Search Results for "multi-system" - Page 15
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Showing 38001 open source projects for "multi-system"
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Grafana
Leading open-source visualization and observability platform
Grafana OSS is the leading open-source platform for visualization and observability. It enables teams to query, visualize, alert on, and explore telemetry data from multiple sources in a single interface. With support for 100+ data source plugins—including Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, and OpenTelemetry—Grafana helps teams correlate metrics, logs, and traces across applications and infrastructure. Users can build interactive dashboards with rich... -
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yudao-cloud
New Cloud version of Ruoyi-Vue-Pro optimized to refactor all features
yudao-cloud is the cloud-native evolution of the popular ruoyi-vue-pro backend system, rebuilt around Spring Cloud Alibaba and a microservice architecture. It delivers a full-stack solution that combines a Spring-based backend, MyBatis Plus for data access, and a Vue + Element-based admin front-end, along with user-facing mini-programs. The system targets enterprise scenarios and includes modules for RBAC-based dynamic permissions, multi-tenant SaaS capabilities, data permissions, and workflow/process engines. ... -
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Docker Compose
Define and run multi-container applications with Docker
Docker Compose is an open source tool for defining and running multi-container applications with Docker. Compose lets you use a YAML file to configure your application’s services, and then create and start all the services from your configuration with just a single command. Compose works great in all environments: production, staging, testing, development, and on CI workflows. Compose has commands for every stage of your application lifecycle, from starting, stopping and rebuilding services, through to status viewing, streaming of log output and running a one-off command on a service. -
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Zephyr Project
Scalable, optimized, secure RTOS for multiple hardware architectures
The Zephyr Project is a new generation real-time operating system (RTOS) that supports multiple hardware architectures. It is based on a small-footprint kernel specially designed for use on resource-constrained and embedded systems. The Zephyr OS can be used for a wide range of applications: from simple embedded environmental sensors and LED wearables to sophisticated embedded controllers, smart watches, and IoT wireless applications. -
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AxonHub
Use any SDK to call 100+ LLMs
...The system also provides infrastructure features such as request routing, failover mechanisms, load balancing, and cost management for AI applications. This architecture makes it easier to experiment with multiple models and manage production deployments that rely on several providers simultaneously. -
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Dokploy
Open Source Alternative to Vercel, Netlify and Heroku
Streamline your operations with our all-in-one platform, perfect for managing projects, data, and system health with simplicity and efficiency. Simplify your project and data management, ensure robust monitoring, and secure your backups—all without the fuss over minute details. Elevate your infrastructure with tools that offer precise control, detailed monitoring, and enhanced security, ensuring seamless management and robust performance. -
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Claude Relay Service
Claude Code image, a one-stop open source transit service
...The project is designed to help users centralize subscriptions and API usage for services such as Claude, OpenAI, Gemini, and related tools. It acts as a middleware layer that forwards requests while managing authentication, routing, and cost-sharing scenarios. The system is particularly useful for teams or communities that want to pool access or simplify integration with different AI backends. Its architecture supports compatibility with native client tools so existing workflows can continue to function without major modification. Overall, claude-relay-service functions as a flexible AI access hub for consolidating multi-provider model usage. -
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uAgents
A fast and lightweight framework for creating decentralized agents
uAgents is a library developed by Fetch.ai that allows for creating autonomous AI agents in Python. With simple and expressive decorators, you can have an agent that performs various tasks on a schedule or takes action on various events. -
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Robusta
Kubernetes observability and automation
Keep your Kubernetes microservices up and running. Connect your existing Prometheus, gain 360° observability. Robusta is both an automation engine for Kubernetes and a multi-cluster observability platform. Robusta is commonly used alongside Prometheus, but other tools are supported too. By listening to all the events in your cluster, Robusta can tell you why alerts fired, what happened at the same time, and what you can do about it. Robusta can either improve your existing alerts or be used to define new alerts triggered by APIServer changes. -
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AgentHub
GitHub is for humans. AgentHub is for agents
...This approach reflects emerging research in multi-agent software development where groups of AI systems collaborate on complex engineering problems. -
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OriLauncher
Fast, user-friendly cross-platform custom launcher for Minecraft
...Players have control over technical settings like RAM allocation and Java version selection directly within the launcher, allowing them to optimize performance for their system. -
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k3s in docker
Little helper to run CNCF's k3s in Docker
k3d is a lightweight wrapper to run k3s (Rancher Lab’s minimal Kubernetes distribution) in docker. k3d makes it very easy to create single- and multi-node k3s clusters in docker, e.g. for local development on Kubernetes. Note: k3d is a community-driven project but it’s not an official Rancher (SUSE) product. Sponsoring: To spend any significant amount of time improving k3d, we rely on sponsorships. k3d creates containerized k3s clusters. This means, that you can spin up a multi-node k3s cluster on a single machine using docker. -
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S-UI
An advanced Web Panel • Built for SagerNet/Sing-Box
...The platform supports multiple protocols and clients, making it flexible for different networking scenarios such as proxy servers, tunneling, and custom routing setups. It includes features for generating subscription links in various formats, allowing easy distribution of configurations to client devices. The system is built with a full-stack architecture combining a Go backend and a modern frontend, ensuring both performance and usability. It also exposes API endpoints for automation and integration with external tools, enabling advanced users to build custom workflows. -
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LitServe
Minimal Python framework for scalable AI inference servers fast
LitServe is a minimal Python framework designed for building custom AI inference servers with full control over how models are executed and served. It allows developers to define their own inference logic, making it suitable for complex systems such as multi-model pipelines, agents, and retrieval-augmented generation workflows. Unlike traditional serving tools that enforce rigid abstractions, LitServe focuses on flexibility by letting users control request handling, batching strategies, and output processing directly in Python. LitServe is built on top of FastAPI and extends it with AI-specific optimizations such as efficient multi-worker execution, which can significantly improve throughput. ... -
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Dockhand
Docker management you will like
Dockhand is a modern, self-hosted Docker management application that provides a graphical interface for handling container operations, Docker Compose stacks, and multi-environment orchestration without relying solely on terminal commands. Designed for homelab enthusiasts, developers, and growing teams, Dockhand offers real-time container lifecycle controls, visual editors for stacks, and a dashboard that shows system metrics like CPU and memory usage. The platform supports Git integration for deploying and syncing Compose stacks directly from repositories, interactive log streaming, and shell access into containers. ... -
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Open ChatGPT Atlas
Open Source and Free Alternative to ChatGPT Atlas
Open ChatGPT Atlas is an open-source toolkit and interface for working with OpenAI’s ChatGPT models in a more extensible, adaptable, and composable way than standard web UIs allow. It provides an architecture where developers and power users can manage state, tool integrations, and multi-turn workflows with more control, enabling custom UIs, automation layers, and advanced routing logic. Unlike a fixed chat app, Atlas is designed as a foundation that can be extended with plugins, external APIs, and custom logic to support domain-specific assistants, agent-like behaviors, and multi-task workflows. The project includes utilities for session management to preserve context across interactions, structured interfaces for streaming responses, and integration layers that let you plug in third-party tools and services. ... -
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Matrix
Multi-Agent daTa geneRation Infra and eXperimentation framework
Matrix is a distributed, large-scale engine for multi-agent synthetic data generation and experiments: it provides the infrastructure to run thousands of “agentic” workflows concurrently (e.g. multiple LLMs interacting, reasoning, generating content, data-processing pipelines) by leveraging distributed computing (like Ray + cluster management). The idea is to treat data generation as a “data-to-data” transformation: each input item defines a task, and the runtime orchestrates asynchronous, peer-to-peer agent workflows, avoiding global synchronization bottlenecks. ... -
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Contour Kubernetes
Contour is a Kubernetes ingress controller using Envoy proxy
Contour is an open source Kubernetes ingress controller providing the control plane for the Envoy edge and service proxy. Contour supports dynamic configuration updates and multi-team ingress delegation out of the box while maintaining a lightweight profile. Quickly deploy cloud-native applications using the flexible and innovative HTTPProxy API. Update Envoy configurations as the ingress and underlying elements change, without restarting the load balancer. Safely delegate ingress configuration to protect service access on multi-team Kubernetes clusters. -
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FireRedTTS-2
Long-form streaming TTS system for multi-speaker dialogue generation
FireRedTTS2 is a next-generation open-source text-to-speech (TTS) system focused on long-form, streaming speech synthesis for multi-speaker dialogue, delivering stable natural speech with context-aware prosody and reliable speaker transitions that support real-time and conversational applications. It features a specialized streaming speech tokenizer and a dual-transformer architecture that enables low latency and high-quality synthesis, making it suitable for interactive systems like chatbots, podcasts, and applications where dynamic turn-taking between speakers is essential. ... -
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KOReader
An ebook reader application supporting PDF, DjVu, EPUB, FB2, etc.
...Runs on embedded devices (Cervantes, Kindle, Kobo, PocketBook, reMarkable), Android and Linux computers. Developers can run a KOReader emulator in Linux and MacOS. Multi-lingual user interface with a highly customizable reader view and many typesetting options. You can set arbitrary page margins, override line spacing and choose external fonts and styles. It has multi-lingual hyphenation dictionaries bundled into the application. Custom UI without animation, with paginated menus, adjustable text contrast, and easy zoom to fit content or page in paged media. ... -
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CubeFS
cloud-native file store
...Support replicas and erasure coding engines, users can choose flexibly according to business scenarios. Easy to build a PB or EB-scale distributed storage service, and each module can be expanded horizontally. Supports multi-tenant management and provides fine-grained tenant isolation policies. Supports multi-level caching, and multiple high-performance replication protocols, and optimizes specific performance for small files. -
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fideo
A convenient live broadcast recording software
...The software supports a wide range of streaming platforms, including YouTube, Twitch, TikTok, and others, making it highly versatile for content archiving. It includes a user-friendly interface that enables batch monitoring, search, and sorting of live streams. The system also supports automation features such as auto-start recording when streams go live and background operation without system sleep interruptions. Configuration options allow users to manage cookies, proxies, and recording preferences for different platforms. Overall, it provides a practical and centralized solution for recording live streaming content locally. -
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Python API for JMComic
Python crawler and API for downloading JMComic albums and images
JMComic-Crawler-Python is a Python library and crawler framework designed to programmatically access and download comic content from the JMComic platform. It provides a structured API that allows developers to retrieve albums, chapters, and images using simple Python code while handling the necessary network requests and data processing behind the scenes. It supports both web-based and mobile API interfaces, enabling flexible interaction with the platform depending on the available... -
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Gleam
A friendly language for building type-safe, scalable systems!
Gleam's powerful static type system helps find and prevent bugs at compile time, long before it reaches your users. It also serves as a productive refactoring tool, enabling programmers to confidently make large changes to unfamiliar code, quickly and with low risk. For problems, the type system can't solve (such as your server being hit by a bolt of lightning) the Erlang virtual machine provides well-tested mechanisms for gracefully handling failure. -
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Agentless
An agentless approach to automatically solve software development
Agentless is an open-source framework that applies large language models to automatically resolve software development issues without relying on complex autonomous agent systems. The project proposes an alternative approach to AI-driven code repair that avoids the overhead of multi-agent orchestration by using a structured pipeline for identifying and fixing bugs. When solving a problem, the system first performs localization to determine which files, functions, or code segments are most likely responsible for the issue. It then generates multiple candidate patches for the identified locations using language model reasoning and diff-style edits. ...
