MaiBot is an interactive intelligent agent based on a large language model. It aims to be an 'entity' active in QQ group chats, focusing on human-like interactions. It features personification in language style, behavior planning, expression learning, plugin system for unlimited extensions, and emotion expression. The project's design philosophy emphasizes creating a 'life form' in group chats that feels real rather than perfect, with the goal of providing companionship through an AI that makes mistakes and has its own perceptions and thoughts. The code is open-source, but the runtime data of MaiBot is intended to remain closed to maintain its autonomy and conversational nature.

Chatless is a modern AI chat desktop application built on Tauri and Next.js. It supports multiple AI providers, can connect to local Ollama models, supports document parsing and knowledge base functions. All data is stored locally to protect user privacy. The application is lightweight, simple, starts quickly, and consumes minimal resources.

Bailing is an open-source voice assistant designed for natural conversations with users. It combines Automatic Speech Recognition (ASR), Voice Activity Detection (VAD), Large Language Model (LLM), and Text-to-Speech (TTS) technologies to provide a high-quality voice interaction experience similar to GPT-4o. Bailing aims to achieve GPT-4o-like conversation effects without the need for GPU, making it suitable for various edge devices and low-resource environments. The project features efficient open-source models, modular design allowing for module replacement and upgrades, support for memory function, tool integration for information retrieval and task execution via voice commands, and efficient task management with progress tracking and reminders.

Chuanhu Chat is a user-friendly web graphical interface that provides various additional features for ChatGPT and other language models. It supports GPT-4, file-based question answering, local deployment of language models, online search, agent assistant, and fine-tuning. The tool offers a range of functionalities including auto-solving questions, online searching with network support, knowledge base for quick reading, local deployment of language models, GPT 3.5 fine-tuning, and custom model integration. It also features system prompts for effective role-playing, basic conversation capabilities with options to regenerate or delete dialogues, conversation history management with auto-saving and search functionalities, and a visually appealing user experience with themes, dark mode, LaTeX rendering, and PWA application support.

Awesome-ChatTTS is an official recommended guide for ChatTTS beginners, compiling common questions and related resources. It provides a comprehensive overview of the project, including official introduction, quick experience options, popular branches, parameter explanations, voice seed details, installation guides, FAQs, and error troubleshooting. The repository also includes video tutorials, discussion community links, and project trends analysis. Users can explore various branches for different functionalities and enhancements related to ChatTTS.

MaiMBot is an intelligent QQ group chat bot based on a large language model. It is developed using the nonebot2 framework, utilizes LLM for conversation abilities, MongoDB for data persistence, and NapCat for QQ protocol support. The bot features keyword-triggered proactive responses, dynamic prompt construction, support for images and message forwarding, typo generation, multiple replies, emotion-based emoji responses, daily schedule generation, user relationship management, knowledge base, and group impressions. Work-in-progress features include personality, group atmosphere, image handling, humor, meme functions, and Minecraft interactions. The tool is in active development with plans for GIF compatibility, mini-program link parsing, bug fixes, documentation improvements, and logic enhancements for emoji sending.

HaE is a framework project in the field of network security (data security) that combines artificial intelligence (AI) large models to achieve highlighting and information extraction of HTTP messages (including WebSocket). It aims to reduce testing time, focus on valuable and meaningful messages, and improve vulnerability discovery efficiency. The project provides a clear and visual interface design, simple interface interaction, and centralized data panel for querying and extracting information. It also features built-in color upgrade algorithm, one-click export/import of data, and integration of AI large models API for optimized data processing.

LotteryMaster is a tool designed to fetch lottery data, save it to Excel files, and provide analysis reports including number prediction, number recommendation, and number trends. It supports multiple platforms for access such as Web and mobile App. The tool integrates AI models like Qwen API and DeepSeek for generating analysis reports and trend analysis charts. Users can configure API parameters for controlling randomness, diversity, presence penalty, and maximum tokens. The tool also includes a frontend project based on uniapp + Vue3 + TypeScript for multi-platform applications. It provides a backend service running on Fastify with Node.js, Cheerio.js for web scraping, Pino for logging, xlsx for Excel file handling, and Jest for testing. The project is still in development and some features may not be fully implemented. The analysis reports are for reference only and do not constitute investment advice. Users are advised to use the tool responsibly and avoid addiction to gambling.

A project that utilizes large models to help with Code Review on Gitlab, aimed at improving development efficiency. The project is customized for Gitlab and is developing a Multi-Agent plugin for collaborative review. It integrates various large models for code security issues and stays updated with the latest Code Review trends. The project architecture is designed to be powerful, flexible, and efficient, with easy integration of different models and high customization for developers.

MatrixOne is the industry's first database to bring Git-style version control to data, combined with MySQL compatibility, AI-native capabilities, and cloud-native architecture. It is a HTAP (Hybrid Transactional/Analytical Processing) database with a hyper-converged HSTAP engine that seamlessly handles transactional, analytical, full-text search, and vector search workloads in a single unified system—no data movement, no ETL, no compromises. Manage your database like code with features like instant snapshots, time travel, branch & merge, instant rollback, and complete audit trail. Built for the AI era, MatrixOne is MySQL-compatible, AI-native, and cloud-native, offering storage-compute separation, elastic scaling, and Kubernetes-native deployment. It serves as one database for everything, replacing multiple databases and ETL jobs with native OLTP, OLAP, full-text search, and vector search capabilities.

CTFCrackTools X is the next generation of CTFCrackTools, featuring extreme performance and experience, extensible node-based architecture, and future-oriented technology stack. It offers a visual node-based workflow for encoding and decoding processes, with 43+ built-in algorithms covering common CTF needs like encoding, classical ciphers, modern encryption, hashing, and text processing. The tool is lightweight (< 15MB), high-performance, and cross-platform, supporting Windows, macOS, and Linux without the need for a runtime environment. It aims to provide a beginner-friendly tool for CTF enthusiasts to easily work on challenges and improve their skills.

VS Code extension for monitoring Google Antigravity AI model quotas. It provides a webview dashboard, QuickPick mode, quota grouping, automatic grouping, renaming, card view, drag-and-drop sorting, status bar monitoring, threshold notifications, and privacy mode. Users can monitor quota status, remaining percentage, countdown, reset time, progress bar, and model capabilities. The extension supports local and authorized quota monitoring, multiple account authorization, and model wake-up scheduling. It also offers settings customization, user profile display, notifications, and group functionalities. Users can install the extension from the Open VSX Marketplace or via VSIX file. The source code can be built using Node.js and npm. The project is open-source under the MIT license.

Xianyu AutoAgent is an AI customer service robot system specifically designed for the Xianyu platform, providing 24/7 automated customer service, supporting multi-expert collaborative decision-making, intelligent bargaining, and context-aware conversations. The system includes intelligent conversation engine with features like context awareness and expert routing, business function matrix with modules like core engine, bargaining system, technical support, and operation monitoring. It requires Python 3.8+ and NodeJS 18+ for installation and operation. Users can customize prompts for different experts and contribute to the project through issues or pull requests.

BiBi-Keyboard is an AI-based intelligent voice input method that aims to make voice input more natural and efficient. It provides features such as voice recognition with simple and intuitive operations, multiple ASR engine support, AI text post-processing, floating ball input for cross-input method usage, AI editing panel with rich editing tools, Material3 design for modern interface style, and support for multiple languages. Users can adjust keyboard height, test input directly in the settings page, view recognition word count statistics, receive vibration feedback, and check for updates automatically. The tool requires Android 10.0 or higher, microphone permission for voice recognition, optional overlay permission for the floating ball feature, and optional accessibility permission for automatic text insertion.

nndeploy is a tool that allows you to quickly build your visual AI workflow without the need for frontend technology. It provides ready-to-use algorithm nodes for non-AI programmers, including large language models, Stable Diffusion, object detection, image segmentation, etc. The workflow can be exported as a JSON configuration file, supporting Python/C++ API for direct loading and running, deployment on cloud servers, desktops, mobile devices, edge devices, and more. The framework includes mainstream high-performance inference engines and deep optimization strategies to help you transform your workflow into enterprise-level production applications.

ComfyUI GeminiOllama Extension integrates Google's Gemini API, OpenAI (ChatGPT), Anthropic's Claude, Ollama, Qwen, and image processing tools into ComfyUI for leveraging powerful models and features directly within workflows. Features include multiple AI API integrations, advanced prompt engineering, Gemini image generation, background removal, SVG conversion, FLUX resolutions, ComfyUI Styler, smart prompt generator, and more. The extension offers comprehensive API integration, advanced prompt engineering with researched templates, high-quality tools like Smart Prompt Generator and BRIA RMBG, and supports video & audio processing. It provides a single interface to access powerful AI models, transform prompts into detailed instructions, and use various tools for image processing, styling, and content generation.

MaxKB is a knowledge base Q&A system based on the LLM large language model. MaxKB = Max Knowledge Base, which aims to become the most powerful brain of the enterprise.

Large Language Models (LLM) are used to browse the Wolfram directory and associated URLs to create the category structure and good word embeddings. The goal is to generate enriched prompts for GPT, Wikipedia, Arxiv, Google Scholar, Stack Exchange, or Google search. The focus is on one subdirectory: Probability & Statistics. Documentation is in the project textbook `Projects4.pdf`, which is available in the folder. It is recommended to download the document and browse your local copy with Chrome, Edge, or other viewers. Unlike on GitHub, you will be able to click on all the links and follow the internal navigation features. Look for projects related to NLP and LLM / xLLM. The best starting point is project 7.2.2, which is the core project on this topic, with references to all satellite projects. The project textbook (with solutions to all projects) is the core document needed to participate in the free course (deep tech dive) called **GenAI Fellowship**. For details about the fellowship, follow the link provided. An uncompressed version of `crawl_final_stats.txt.gz` is available on Google drive, which contains all the crawled data needed as input to the Python scripts in the XLLM5 and XLLM6 folders.

BlossomLM is a series of open-source conversational large language models. This project aims to provide a high-quality general-purpose SFT dataset in both Chinese and English, making fine-tuning accessible while also providing pre-trained model weights. **Hint**: BlossomLM is a personal non-commercial project.

InternLM is a powerful language model series with features such as 200K context window for long-context tasks, outstanding comprehensive performance in reasoning, math, code, chat experience, instruction following, and creative writing, code interpreter & data analysis capabilities, and stronger tool utilization capabilities. It offers models in sizes of 7B and 20B, suitable for research and complex scenarios. The models are recommended for various applications and exhibit better performance than previous generations. InternLM models may match or surpass other open-source models like ChatGPT. The tool has been evaluated on various datasets and has shown superior performance in multiple tasks. It requires Python >= 3.8, PyTorch >= 1.12.0, and Transformers >= 4.34 for usage. InternLM can be used for tasks like chat, agent applications, fine-tuning, deployment, and long-context inference.

This repository contains a WhatsApp bot that utilizes OpenAI's GPT and DALL-E 2 to respond to user inputs. Users can interact with the bot through voice messages, which are transcribed and responded to. The bot requires Node.js, npm, an OpenAI API key, and a WhatsApp account. It uses Puppeteer to run a real instance of Whatsapp Web to avoid being blocked. However, there is a risk of being blocked by WhatsApp as it does not allow bots or unofficial clients on its platform. The bot is not free to use, and users will be charged by OpenAI for each request made.

Discord AI Bot is a chatbot designed to interact with Ollama and AUTOMATIC1111 Stable Diffusion on Discord. The project is now archived due to lack of maintenance. Users can set up the bot by installing Node.js, Ollama, and a model, creating a Discord bot, and starting the bot with the necessary configurations. Additionally, Docker setup instructions are provided for easy deployment. The bot can be interacted with by mentioning it in Discord messages.

J.A.R.V.I.S. is an offline large language model fine-tuned on custom and open datasets to mimic Jarvis's dialog with Stark. It prioritizes privacy by running locally and excels in responding like Jarvis with a similar tone. Current features include time/date queries, web searches, playing YouTube videos, and webcam image descriptions. Users can interact with Jarvis via command line after installing the model locally using Ollama. Future plans involve voice cloning, voice-to-text input, and deploying the voice model as an API.

AirDC++ Web Client is a locally installed application designed for flexible file sharing within groups over a local network or the internet. It utilizes the Advanced Direct Connect protocol to create file sharing communities with thousands of users. The application offers a responsive web user interface, allows sharing local directories, searching for shared files, saving files, chatting capabilities, browsing shared directories, extension support, and a web API for HTTP REST and WebSockets.

Sweep is an AI junior developer that turns bugs and feature requests into code changes. It automatically handles developer experience improvements like adding type hints and improving test coverage.

The Teams AI Library is a software development kit (SDK) that helps developers create bots that can interact with Teams and Microsoft 365 applications. It is built on top of the Bot Framework SDK and simplifies the process of developing bots that interact with Teams' artificial intelligence capabilities. The SDK is available for JavaScript/TypeScript, .NET, and Python.

This guide is dedicated to Large Language Models (LLMs) that you can run on your home computer. It assumes your PC is a lower-end, non-gaming setup.

Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. Tap into leading cloud-based services like OpenAI, Microsoft Azure AI, Google Gemini and IBM Watson to augment your WordPress-powered websites. Publish content faster while improving SEO performance and increasing audience engagement. ClassifAI integrates Artificial Intelligence and Machine Learning technologies to lighten your workload and eliminate tedious tasks, giving you more time to create original content that matters.

Chatbot UI is an open-source AI chat app that allows users to create and deploy their own AI chatbots. It is easy to use and can be customized to fit any need. Chatbot UI is perfect for businesses, developers, and anyone who wants to create a chatbot.

BricksLLM is a cloud native AI gateway written in Go. Currently, it provides native support for OpenAI, Anthropic, Azure OpenAI and vLLM. BricksLLM aims to provide enterprise level infrastructure that can power any LLM production use cases. Here are some use cases for BricksLLM: * Set LLM usage limits for users on different pricing tiers * Track LLM usage on a per user and per organization basis * Block or redact requests containing PIIs * Improve LLM reliability with failovers, retries and caching * Distribute API keys with rate limits and cost limits for internal development/production use cases * Distribute API keys with rate limits and cost limits for students

uAgents is a Python library developed by Fetch.ai that allows for the creation of autonomous AI agents. These agents can perform various tasks on a schedule or take action on various events. uAgents are easy to create and manage, and they are connected to a fast-growing network of other uAgents. They are also secure, with cryptographically secured messages and wallets.

Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.