Robusta is a tool designed to enhance Prometheus notifications for Kubernetes environments. It offers features such as smart grouping to reduce notification spam, AI investigation for alert analysis, alert enrichment with additional data like pod logs, self-healing capabilities for defining auto-remediation rules, advanced routing options, problem detection without PromQL, change-tracking for Kubernetes resources, auto-resolve functionality, and integration with various external systems like Slack, Teams, and Jira. Users can utilize Robusta with or without Prometheus, and it can be installed alongside existing Prometheus setups or as part of an all-in-one Kubernetes observability stack.

AI-on-the-edge-device is a project that enables users to digitize analog water, gas, power, and other meters using an ESP32 board with a supported camera. It integrates Tensorflow Lite for AI processing, offers a small and affordable device with integrated camera and illumination, provides a web interface for administration and control, supports Homeassistant, Influx DB, MQTT, and REST API. The device captures meter images, extracts Regions of Interest (ROIs), runs them through AI for digitization, and allows users to send data to MQTT, InfluxDb, or access it via REST API. The project also includes 3D-printable housing options and tools for logfile management.

Smriti AI is an intelligent learning assistant that helps users organize, understand, and retain study materials. It transforms passive content into active learning tools by capturing resources, converting them into summaries and quizzes, providing spaced revision with reminders, tracking progress, and offering a multimodal interface. Suitable for students, self-learners, professionals, educators, and coaching institutes.

Agenta is an open-source LLM developer platform for prompt engineering, evaluation, human feedback, and deployment of complex LLM applications. It provides tools for prompt engineering and management, evaluation, human annotation, and deployment, all without imposing any restrictions on your choice of framework, library, or model. Agenta allows developers and product teams to collaborate in building production-grade LLM-powered applications in less time.

Bitcart is a platform designed for merchants, users, and developers, providing easy setup and usage. It includes various linked repositories for core daemons, admin panel, ready store, Docker packaging, Python library for coins connection, BitCCL scripting language, documentation, and official site. The platform aims to simplify the process for merchants and developers to interact and transact with cryptocurrencies, offering a comprehensive ecosystem for managing transactions and payments.

Wegent is an open-source AI-native operating system designed to define, organize, and run intelligent agent teams. It offers various core features such as a chat agent with multi-model support, conversation history, group chat, attachment parsing, follow-up mode, error correction mode, long-term memory, sandbox execution, and extensions. Additionally, Wegent includes a code agent for cloud-based code execution, AI feed for task triggers, AI knowledge for document management, and AI device for running tasks locally. The platform is highly extensible, allowing for custom agents, agent creation wizard, organization management, collaboration modes, skill support, MCP tools, execution engines, YAML config, and an API for easy integration with other systems.

Tabby is a self-hosted AI coding assistant, offering an open-source and on-premises alternative to GitHub Copilot. It boasts several key features: * Self-contained, with no need for a DBMS or cloud service. * OpenAPI interface, easy to integrate with existing infrastructure (e.g Cloud IDE). * Supports consumer-grade GPUs.

Clash Royale Build-A-Bot is a project that allows users to build their own bot to play Clash Royale. It provides an advanced state generator that accurately returns detailed information using cutting-edge technologies. The project includes tutorials for setting up the environment, building a basic bot, and understanding state generation. It also offers updates such as replacing YOLOv5 with YOLOv8 unit model and enhancing performance features like placement and elixir management. The future roadmap includes plans to label more images of diverse cards, add a tracking layer for unit predictions, publish tutorials on Q-learning and imitation learning, release the YOLOv5 training notebook, implement chest opening and card upgrading features, and create a leaderboard for the best bots developed with this repository.

Poco Agent is a cloud-based tool that provides a secure sandbox environment for running tasks without affecting the host machine. It offers a modern UI with mobile adaptability, easy configuration through Docker, and extensive capabilities with support for MCP protocol and custom skills. Users can run tasks asynchronously and schedule them, even when the web interface is closed. Additional features include a built-in browser for internet research and GitHub repository integration. Poco Agent aims to be a more secure, visually appealing, and user-friendly alternative to OpenClaw.

Gemini Voyager is a browser extension designed to enhance the user experience of Google Gemini by providing features such as folder organization, prompt vault, cloud sync, timeline navigation, chat export, Mermaid rendering, markdown fixing, and various power tools. It aims to help users keep their AI conversations organized, accessible, and productive. The extension is available on multiple browsers and supports manual installation and development builds. Users can also support the project by buying the developer a coffee or sponsoring via different platforms.

Timeline Studio is a next-generation professional video editor with AI integration that automates content creation for social media. It combines the power of desktop applications with the convenience of web interfaces. With 257 AI tools, GPU acceleration, plugin system, multi-language interface, and local processing, Timeline Studio offers complete video production automation. Users can create videos for various social media platforms like TikTok, YouTube, Vimeo, Telegram, and Instagram with optimized versions. The tool saves time, understands trends, provides professional quality, and allows for easy feature extension through plugins. Timeline Studio is open source, transparent, and offers significant time savings and quality improvements for video editing tasks.

Codemod platform is a tool that helps developers create, distribute, and run codemods in codebases of any size. The AI-powered, community-led codemods enable automation of framework upgrades, large refactoring, and boilerplate programming with speed and developer experience. It aims to make dream migrations a reality for developers by providing a platform for seamless codemod operations.

AnyLabeling is a tool for effortless data labeling with AI support from YOLO and Segment Anything. It combines features from LabelImg and Labelme with an improved UI and auto-labeling capabilities. Users can annotate images with polygons, rectangles, circles, lines, and points, as well as perform auto-labeling using YOLOv5 and Segment Anything. The tool also supports text detection, recognition, and Key Information Extraction (KIE) labeling, with multiple language options available such as English, Vietnamese, and Chinese.

Rivet is a desktop application for creating complex AI agents and prompt chaining, and embedding it in your application. Rivet currently has LLM support for OpenAI GPT-3.5 and GPT-4, Anthropic Claude Instant and Claude 2, [Anthropic Claude 3 Haiku, Sonnet, and Opus](https://www.anthropic.com/news/claude-3-family), and AssemblyAI LeMUR framework for voice data. Rivet has embedding/vector database support for OpenAI Embeddings and Pinecone. Rivet also supports these additional integrations: Audio Transcription from AssemblyAI. Rivet core is a TypeScript library for running graphs created in Rivet. It is used by the Rivet application, but can also be used in your own applications, so that Rivet can call into your own application's code, and your application can call into Rivet graphs.

MatrixOne is the industry's first database to bring Git-style version control to data, combined with MySQL compatibility, AI-native capabilities, and cloud-native architecture. It is a HTAP (Hybrid Transactional/Analytical Processing) database with a hyper-converged HSTAP engine that seamlessly handles transactional, analytical, full-text search, and vector search workloads in a single unified system—no data movement, no ETL, no compromises. Manage your database like code with features like instant snapshots, time travel, branch & merge, instant rollback, and complete audit trail. Built for the AI era, MatrixOne is MySQL-compatible, AI-native, and cloud-native, offering storage-compute separation, elastic scaling, and Kubernetes-native deployment. It serves as one database for everything, replacing multiple databases and ETL jobs with native OLTP, OLAP, full-text search, and vector search capabilities.

ClaraVerse is a privacy-first AI assistant and agent builder that allows users to chat with AI, create intelligent agents, and turn them into fully functional apps. It operates entirely on open-source models running on the user's device, ensuring data privacy and security. With features like AI assistant, image generation, intelligent agent builder, and image gallery, ClaraVerse offers a versatile platform for AI interaction and app development. Users can install ClaraVerse through Docker, native desktop apps, or the web version, with detailed instructions provided for each option. The tool is designed to empower users with control over their AI stack and leverage community-driven innovations for AI development.

awesome-AIOps is a curated list of academic researches and industrial materials related to Artificial Intelligence for IT Operations (AIOps). It includes resources such as competitions, white papers, blogs, tutorials, benchmarks, tools, companies, academic materials, talks, workshops, papers, and courses covering various aspects of AIOps like anomaly detection, root cause analysis, incident management, microservices, dependency tracing, and more.

The 'awesome-LLM-AIOps' repository is a curated list of academic research and industrial materials related to Large Language Models (LLM) and Artificial Intelligence for IT Operations (AIOps). It covers various topics such as incident management, log analysis, root cause analysis, incident mitigation, and incident postmortem analysis. The repository provides a comprehensive collection of papers, projects, and tools related to the application of LLM and AI in IT operations, offering valuable insights and resources for researchers and practitioners in the field.

Robusta is a tool designed to enhance Prometheus notifications for Kubernetes environments. It offers features such as smart grouping to reduce notification spam, AI investigation for alert analysis, alert enrichment with additional data like pod logs, self-healing capabilities for defining auto-remediation rules, advanced routing options, problem detection without PromQL, change-tracking for Kubernetes resources, auto-resolve functionality, and integration with various external systems like Slack, Teams, and Jira. Users can utilize Robusta with or without Prometheus, and it can be installed alongside existing Prometheus setups or as part of an all-in-one Kubernetes observability stack.

IncidentFox is an open-source AI SRE tool designed to assist in incident response by automatically investigating incidents, finding root causes, and suggesting fixes. It integrates with observability stack, infrastructure, and collaboration tools, forming hypotheses, collecting data, and reasoning through to find root causes. The tool is built for production on-call scenarios, handling log sampling, alert correlation, anomaly detection, and dependency mapping. IncidentFox is highly customizable, Slack-first, and works on various platforms like web UI, GitHub, PagerDuty, and API. It aims to reduce incident resolution time, alert noise, and improve knowledge retention for engineering teams.

KubeDoor is a microservice resource management platform developed using Python and Vue, based on K8S admission control mechanism. It supports unified remote storage, monitoring, alerting, notification, and display for multiple K8S clusters. The platform focuses on resource analysis and control during daily peak hours of microservices, ensuring consistency between resource request rate and actual usage rate.

This AI-powered customer support application has access to terms and conditions (retrieval augmented generation, RAG), can access tools (Java methods) to perform actions, and uses an LLM to interact with the user. The application includes implementations for LangChain4j in the `main` branch and Spring AI in the `spring-ai` branch. The UI is built using Vaadin Hilla and the backend is built using Spring Boot.

PatchWork is an open-source framework designed for automating development tasks using large language models. It enables users to automate workflows such as PR reviews, bug fixing, security patching, and more through a self-hosted CLI agent and preferred LLMs. The framework consists of reusable atomic actions called Steps, customizable LLM prompts known as Prompt Templates, and LLM-assisted automations called Patchflows. Users can run Patchflows locally in their CLI/IDE or as part of CI/CD pipelines. PatchWork offers predefined patchflows like AutoFix, PRReview, GenerateREADME, DependencyUpgrade, and ResolveIssue, with the flexibility to create custom patchflows. Prompt templates are used to pass queries to LLMs and can be customized. Contributions to new patchflows, steps, and the core framework are encouraged, with chat assistants available to aid in the process. The roadmap includes expanding the patchflow library, introducing a debugger and validation module, supporting large-scale code embeddings, parallelization, fine-tuned models, and an open-source GUI. PatchWork is licensed under AGPL-3.0 terms, while custom patchflows and steps can be shared using the Apache-2.0 licensed patchwork template repository.

Cursor Agent History Tracking System is a simple tool to maintain context and track changes in conversations with Cursor when it's in AGENT mode. It ensures continuity even if the AI 'forgets' previous interactions. The system includes templates for starting chat sessions, tracking changes, and maintaining project status and goals. Users can modify the templates to suit their specific needs while following best practices for consistent formatting and documentation.

CB-Tumblebug (CB-TB) is a system for managing multi-cloud infrastructure consisting of resources from multiple cloud service providers. It provides an overview, features, and architecture. The tool supports various cloud providers and resource types, with ongoing development and localization efforts. Users can deploy a multi-cloud infra with GPUs, enjoy multiple LLMs in parallel, and utilize LLM-related scripts. The tool requires Linux, Docker, Docker Compose, and Golang for building the source. Users can run CB-TB with Docker Compose or from the Makefile, set up prerequisites, contribute to the project, and view a list of contributors. The tool is licensed under an open-source license.

Robusta is a tool designed to enhance Prometheus notifications for Kubernetes environments. It offers features such as smart grouping to reduce notification spam, AI investigation for alert analysis, alert enrichment with additional data like pod logs, self-healing capabilities for defining auto-remediation rules, advanced routing options, problem detection without PromQL, change-tracking for Kubernetes resources, auto-resolve functionality, and integration with various external systems like Slack, Teams, and Jira. Users can utilize Robusta with or without Prometheus, and it can be installed alongside existing Prometheus setups or as part of an all-in-one Kubernetes observability stack.

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.

This repository, 'awesome-mcp-servers-devops', is a curated list of Model Context Protocol servers for DevOps workflows. It includes servers for various aspects of DevOps such as infrastructure, CI/CD, monitoring, security, and cloud operations. The repository provides information on different MCP servers available for tools like GitHub, GitLab, Azure DevOps, Gitea, Terraform, Vault, Pulumi, Kubernetes, Docker Hub, Portainer, Qovery, various command line and local operation tools, browser automation tools, code execution tools, coding agents, aggregators, CI/CD tools like Argo CD, Jenkins, GitHub Actions, Codemagic, DevOps visibility tools, build tools, cloud platforms like AWS, Azure, Cloudflare, Alibaba Cloud, observability tools like Grafana, Datadog, Prometheus, VictoriaMetrics, Alertmanager, APM & monitoring tools, security tools like Snyk, Semgrep, and community security servers, collaboration tools like Atlassian, Jira, project management tools, service desks, Notion, and more.

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.