bravegpt

BraveGPT is a userscript that brings the power of ChatGPT to Brave Search. It allows users to engage with a conversational AI assistant directly within their search results, providing instant and personalized responses to their queries. BraveGPT is powered by GPT-4, the latest and most advanced language model from OpenAI, ensuring accurate and comprehensive answers. With BraveGPT, users can ask questions, get summaries, generate creative content, and more, all without leaving the Brave Search interface. The tool is easy to install and use, making it accessible to users of all levels. BraveGPT is a valuable addition to the Brave Search experience, enhancing its capabilities and providing users with a more efficient and informative search experience.

This repository contains a chatbot tool powered by AI technology. The chatbot is designed to interact with users in a conversational manner, providing information and assistance on various topics. Users can engage with the chatbot to ask questions, seek recommendations, or simply have a casual conversation. The AI technology behind the chatbot enables it to understand natural language inputs and provide relevant responses, making the interaction more intuitive and engaging. The tool is versatile and can be customized for different use cases, such as customer support, information retrieval, or entertainment purposes. Overall, the chatbot offers a user-friendly and interactive experience, leveraging AI to enhance communication and engagement.

Chatmcp is a chatbot framework for building conversational AI applications. It provides a flexible and extensible platform for creating chatbots that can interact with users in a natural language. With Chatmcp, developers can easily integrate chatbot functionality into their applications, enabling users to communicate with the system through text-based conversations. The framework supports various natural language processing techniques and allows for the customization of chatbot behavior and responses. Chatmcp simplifies the development of chatbots by providing a set of pre-built components and tools that streamline the creation process. Whether you are building a customer support chatbot, a virtual assistant, or a chat-based game, Chatmcp offers the necessary features and capabilities to bring your conversational AI ideas to life.

Opencode.nvim is a Neovim plugin that provides a simple and efficient way to browse, search, and open files in a project. It enhances the file navigation experience by offering features like fuzzy finding, file preview, and quick access to frequently used files. With Opencode.nvim, users can easily navigate through their project files, jump to specific locations, and manage their workflow more effectively. The plugin is designed to improve productivity and streamline the development process by simplifying file handling tasks within Neovim.

This repository contains a chatbot tool that utilizes natural language processing to interact with users. The tool is designed to understand and respond to user input in a conversational manner, providing information and assistance. It can be integrated into various applications to enhance user experience and automate customer support. The chatbot tool is user-friendly and customizable, making it suitable for businesses looking to improve customer engagement and streamline communication.

Lightfriend is a lightweight and user-friendly tool designed to assist developers in managing their GitHub repositories efficiently. It provides a simple and intuitive interface for users to perform various repository-related tasks, such as creating new repositories, managing branches, and reviewing pull requests. With Lightfriend, developers can streamline their workflow and collaborate more effectively with team members. The tool is designed to be easy to use and requires minimal setup, making it ideal for developers of all skill levels. Whether you are a beginner looking to get started with GitHub or an experienced developer seeking a more efficient way to manage your repositories, Lightfriend is the perfect companion for your GitHub workflow.

udm14 is a basic website designed to facilitate easy searches on Google with the &udm=14 parameter, ensuring AI-free results without knowledge panels. The tool simplifies access to these specific search results buried within Google's interface, providing a straightforward solution for users seeking this functionality.

Airbrussh is a Capistrano plugin that enhances the output of Capistrano's deploy command. It provides a more detailed and structured view of the deployment process, including color-coded output, timestamps, and improved formatting. Airbrussh aims to make the deployment logs easier to read and understand, helping developers troubleshoot issues and monitor deployments more effectively. It is a useful tool for teams working with Capistrano to streamline their deployment workflows and improve visibility into the deployment process.

AIOStreams is a versatile tool that combines streams from various addons into one platform, offering extensive customization options. Users can change result formats, filter results by various criteria, remove duplicates, prioritize services, sort results, specify size limits, and more. The tool scrapes results from selected addons, applies user configurations, and presents the results in a unified manner. It simplifies the process of finding and accessing desired content from multiple sources, enhancing user experience and efficiency.

Companion is a software tool designed to provide support and enhance development. It offers various features and functionalities to assist users in their projects and tasks. The tool aims to be user-friendly and efficient, helping individuals and teams to streamline their workflow and improve productivity.

OpenCopilot is a tool that allows users to create their own AI copilot for their products. It integrates with APIs to execute calls as needed, using LLMs to determine the appropriate endpoint and payload. Users can define API actions, validate schemas, and integrate a user-friendly chat bubble into their SaaS app. The tool is capable of calling APIs, transforming responses, and populating request fields based on context. It is not suitable for handling large APIs without JSON transformers. Users can teach the copilot via flows and embed it in their app with minimal code.

LightLLM is a lightweight library for linear and logistic regression models. It provides a simple and efficient way to train and deploy machine learning models for regression tasks. The library is designed to be easy to use and integrate into existing projects, making it suitable for both beginners and experienced data scientists. With LightLLM, users can quickly build and evaluate regression models using a variety of algorithms and hyperparameters. The library also supports feature engineering and model interpretation, allowing users to gain insights from their data and make informed decisions based on the model predictions.

Spring AI Tutorial is a comprehensive guide for beginners to learn about integrating artificial intelligence capabilities into Spring Boot applications. The tutorial covers various AI concepts such as machine learning, natural language processing, and computer vision, and demonstrates how to implement them using popular AI libraries and tools within the Spring framework. By following this tutorial, users will gain a solid understanding of how to leverage AI technologies to enhance the functionality and intelligence of their Spring applications.

OpenLLMetry is a set of extensions built on top of OpenTelemetry that gives you complete observability over your LLM application. Because it uses OpenTelemetry under the hood, it can be connected to your existing observability solutions - Datadog, Honeycomb, and others. It's built and maintained by Traceloop under the Apache 2.0 license. The repo contains standard OpenTelemetry instrumentations for LLM providers and Vector DBs, as well as a Traceloop SDK that makes it easy to get started with OpenLLMetry, while still outputting standard OpenTelemetry data that can be connected to your observability stack. If you already have OpenTelemetry instrumented, you can just add any of our instrumentations directly.

Eververse is an open source product management platform that provides a simple alternative to tools like Productboard and Cycle. It allows product teams to collaborate on exploring problems, ideating solutions, prioritizing features, and planning roadmaps with the assistance of AI.

Obsidian-NotEMD is a plugin for the Obsidian note-taking app that allows users to export notes in various formats without converting them to EMD. It simplifies the process of sharing and collaborating on notes by providing seamless export options. With Obsidian-NotEMD, users can easily export their notes to PDF, HTML, Markdown, and other formats directly from Obsidian, saving time and effort. This plugin enhances the functionality of Obsidian by streamlining the export process and making it more convenient for users to work with their notes across different platforms and applications.

LLMStack is a no-code platform for building generative AI agents, workflows, and chatbots. It allows users to connect their own data, internal tools, and GPT-powered models without any coding experience. LLMStack can be deployed to the cloud or on-premise and can be accessed via HTTP API or triggered from Slack or Discord.

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.

ONNX Runtime Generative AI is a library that provides the generative AI loop for ONNX models, including inference with ONNX Runtime, logits processing, search and sampling, and KV cache management. Users can call a high level `generate()` method, or run each iteration of the model in a loop. It supports greedy/beam search and TopP, TopK sampling to generate token sequences, has built in logits processing like repetition penalties, and allows for easy custom scoring.

Jupyter AI connects generative AI with Jupyter notebooks. It provides a user-friendly and powerful way to explore generative AI models in notebooks and improve your productivity in JupyterLab and the Jupyter Notebook. Specifically, Jupyter AI offers: * An `%%ai` magic that turns the Jupyter notebook into a reproducible generative AI playground. This works anywhere the IPython kernel runs (JupyterLab, Jupyter Notebook, Google Colab, Kaggle, VSCode, etc.). * A native chat UI in JupyterLab that enables you to work with generative AI as a conversational assistant. * Support for a wide range of generative model providers, including AI21, Anthropic, AWS, Cohere, Gemini, Hugging Face, NVIDIA, and OpenAI. * Local model support through GPT4All, enabling use of generative AI models on consumer grade machines with ease and privacy.

Khoj is an open-source, personal AI assistant that extends your capabilities by creating always-available AI agents. You can share your notes and documents to extend your digital brain, and your AI agents have access to the internet, allowing you to incorporate real-time information. Khoj is accessible on Desktop, Emacs, Obsidian, Web, and Whatsapp, and you can share PDF, markdown, org-mode, notion files, and GitHub repositories. You'll get fast, accurate semantic search on top of your docs, and your agents can create deeply personal images and understand your speech. Khoj is self-hostable and always will be.

LangChain.dart is a Dart port of the popular LangChain Python framework created by Harrison Chase. LangChain provides a set of ready-to-use components for working with language models and a standard interface for chaining them together to formulate more advanced use cases (e.g. chatbots, Q&A with RAG, agents, summarization, extraction, etc.). The components can be grouped into a few core modules: * **Model I/O:** LangChain offers a unified API for interacting with various LLM providers (e.g. OpenAI, Google, Mistral, Ollama, etc.), allowing developers to switch between them with ease. Additionally, it provides tools for managing model inputs (prompt templates and example selectors) and parsing the resulting model outputs (output parsers). * **Retrieval:** assists in loading user data (via document loaders), transforming it (with text splitters), extracting its meaning (using embedding models), storing (in vector stores) and retrieving it (through retrievers) so that it can be used to ground the model's responses (i.e. Retrieval-Augmented Generation or RAG). * **Agents:** "bots" that leverage LLMs to make informed decisions about which available tools (such as web search, calculators, database lookup, etc.) to use to accomplish the designated task. The different components can be composed together using the LangChain Expression Language (LCEL).

Danswer is an open-source Gen-AI Chat and Unified Search tool that connects to your company's docs, apps, and people. It provides a Chat interface and plugs into any LLM of your choice. Danswer can be deployed anywhere and for any scale - on a laptop, on-premise, or to cloud. Since you own the deployment, your user data and chats are fully in your own control. Danswer is MIT licensed and designed to be modular and easily extensible. The system also comes fully ready for production usage with user authentication, role management (admin/basic users), chat persistence, and a UI for configuring Personas (AI Assistants) and their Prompts. Danswer also serves as a Unified Search across all common workplace tools such as Slack, Google Drive, Confluence, etc. By combining LLMs and team specific knowledge, Danswer becomes a subject matter expert for the team. Imagine ChatGPT if it had access to your team's unique knowledge! It enables questions such as "A customer wants feature X, is this already supported?" or "Where's the pull request for feature Y?"

Infinity is an AI-native database designed for LLM applications, providing incredibly fast full-text and vector search capabilities. It supports a wide range of data types, including vectors, full-text, and structured data, and offers a fused search feature that combines multiple embeddings and full text. Infinity is easy to use, with an intuitive Python API and a single-binary architecture that simplifies deployment. It achieves high performance, with 0.1 milliseconds query latency on million-scale vector datasets and up to 15K QPS.

BraveGPT is a userscript that brings the power of ChatGPT to Brave Search. It allows users to engage with a conversational AI assistant directly within their search results, providing instant and personalized responses to their queries. BraveGPT is powered by GPT-4, the latest and most advanced language model from OpenAI, ensuring accurate and comprehensive answers. With BraveGPT, users can ask questions, get summaries, generate creative content, and more, all without leaving the Brave Search interface. The tool is easy to install and use, making it accessible to users of all levels. BraveGPT is a valuable addition to the Brave Search experience, enhancing its capabilities and providing users with a more efficient and informative search experience.

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.

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.

AgentCloud is an open-source platform that enables companies to build and deploy private LLM chat apps, empowering teams to securely interact with their data. It comprises three main components: Agent Backend, Webapp, and Vector Proxy. To run this project locally, clone the repository, install Docker, and start the services. The project is licensed under the GNU Affero General Public License, version 3 only. Contributions and feedback are welcome from the community.

AnythingLLM is a full-stack application that enables you to turn any document, resource, or piece of content into context that any LLM can use as references during chatting. This application allows you to pick and choose which LLM or Vector Database you want to use as well as supporting multi-user management and permissions.

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.

Magick is a groundbreaking visual AIDE (Artificial Intelligence Development Environment) for no-code data pipelines and multimodal agents. Magick can connect to other services and comes with nodes and templates well-suited for intelligent agents, chatbots, complex reasoning systems and realistic characters.

Glide is a cloud-native LLM gateway that provides a unified REST API for accessing various large language models (LLMs) from different providers. It handles LLMOps tasks such as model failover, caching, key management, and more, making it easy to integrate LLMs into applications. Glide supports popular LLM providers like OpenAI, Anthropic, Azure OpenAI, AWS Bedrock (Titan), Cohere, Google Gemini, OctoML, and Ollama. It offers high availability, performance, and observability, and provides SDKs for Python and NodeJS to simplify integration.