Nacos is an easy-to-use platform designed for dynamic service discovery and configuration and service management. It helps build cloud native applications and microservices platform easily. Nacos provides functions like service discovery, health check, dynamic configuration management, dynamic DNS service, and service metadata management.

ASTRA is an open-source platform designed for developing applications utilizing large language models. It merges the ideas of Backend-as-a-Service and LLM operations, allowing developers to swiftly create production-ready generative AI applications. Additionally, it empowers non-technical users to engage in defining and managing data operations for AI applications. With ASTRA, you can easily create real-time, multi-modal AI applications with low latency, even without any coding knowledge.

Lemonade is a tool that helps users run local Large Language Models (LLMs) with high performance by configuring state-of-the-art inference engines for their Neural Processing Units (NPUs) and Graphics Processing Units (GPUs). It is used by startups, research teams, and large companies to run LLMs efficiently. Lemonade provides a high-level Python API for direct integration of LLMs into Python applications and a CLI for mixing and matching LLMs with various features like prompting templates, accuracy testing, performance benchmarking, and memory profiling. The tool supports both GGUF and ONNX models and allows importing custom models from Hugging Face using the Model Manager. Lemonade is designed to be easy to use and switch between different configurations at runtime, making it a versatile tool for running LLMs locally.

Folo is a content organization tool that creates a noise-free timeline for users. It allows sharing lists, exploring collections, and distraction-free browsing. Users can subscribe to feeds, curate favorites, and utilize AI-powered features like translation and summaries. Folo supports various content types such as articles, videos, images, and audio. It introduces an ownership economy with $POWER tipping for creators and fosters a community-driven experience. The tool is under active development, welcoming feedback from users and developers.

Helicone is an open-source observability platform designed for Language Learning Models (LLMs). It logs requests to OpenAI in a user-friendly UI, offers caching, rate limits, and retries, tracks costs and latencies, provides a playground for iterating on prompts and chat conversations, supports collaboration, and will soon have APIs for feedback and evaluation. The platform is deployed on Cloudflare and consists of services like Web (NextJs), Worker (Cloudflare Workers), Jawn (Express), Supabase, and ClickHouse. Users can interact with Helicone locally by setting up the required services and environment variables. The platform encourages contributions and provides resources for learning, documentation, and integrations.

TTS WebUI is a comprehensive tool for text-to-speech synthesis, audio/music generation, and audio conversion. It offers a user-friendly interface for various AI projects related to voice and audio processing. The tool provides a range of models and extensions for different tasks, along with integrations like Silly Tavern and OpenWebUI. With support for Docker setup and compatibility with Linux and Windows, TTS WebUI aims to facilitate creative and responsible use of AI technologies in a user-friendly manner.

Open-Sora-Plan is a project that aims to create a simple and scalable repo to reproduce Sora (OpenAI, but we prefer to call it "ClosedAI"). The project is still in its early stages, but the team is working hard to improve it and make it more accessible to the open-source community. The project is currently focused on training an unconditional model on a landscape dataset, but the team plans to expand the scope of the project in the future to include text2video experiments, training on video2text datasets, and controlling the model with more conditions.

Omi is an open-source AI wearable that provides automatic, high-quality transcriptions of meetings, chats, and voice memos. It revolutionizes how conversations are captured and managed by connecting to mobile devices. The tool offers features for seamless documentation and integration with third-party services.

Astra.ai is a multimodal agent powered by TEN, showcasing its capabilities in speech, vision, and reasoning through RAG from local documentation. It provides a platform for developing AI agents with features like RTC transportation, extension store, workflow builder, and local deployment. Users can build and test agents locally using Docker and Node.js, with prerequisites including Agora App ID, Azure's speech-to-text and text-to-speech API keys, and OpenAI API key. The platform offers advanced customization options through config files and API keys setup, enabling users to create and deploy their AI agents for various tasks.

EverMemOS is an AI memory system that enables AI to not only remember past events but also understand the meaning behind memories and use them to guide decisions. It achieves 93% reasoning accuracy on the LoCoMo benchmark by providing long-term memory capabilities for conversational AI agents through structured extraction, intelligent retrieval, and progressive profile building. The tool is production-ready with support for Milvus vector DB, Elasticsearch, MongoDB, and Redis, and offers easy integration via a simple REST API. Users can store and retrieve memories using Python code and benefit from features like multi-modal memory storage, smart retrieval mechanisms, and advanced techniques for memory management.

Bear Stone Smart Home Documentation is a live, personal Home Assistant configuration shared for browsing and inspiration. It provides real-world automations, scripts, and scenes for users to reverse-engineer patterns and adapt to their own setups. The repository layout includes reusable config under `config/`, with runtime artifacts hidden by `.gitignore`. The platform runs on Docker/compose, and featured examples cover various smart home scenarios like alarm monitoring, lighting control, and presence awareness. The repository also includes a network diagram and lists Docker add-ons & utilities, gear tied to real automations, and affiliate links for supported hardware.

PPTAgent is an innovative system that automatically generates presentations from documents. It employs a two-step process for quality assurance and introduces PPTEval for comprehensive evaluation. With dynamic content generation, smart reference learning, and quality assessment, PPTAgent aims to streamline presentation creation. The tool follows an analysis phase to learn from reference presentations and a generation phase to develop structured outlines and cohesive slides. PPTEval evaluates presentations based on content accuracy, visual appeal, and logical coherence.

OptScale is an open-source FinOps and MLOps platform that provides cloud cost optimization for all types of organizations and MLOps capabilities like experiment tracking, model versioning, ML leaderboards.

Brainwave is a modern animated SaaS generative AI landing page tool built using React JS, Vite JS, Javascript, and Tailwind CSS. It provides a visually appealing interface with features like AI chatbot, generative AI, modern animations, and onboarding section. Users can easily deploy the tool on Netlify and contribute to the project. The tool utilizes framer-motion, react-just-parallax, react-router-dom, scroll-lock, typewriter-effect, and other dependencies for enhanced functionality and user experience.

SuperAGI is an open-source framework designed to build, manage, and run autonomous AI agents. It enables developers to create production-ready and scalable agents, extend agent capabilities with toolkits, and interact with agents through a graphical user interface. The framework allows users to connect to multiple Vector DBs, optimize token usage, store agent memory, utilize custom fine-tuned models, and automate tasks with predefined steps. SuperAGI also provides a marketplace for toolkits that enable agents to interact with external systems and third-party plugins.

The Alchemyst Platform Cookbook is a comprehensive guide for developers and builders to bring their AI ideas to life. It provides cutting-edge AI tools and templates to empower users in creating innovative projects. The platform offers API documentation, quick start guides, official and community templates for various projects. Users can contribute to the platform by forking the repository, adding the topic 'alchemyst-awesome-saas', making their repository public, and submitting a pull request. Troubleshooting guidelines are provided for contributors. The platform is actively maintained by the Alchemyst AI Team.

Nacos is an easy-to-use platform designed for dynamic service discovery and configuration and service management. It helps build cloud native applications and microservices platform easily. Nacos provides functions like service discovery, health check, dynamic configuration management, dynamic DNS service, and service metadata management.

uni-api is a project that unifies the management of large language model APIs, allowing you to call multiple backend services through a single unified API interface, converting them all to OpenAI format, and supporting load balancing. It supports various backend services such as OpenAI, Anthropic, Gemini, Vertex, Azure, xai, Cohere, Groq, Cloudflare, OpenRouter, and more. The project offers features like no front-end, pure configuration file setup, unified management of multiple backend services, support for multiple standard OpenAI format interfaces, rate limiting, automatic retry, channel cooling, fine-grained model timeout settings, and fine-grained permission control.

Kong, or Kong API Gateway, is a cloud-native, platform-agnostic, scalable API Gateway distinguished for its high performance and extensibility via plugins. It also provides advanced AI capabilities with multi-LLM support. By providing functionality for proxying, routing, load balancing, health checking, authentication (and more), Kong serves as the central layer for orchestrating microservices or conventional API traffic with ease. Kong runs natively on Kubernetes thanks to its official Kubernetes Ingress Controller.

MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads.

This repository contains assets related to AI/ML workloads on Google Kubernetes Engine (GKE). Run optimized AI/ML workloads with Google Kubernetes Engine (GKE) platform orchestration capabilities. A robust AI/ML platform considers the following layers: Infrastructure orchestration that support GPUs and TPUs for training and serving workloads at scale Flexible integration with distributed computing and data processing frameworks Support for multiple teams on the same infrastructure to maximize utilization of resources

Kong, or Kong API Gateway, is a cloud-native, platform-agnostic, scalable API Gateway distinguished for its high performance and extensibility via plugins. It also provides advanced AI capabilities with multi-LLM support. By providing functionality for proxying, routing, load balancing, health checking, authentication (and more), Kong serves as the central layer for orchestrating microservices or conventional API traffic with ease. Kong runs natively on Kubernetes thanks to its official Kubernetes Ingress Controller.

AI-in-a-Box is a curated collection of solution accelerators that can help engineers establish their AI/ML environments and solutions rapidly and with minimal friction, while maintaining the highest standards of quality and efficiency. It provides essential guidance on the responsible use of AI and LLM technologies, specific security guidance for Generative AI (GenAI) applications, and best practices for scaling OpenAI applications within Azure. The available accelerators include: Azure ML Operationalization in-a-box, Edge AI in-a-box, Doc Intelligence in-a-box, Image and Video Analysis in-a-box, Cognitive Services Landing Zone in-a-box, Semantic Kernel Bot in-a-box, NLP to SQL in-a-box, Assistants API in-a-box, and Assistants API Bot in-a-box.

This repository contains reference architectures and test cases for distributed model training with Amazon SageMaker Hyperpod, AWS ParallelCluster, AWS Batch, and Amazon EKS. The test cases cover different types and sizes of models as well as different frameworks and parallel optimizations (Pytorch DDP/FSDP, MegatronLM, NemoMegatron...).

The AWS Generative AI Constructs Library is an open-source extension of the AWS Cloud Development Kit (AWS CDK) that provides multi-service, well-architected patterns for quickly defining solutions in code to create predictable and repeatable infrastructure, called constructs. The goal of AWS Generative AI CDK Constructs is to help developers build generative AI solutions using pattern-based definitions for their architecture. The patterns defined in AWS Generative AI CDK Constructs are high level, multi-service abstractions of AWS CDK constructs that have default configurations based on well-architected best practices. The library is organized into logical modules using object-oriented techniques to create each architectural pattern model.

OpenVINO™ Model Server (OVMS) is a high-performance system for serving models. Implemented in C++ for scalability and optimized for deployment on Intel architectures, the model server uses the same architecture and API as TensorFlow Serving and KServe while applying OpenVINO for inference execution. Inference service is provided via gRPC or REST API, making deploying new algorithms and AI experiments easy.

Deploy langgenius/dify, an LLM based chat bot app on kubernetes with helm chart.