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.

The verl-tool is a versatile command-line utility designed to streamline various tasks related to version control and code management. It provides a simple yet powerful interface for managing branches, merging changes, resolving conflicts, and more. With verl-tool, users can easily track changes, collaborate with team members, and ensure code quality throughout the development process. Whether you are a beginner or an experienced developer, verl-tool offers a seamless experience for version control operations.

Inngest is a platform that offers durable functions to replace queues, state management, and scheduling for developers. It allows writing reliable step functions faster without dealing with infrastructure. Developers can create durable functions using various language SDKs, run a local development server, deploy functions to their infrastructure, sync functions with the Inngest Platform, and securely trigger functions via HTTPS. Inngest Functions support retrying, scheduling, and coordinating operations through triggers, flow control, and steps, enabling developers to build reliable workflows with robust support for various operations.

Contextgem is a Ruby gem that provides a simple way to manage context-specific configurations in your Ruby applications. It allows you to define different configurations based on the context in which your application is running, such as development, testing, or production. This helps you keep your configuration settings organized and easily accessible, making it easier to maintain and update your application. With Contextgem, you can easily switch between different configurations without having to modify your code, making it a valuable tool for managing complex applications with multiple environments.

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.

WorkflowAI is a powerful tool designed to streamline and automate various tasks within the workflow process. It provides a user-friendly interface for creating custom workflows, automating repetitive tasks, and optimizing efficiency. With WorkflowAI, users can easily design, execute, and monitor workflows, allowing for seamless integration of different tools and systems. The tool offers advanced features such as conditional logic, task dependencies, and error handling to ensure smooth workflow execution. Whether you are managing project tasks, processing data, or coordinating team activities, WorkflowAI simplifies the workflow management process and enhances productivity.

DSPy.rb is a Ruby framework for building reliable LLM applications using composable, type-safe modules. It enables developers to define typed signatures and compose them into pipelines, offering a more structured approach compared to traditional prompting. The framework embraces Ruby conventions and adds innovations like CodeAct agents and enhanced production instrumentation, resulting in scalable LLM applications that are robust and efficient. DSPy.rb is actively developed, with a focus on stability and real-world feedback through the 0.x series before reaching a stable v1.0 API.

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.

Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed.

Aiounifi is a Python library that provides a simple interface for interacting with the Unifi Controller API. It allows users to easily manage their Unifi network devices, such as access points, switches, and gateways, through automated scripts or applications. With Aiounifi, users can retrieve device information, perform configuration changes, monitor network performance, and more, all through a convenient and efficient API wrapper. This library simplifies the process of integrating Unifi network management into custom solutions, making it ideal for network administrators, developers, and enthusiasts looking to automate and streamline their network operations.

The mcp-fundamentals repository is a collection of fundamental concepts and examples related to microservices, cloud computing, and DevOps. It covers topics such as containerization, orchestration, CI/CD pipelines, and infrastructure as code. The repository provides hands-on exercises and code samples to help users understand and apply these concepts in real-world scenarios. Whether you are a beginner looking to learn the basics or an experienced professional seeking to refresh your knowledge, mcp-fundamentals has something for everyone.

Memento is a lightweight and user-friendly version control tool designed for small to medium-sized projects. It provides a simple and intuitive interface for managing project versions and collaborating with team members. With Memento, users can easily track changes, revert to previous versions, and merge different branches. The tool is suitable for developers, designers, content creators, and other professionals who need a streamlined version control solution. Memento simplifies the process of managing project history and ensures that team members are always working on the latest version of the project.

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.

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.

Action MCP is a powerful tool for managing and automating your cloud infrastructure. It provides a user-friendly interface to easily create, update, and delete resources on popular cloud platforms. With Action MCP, you can streamline your deployment process, reduce manual errors, and improve overall efficiency. The tool supports various cloud providers and offers a wide range of features to meet your infrastructure management needs. Whether you are a developer, system administrator, or DevOps engineer, Action MCP can help you simplify and optimize your cloud operations.

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.

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.

Kaito is an operator that automates the AI/ML inference model deployment in a Kubernetes cluster. It manages large model files using container images, avoids tuning deployment parameters to fit GPU hardware by providing preset configurations, auto-provisions GPU nodes based on model requirements, and hosts large model images in the public Microsoft Container Registry (MCR) if the license allows. Using Kaito, the workflow of onboarding large AI inference models in Kubernetes is largely simplified.

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

TiDB is an open-source distributed SQL database that supports Hybrid Transactional and Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.

Nvidia GPU exporter for prometheus, using `nvidia-smi` binary to gather metrics.

Tracecat is an open-source automation platform for security teams. It's designed to be simple but powerful, with a focus on AI features and a practitioner-obsessed UI/UX. Tracecat can be used to automate a variety of tasks, including phishing email investigation, evidence collection, and remediation plan generation.

OpenInference is a set of conventions and plugins that complement OpenTelemetry to enable tracing of AI applications. It provides a way to capture and analyze the performance and behavior of AI models, including their interactions with other components of the application. OpenInference is designed to be language-agnostic and can be used with any OpenTelemetry-compatible backend. It includes a set of instrumentations for popular machine learning SDKs and frameworks, making it easy to add tracing to your AI applications.

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