bot transcribes audio, analyzes content against a knowledge base, and provides relevant responses.

This Discord bot interacts with users by responding to messages using a Large Language Model (LLM). It employs the GROQ API internally to generate responses. Before running the bot, users need to configure their GROQ API key and Discord bot token.

Scaler Inquiry Bot is an AI assistant using LLM, RAG, and a vector database to provide accurate, real-time responses to user queries on the Scaler platform.

Polaris is an AI-powered Discord bot built with Groq's LLM and Discord.js. Engage in natural conversations, get insightful responses, and customize its knowledge base.

An AI-powered customer support bot that combines semantic FAQ search with LLM-based reasoning to deliver accurate, context-aware responses. The system intelligently decides when to answer from stored knowledge, when to invoke an LLM, and when to escalate unresolved queries for human review.

A question-answering bot built using a Retrieval-Augmented Generation (RAG) approach to provide accurate, context-aware answers from custom documents. The system retrieves relevant information before generating responses, improving reliability over standard LLM outputs.

An intelligent macOS iMessage AI bot that monitors conversations and responds naturally using local LLM models. Features smart response logic, conversation memory, interruption handling, and works with both individual and group chats via Ollama integration.

A simple persona-driven chat bot built with Streamlit, integrating OpenAI or Anthropic LLMs to generate responses based on user prompts and a predefined persona. The chat bot includes chat history to provide consistent and context-aware interactions, with results stored in a database for improved user experience.

Full-duplex Python voice assistant using Deepgram STT, Google Gemini 2.5 LLM, and pyttsx3 TTS. Real-time conversational AI voice agent with streaming speech recognition and generative AI responses. Python voice bot integrating Deepgram streaming transcription and Google Gemini LLM for natural conversations. Offline TTS powered full-duplex voice