ToolHive is a tool designed to simplify and secure Model Context Protocol (MCP) servers. It allows users to easily discover, deploy, and manage MCP servers by launching them in isolated containers with minimal setup and security concerns. The tool offers instant deployment, secure default settings, compatibility with Docker and Kubernetes, seamless integration with popular clients, and availability as a GUI desktop app, CLI, and Kubernetes Operator.

ClearML is an auto-magical suite of tools designed to streamline AI workflows. It includes modules for experiment management, MLOps/LLMOps, data management, model serving, and more. ClearML offers features like experiment tracking, model serving, orchestration, and automation. It supports various ML/DL frameworks and integrates with Jupyter Notebook and PyCharm for remote debugging. ClearML aims to simplify collaboration, automate processes, and enhance visibility in AI projects.

ClearML is a suite of tools designed to streamline the machine learning workflow. It includes an experiment manager, MLOps/LLMOps, data management, and model serving capabilities. ClearML is open-source and offers a free tier hosting option. It supports various ML/DL frameworks and integrates with Jupyter Notebook and PyCharm. ClearML provides extensive logging capabilities, including source control info, execution environment, hyper-parameters, and experiment outputs. It also offers automation features, such as remote job execution and pipeline creation. ClearML is designed to be easy to integrate, requiring only two lines of code to add to existing scripts. It aims to improve collaboration, visibility, and data transparency within ML teams.

Lanarky is a Python web framework designed for building microservices using Large Language Models (LLMs). It is LLM-first, fast, modern, supports streaming over HTTP and WebSockets, and is open-source. The framework provides an abstraction layer for developers to easily create LLM microservices. Lanarky guarantees zero vendor lock-in and is free to use. It is built on top of FastAPI and offers features familiar to FastAPI users. The project is now in maintenance mode, with no active development planned, but community contributions are encouraged.

SillyTavern is a user interface you can install on your computer (and Android phones) that allows you to interact with text generation AIs and chat/roleplay with characters you or the community create. SillyTavern is a fork of TavernAI 1.2.8 which is under more active development and has added many major features. At this point, they can be thought of as completely independent programs.

assistant-ui is a set of React components for AI chat, providing wide model provider support out of the box and the ability to integrate custom APIs. It includes integrations with Langchain, Vercel AI SDK, TailwindCSS, shadcn-ui, react-markdown, react-syntax-highlighter, React Hook Form, and more. The tool allows users to quickly create AI chat applications with pre-configured templates and easy setup steps.

Kiln is an intuitive tool for fine-tuning LLM models, generating synthetic data, and collaborating on datasets. It offers desktop apps for Windows, MacOS, and Linux, zero-code fine-tuning for various models, interactive data generation, and Git-based version control. Users can easily collaborate with QA, PM, and subject matter experts, generate auto-prompts, and work with a wide range of models and providers. The tool is open-source, privacy-first, and supports structured data tasks in JSON format. Kiln is free to use and helps build high-quality AI products with datasets, facilitates collaboration between technical and non-technical teams, allows comparison of models and techniques without code, ensures structured data integrity, and prioritizes user privacy.

MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud). MLflow's current components are: * `MLflow Tracking `_: An API to log parameters, code, and results in machine learning experiments and compare them using an interactive UI. * `MLflow Projects `_: A code packaging format for reproducible runs using Conda and Docker, so you can share your ML code with others. * `MLflow Models `_: A model packaging format and tools that let you easily deploy the same model (from any ML library) to batch and real-time scoring on platforms such as Docker, Apache Spark, Azure ML and AWS SageMaker. * `MLflow Model Registry `_: A centralized model store, set of APIs, and UI, to collaboratively manage the full lifecycle of MLflow Models.

Agentgateway is an open source data plane optimized for agentic AI connectivity within or across any agent framework or environment. It provides drop-in security, observability, and governance for agent-to-agent and agent-to-tool communication, supporting leading interoperable protocols like Agent2Agent (A2A) and Model Context Protocol (MCP). Highly performant, security-first, multi-tenant, dynamic, and supporting legacy API transformation, agentgateway is designed to handle any scale and run anywhere with any agent framework.

The ros-mcp-server repository contains a ROS (Robot Operating System) package that provides a server for Multi-Contact Planning (MCP) in robotics. The server facilitates the planning of multiple contacts between a robot and its environment, enabling complex manipulation tasks. It includes functionalities for collision checking, motion planning, and contact stability analysis. This tool is designed to enhance the capabilities of robotic systems by enabling them to perform tasks that involve multiple points of contact with the environment. The repository includes documentation and examples to help users integrate the MCP server into their robotic applications.

Langflow is an open-source Python-powered visual framework designed for building multi-agent and RAG applications. It is fully customizable, language model agnostic, and vector store agnostic. Users can easily create flows by dragging components onto the canvas, connect them, and export the flow as a JSON file. Langflow also provides a command-line interface (CLI) for easy management and configuration, allowing users to customize the behavior of Langflow for development or specialized deployment scenarios. The tool can be deployed on various platforms such as Google Cloud Platform, Railway, and Render. Contributors are welcome to enhance the project on GitHub by following the contributing guidelines.

Neptune is a scalable experiment tracker for teams training foundation models. Log millions of runs, effortlessly monitor and visualize model training, and deploy on your infrastructure. Track 100% of metadata to accelerate AI breakthroughs. Log and display any framework and metadata type from any ML pipeline. Organize experiments with nested structures and custom dashboards. Compare results, visualize training, and optimize models quicker. Version models, review stages, and access production-ready models. Share results, manage users, and projects. Integrate with 25+ frameworks. Trusted by great companies to improve workflow.

Commandkit is a discord.js meta-framework designed for building powerful, modular, and extensible Discord bots with ease. It provides a range of packages for various functionalities such as AI, caching, devtools, i18n, legacy support, queuing, Redis integration, and task management. The framework aims to simplify the process of creating and managing Discord bots by offering a structured and versatile solution.

Kilo Code is an open-source VS Code AI agent that allows users to generate code from natural language, check its own work, run terminal commands, automate the browser, and utilize the latest AI models. It offers features like task automation, automated refactoring, and integration with MCP servers. Users can access 400+ AI models and benefit from transparent pricing. Kilo Code is a fork of Roo Code and Cline, with improvements and unique features developed independently.

Google Shortcuts Launcher provides a seamless way to integrate powerful Google services into your daily workflow. With just a tap, you can quickly access a variety of shortcuts designed to enhance your daily device use and simplify your interactions with Google features. It offers shortcuts for games launcher, Google Lens, Google Music Search, Google Password Manager, Google Weather, and Voice Assistant. The tool requires Google, Google Play Services, and Google Play Games to be installed on the device for proper functionality, and some features may require root access.

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.

AppFlowy Cloud is a secure user authentication, file storage, and real-time WebSocket communication tool written in Rust. It is part of the AppFlowy ecosystem, providing an efficient and collaborative user experience. The tool offers deployment guides, development setup with Rust and Docker, debugging tips for components like PostgreSQL, Redis, Minio, and Portainer, and guidelines for contributing to the project.

ToolHive is a tool designed to simplify and secure Model Context Protocol (MCP) servers. It allows users to easily discover, deploy, and manage MCP servers by launching them in isolated containers with minimal setup and security concerns. The tool offers instant deployment, secure default settings, compatibility with Docker and Kubernetes, seamless integration with popular clients, and availability as a GUI desktop app, CLI, and Kubernetes Operator.

mcp-server-chart is a Helm chart for deploying a Minecraft server on Kubernetes. It simplifies the process of setting up and managing a Minecraft server in a Kubernetes environment. The chart includes configurations for specifying server settings, resource limits, and persistent storage options. With mcp-server-chart, users can easily deploy and scale Minecraft servers on Kubernetes clusters, ensuring high availability and performance for multiplayer gaming experiences.

Sealos is a cloud operating system distribution based on the Kubernetes kernel, designed for a seamless development lifecycle. It allows users to spin up full-stack environments in seconds, effortlessly push releases, and scale production seamlessly. With core features like easy application management, quick database creation, and cloud universality, Sealos offers efficient and economical cloud management with high universality and ease of use. The platform also emphasizes agility and security through its multi-tenancy sharing model. Sealos is supported by a community offering full documentation, Discord support, and active development roadmap.

AirGo is a front and rear end separation, multi user, multi protocol proxy service management system, simple and easy to use. It supports vless, vmess, shadowsocks, and hysteria2.

Mosec is a high-performance and flexible model serving framework for building ML model-enabled backend and microservices. It bridges the gap between any machine learning models you just trained and the efficient online service API. * **Highly performant** : web layer and task coordination built with Rust 🦀, which offers blazing speed in addition to efficient CPU utilization powered by async I/O * **Ease of use** : user interface purely in Python 🐍, by which users can serve their models in an ML framework-agnostic manner using the same code as they do for offline testing * **Dynamic batching** : aggregate requests from different users for batched inference and distribute results back * **Pipelined stages** : spawn multiple processes for pipelined stages to handle CPU/GPU/IO mixed workloads * **Cloud friendly** : designed to run in the cloud, with the model warmup, graceful shutdown, and Prometheus monitoring metrics, easily managed by Kubernetes or any container orchestration systems * **Do one thing well** : focus on the online serving part, users can pay attention to the model optimization and business logic

The 'llm-code-interpreter' repository is a deprecated plugin that provides a code interpreter on steroids for ChatGPT by E2B. It gives ChatGPT access to a sandboxed cloud environment with capabilities like running any code, accessing Linux OS, installing programs, using filesystem, running processes, and accessing the internet. The plugin exposes commands to run shell commands, read files, and write files, enabling various possibilities such as running different languages, installing programs, starting servers, deploying websites, and more. It is powered by the E2B API and is designed for agents to freely experiment within a sandboxed environment.

Pezzo is a fully cloud-native and open-source LLMOps platform that allows users to observe and monitor AI operations, troubleshoot issues, save costs and latency, collaborate, manage prompts, and deliver AI changes instantly. It supports various clients for prompt management, observability, and caching. Users can run the full Pezzo stack locally using Docker Compose, with prerequisites including Node.js 18+, Docker, and a GraphQL Language Feature Support VSCode Extension. Contributions are welcome, and the source code is available under the Apache 2.0 License.

Learn Cloud Applied Generative AI Engineering (GenEng) is a course focusing on the application of generative AI technologies in various industries. The course covers topics such as the economic impact of generative AI, the role of developers in adopting and integrating generative AI technologies, and the future trends in generative AI. Students will learn about tools like OpenAI API, LangChain, and Pinecone, and how to build and deploy Large Language Models (LLMs) for different applications. The course also explores the convergence of generative AI with Web 3.0 and its potential implications for decentralized intelligence.

This repository contains shared codebase for two projects: gcloud-aio and gcloud-rest. gcloud-aio is built for Python 3's asyncio, while gcloud-rest is a threadsafe requests-based implementation. It provides clients for Google Cloud services like Auth, BigQuery, Datastore, KMS, PubSub, Storage, and Task Queue. Users can install the library using pip and refer to the documentation for usage details. Developers can contribute to the project by following the contribution guide.

Fluid is an open source Kubernetes-native Distributed Dataset Orchestrator and Accelerator for data-intensive applications, such as big data and AI applications. It implements dataset abstraction, scalable cache runtime, automated data operations, elasticity and scheduling, and is runtime platform agnostic. Key concepts include Dataset and Runtime. Prerequisites include Kubernetes version > 1.16, Golang 1.18+, and Helm 3. The tool offers features like accelerating remote file accessing, machine learning, accelerating PVC, preloading dataset, and on-the-fly dataset cache scaling. Contributions are welcomed, and the project is under the Apache 2.0 license with a vendor-neutral approach.

AIGES is a core component of the Athena Serving Framework, designed as a universal encapsulation tool for AI developers to deploy AI algorithm models and engines quickly. By integrating AIGES, you can deploy AI algorithm models and engines rapidly and host them on the Athena Serving Framework, utilizing supporting auxiliary systems for networking, distribution strategies, data processing, etc. The Athena Serving Framework aims to accelerate the cloud service of AI algorithm models and engines, providing multiple guarantees for cloud service stability through cloud-native architecture. You can efficiently and securely deploy, upgrade, scale, operate, and monitor models and engines without focusing on underlying infrastructure and service-related development, governance, and operations.