AgentChat

AgentChat is a modern intelligent conversation system built on large language models, providing rich AI conversation features. The system adopts a front-end and back-end separation architecture, supporting various AI models, knowledge base retrieval, tool invocation, MCP server integration, and other advanced functions. It features multiple model support, intelligent agents supporting collaboration, precise knowledge retrieval with RAG technology, a tool ecosystem with customizable extensions, MCP integration supporting Model Context Protocol servers, real-time conversation with smooth user experience, and a modern interface based on Vue 3 and Element Plus.

Adnify is an advanced code editor with ultimate visual experience and deep integration of AI Agent. It goes beyond traditional IDEs, featuring Cyberpunk glass morphism design style and a powerful AI Agent supporting full automation from code generation to file operations.

The ai_quant_trade repository is a comprehensive platform for stock AI trading, offering learning, simulation, and live trading capabilities. It includes features such as factor mining, traditional strategies, machine learning, deep learning, reinforcement learning, graph networks, and high-frequency trading. The repository provides tools for monitoring stocks, stock recommendations, and deployment tools for live trading. It also features new functionalities like sentiment analysis using StructBERT, reinforcement learning for multi-stock trading with a 53% annual return, automatic factor mining with 5000 factors, customized stock monitoring software, and local deep reinforcement learning strategies.

py-xiaozhi is a Python-based XiaoZhi voice client designed for learning through code and experiencing AI XiaoZhi's voice functions without hardware conditions. The repository is based on the xiaozhi-esp32 port. It supports AI voice interaction, visual multimodal capabilities, IoT device integration, online music playback, voice wake-up, automatic conversation mode, graphical user interface, command-line mode, cross-platform support, volume control, session management, encrypted audio transmission, automatic captcha handling, automatic MAC address retrieval, code modularization, and stability optimization.

XiaoyaoSearch is a cross-platform local desktop application designed for knowledge workers, content creators, and developers. It integrates AI models to support various input methods such as voice, text, and image to intelligently search local files. The application is free for non-commercial use, provides source code and development documentation, and ensures privacy by running locally without uploading data to the cloud. It features modern interface design using Electron, Vue 3, and TypeScript.

PromptHub is a versatile tool for generating prompts and ideas to spark creativity and overcome writer's block. It provides a wide range of customizable prompts and exercises to inspire writers, artists, educators, and anyone looking to enhance their creative thinking. With PromptHub, users can access a diverse collection of prompts across various categories such as writing, drawing, brainstorming, and more. The tool offers a user-friendly interface and allows users to save and share their favorite prompts for future reference. Whether you're a professional writer seeking inspiration or a student looking to boost your creativity, PromptHub is the perfect companion to ignite your imagination and enhance your creative process.

Torch-RecHub is a lightweight, efficient, and user-friendly PyTorch recommendation system framework. It provides easy-to-use solutions for industrial-level recommendation systems, with features such as generative recommendation models, modular design for adding new models and datasets, PyTorch-based implementation for GPU acceleration, a rich library of 30+ classic and cutting-edge recommendation algorithms, standardized data loading, training, and evaluation processes, easy configuration through files or command-line parameters, reproducibility of experimental results, ONNX model export for production deployment, cross-engine data processing with PySpark support, and experiment visualization and tracking with integrated tools like WandB, SwanLab, and TensorBoardX.

Banana-slides is a native AI-powered PPT generation application based on the nano banana pro model. It supports generating complete PPT presentations from ideas, outlines, and page descriptions. The app automatically extracts attachment charts, uploads any materials, and allows verbal modifications, aiming to truly 'Vibe PPT'. It lowers the threshold for creating PPTs, enabling everyone to quickly create visually appealing and professional presentations.

TradeCat is a comprehensive data analysis and trading platform designed for cryptocurrency, stock, and macroeconomic data. It offers a wide range of features including multi-market data collection, technical indicator modules, AI analysis, signal detection engine, Telegram bot integration, and more. The platform utilizes technologies like Python, TimescaleDB, TA-Lib, Pandas, NumPy, and various APIs to provide users with valuable insights and tools for trading decisions. With a modular architecture and detailed documentation, TradeCat aims to empower users in making informed trading decisions across different markets.

AI+CloudOps is a cloud-native operations management platform designed for enterprises. It aims to integrate artificial intelligence technology with cloud-native practices to significantly improve the efficiency and level of operations work. The platform offers features such as AIOps for monitoring data analysis and alerts, multi-dimensional permission management, visual CMDB for resource management, efficient ticketing system, deep integration with Prometheus for real-time monitoring, and unified Kubernetes management for cluster optimization.

LunaBox is a lightweight, fast, and feature-rich tool for managing and tracking visual novels, with the ability to customize game categories, automatically track playtime, generate personalized reports through AI analysis, import data from other platforms, backup data locally or on cloud services, and ensure privacy and security by storing sensitive data locally. The tool supports multi-dimensional statistics, offers a variety of customization options, and provides a user-friendly interface for easy navigation and usage.

WenShape is a context engineering system for creating long novels. It addresses the challenge of narrative consistency over thousands of words by using an orchestrated writing process, dynamic fact tracking, and precise token budget management. All project data is stored in YAML/Markdown/JSONL text format, naturally supporting Git version control.

UnitySkills is an AI-driven Unity editor automation engine based on REST API. It allows AI to directly control Unity scenes through Skills. The tool offers extreme efficiency with Result Truncation and SKILL.md slimming, a versatile tool library with 282 Skills supporting Batch operations, ensuring transactional safety with automatic rollback, multiple instance support for controlling multiple Unity projects simultaneously, deep integration with Antigravity Slash Commands for interactive experience, compatibility with popular AI terminals like Claude Code, Antigravity, Gemini CLI, and support for Cinemachine 2.x/3.x dual versions with advanced camera control features like MixingCamera, ClearShot, TargetGroup, and Spline.

VocoType is a free desktop voice input method designed for professionals who value privacy and efficiency. All recognition is done locally, ensuring offline operation and no data upload. The CLI open-source version of the VocoType core engine on GitHub is mainly targeted at developers.

Resume-design is an open-source and free resume design and template download website, built with Vue3 + TypeScript + Vite + Element-plus + pinia. It provides two design tools for creating beautiful resumes and a complete backend management system. The project has released two frontend versions and will integrate with a backend system in the future. Users can learn frontend by downloading the released versions or learn design tools by pulling the latest frontend code.

ChatFAQ is an open-source comprehensive platform for creating a wide variety of chatbots: generic ones, business-trained, or even capable of redirecting requests to human operators. It includes a specialized NLP/NLG engine based on a RAG architecture and customized chat widgets, ensuring a tailored experience for users and avoiding vendor lock-in.

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.

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.

Superagent is an open source framework that enables any developer to integrate production ready AI Assistants into any application in a matter of minutes.

Chainlit is an open-source async Python framework which allows developers to build scalable Conversational AI or agentic applications. It enables users to create ChatGPT-like applications, embedded chatbots, custom frontends, and API endpoints. The framework provides features such as multi-modal chats, chain of thought visualization, data persistence, human feedback, and an in-context prompt playground. Chainlit is compatible with various Python programs and libraries, including LangChain, Llama Index, Autogen, OpenAI Assistant, and Haystack. It offers a range of examples and a cookbook to showcase its capabilities and inspire users. Chainlit welcomes contributions and is licensed under the Apache 2.0 license.

This repo contains sample applications that show how to use Neo4j with the generative AI capabilities in Google Cloud Vertex AI. We explore how to leverage Google generative AI to build and consume a knowledge graph in Neo4j.

MemGPT is a system that intelligently manages different memory tiers in LLMs in order to effectively provide extended context within the LLM's limited context window. For example, MemGPT knows when to push critical information to a vector database and when to retrieve it later in the chat, enabling perpetual conversations. MemGPT can be used to create perpetual chatbots with self-editing memory, chat with your data by talking to your local files or SQL database, and more.

Py-GPT is a Python library that provides an easy-to-use interface for OpenAI's GPT-3 API. It allows users to interact with the powerful GPT-3 model for various natural language processing tasks. With Py-GPT, developers can quickly integrate GPT-3 capabilities into their applications, enabling them to generate text, answer questions, and more with just a few lines of code.

**Prompt flow** is a suite of development tools designed to streamline the end-to-end development cycle of LLM-based AI applications, from ideation, prototyping, testing, evaluation to production deployment and monitoring. It makes prompt engineering much easier and enables you to build LLM apps with production quality.

DeepEval is a simple-to-use, open-source LLM evaluation framework specialized for unit testing LLM outputs. It incorporates various metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., and runs locally on your machine for evaluation. It provides a wide range of ready-to-use evaluation metrics, allows for creating custom metrics, integrates with any CI/CD environment, and enables benchmarking LLMs on popular benchmarks. DeepEval is designed for evaluating RAG and fine-tuning applications, helping users optimize hyperparameters, prevent prompt drifting, and transition from OpenAI to hosting their own Llama2 with confidence.

MegaDetector is an AI model that identifies animals, people, and vehicles in camera trap images (which also makes it useful for eliminating blank images). This model is trained on several million images from a variety of ecosystems. MegaDetector is just one of many tools that aims to make conservation biologists more efficient with AI. If you want to learn about other ways to use AI to accelerate camera trap workflows, check out our of the field, affectionately titled "Everything I know about machine learning and camera traps".

LeapfrogAI is a self-hosted AI platform designed to be deployed in air-gapped resource-constrained environments. It brings sophisticated AI solutions to these environments by hosting all the necessary components of an AI stack, including vector databases, model backends, API, and UI. LeapfrogAI's API closely matches that of OpenAI, allowing tools built for OpenAI/ChatGPT to function seamlessly with a LeapfrogAI backend. It provides several backends for various use cases, including llama-cpp-python, whisper, text-embeddings, and vllm. LeapfrogAI leverages Chainguard's apko to harden base python images, ensuring the latest supported Python versions are used by the other components of the stack. The LeapfrogAI SDK provides a standard set of protobuffs and python utilities for implementing backends and gRPC. LeapfrogAI offers UI options for common use-cases like chat, summarization, and transcription. It can be deployed and run locally via UDS and Kubernetes, built out using Zarf packages. LeapfrogAI is supported by a community of users and contributors, including Defense Unicorns, Beast Code, Chainguard, Exovera, Hypergiant, Pulze, SOSi, United States Navy, United States Air Force, and United States Space Force.

This Docker image for LLaVA (Large Language and Vision Assistant) provides a convenient way to run LLaVA locally or on RunPod. LLaVA is a powerful AI tool that combines natural language processing and computer vision capabilities. With this Docker image, you can easily access LLaVA's functionalities for various tasks, including image captioning, visual question answering, text summarization, and more. The image comes pre-installed with LLaVA v1.2.0, Torch 2.1.2, xformers 0.0.23.post1, and other necessary dependencies. You can customize the model used by setting the MODEL environment variable. The image also includes a Jupyter Lab environment for interactive development and exploration. Overall, this Docker image offers a comprehensive and user-friendly platform for leveraging LLaVA's capabilities.

The 'carrot' repository on GitHub provides a list of free and user-friendly ChatGPT mirror sites for easy access. The repository includes sponsored sites offering various GPT models and services. Users can find and share sites, report errors, and access stable and recommended sites for ChatGPT usage. The repository also includes a detailed list of ChatGPT sites, their features, and accessibility options, making it a valuable resource for ChatGPT users seeking free and unlimited GPT services.

TrustLLM is a comprehensive study of trustworthiness in LLMs, including principles for different dimensions of trustworthiness, established benchmark, evaluation, and analysis of trustworthiness for mainstream LLMs, and discussion of open challenges and future directions. Specifically, we first propose a set of principles for trustworthy LLMs that span eight different dimensions. Based on these principles, we further establish a benchmark across six dimensions including truthfulness, safety, fairness, robustness, privacy, and machine ethics. We then present a study evaluating 16 mainstream LLMs in TrustLLM, consisting of over 30 datasets. The document explains how to use the trustllm python package to help you assess the performance of your LLM in trustworthiness more quickly. For more details about TrustLLM, please refer to project website.

AI-YinMei is an AI virtual anchor Vtuber development tool (N card version). It supports fastgpt knowledge base chat dialogue, a complete set of solutions for LLM large language models: [fastgpt] + [one-api] + [Xinference], supports docking bilibili live broadcast barrage reply and entering live broadcast welcome speech, supports Microsoft edge-tts speech synthesis, supports Bert-VITS2 speech synthesis, supports GPT-SoVITS speech synthesis, supports expression control Vtuber Studio, supports painting stable-diffusion-webui output OBS live broadcast room, supports painting picture pornography public-NSFW-y-distinguish, supports search and image search service duckduckgo (requires magic Internet access), supports image search service Baidu image search (no magic Internet access), supports AI reply chat box [html plug-in], supports AI singing Auto-Convert-Music, supports playlist [html plug-in], supports dancing function, supports expression video playback, supports head touching action, supports gift smashing action, supports singing automatic start dancing function, chat and singing automatic cycle swing action, supports multi scene switching, background music switching, day and night automatic switching scene, supports open singing and painting, let AI automatically judge the content.