GitHub Trends

#go#cross_seed#cross_seeding#go#golang#libtorrent#qbit#qbittorrent#workflows qui is a fast, modern web interface for qBittorrent that lets you manage multiple instances from one lightweight app with no dependencies—just download and run. Key features include multi-instance support, cross-seeding to match torrents across trackers, rule-based automations, backups, and a responsive UI for large collections, accessible at http7476 via simple Linux or Docker setup. This benefits you by simplifying torrent management, boosting performance, enabling automations, and saving time on handling big libraries from a single, efficient dashboard. https://github.com/autobrr/qui

#python#n8n#n8n_workflow#workflows n8n offers ready-made templates for creating AI agents that automate content creation and business tasks. These templates cover everything from generating social media posts and videos to researching topics and managing leads—all without requiring coding skills. By using these pre-built workflows, you can quickly launch automation projects for marketing, content production, and lead generation, saving time and reducing manual work while scaling your business operations efficiently. https://github.com/gyoridavid/ai_agents_az

#python#agents#ai_agents#anthropic#anthropic_claude#automation#claude#claude_code#claude_code_cli#claude_code_commands#claude_code_plugin#claude_code_plugins#claude_code_subagents#claude_skills#claudecode#claudecode_config#claudecode_subagents#orchestration#sub_agents#subagents#workflows Claude Code Plugins provide a comprehensive system of 63 focused plugins containing 85 specialized agents, 47 skills, and 44 development tools organized for intelligent automation across software development. You install only what you need, keeping token usage minimal while accessing domain experts in architecture, languages, infrastructure, quality, and operations. Each plugin loads independently with its own agents and commands, letting you compose multiple plugins for complex workflows. This granular design means faster, cleaner sessions with progressive disclosure—knowledge loads only when activated. The benefit is significant productivity gains: you get expert-level assistance tailored to your specific task without unnecessary overhead, enabling your entire team to work more efficiently on development, infrastructure, security, and automation challenges. https://github.com/wshobson/agents

#typescript#mcp#mcp_server#n8n#workflows n8n-MCP is a tool that connects AI assistants like Claude to the n8n workflow automation platform, giving AI deep knowledge of over 500 n8n nodes, their properties, operations, and documentation. It helps you quickly find, configure, and validate workflow templates or build workflows from scratch with real-world examples and smart filtering. You can deploy it easily via npx, Docker, or cloud services. This saves you time, reduces errors, and boosts confidence by letting AI assist in designing and managing complex automations safely, as you test changes before applying them to production. It makes building and maintaining workflows faster and more reliable. https://github.com/czlonkowski/n8n-mcp

#python#agent_framework#agentic_ai#agents#ai#dotnet#multi_agent#orchestration#python#sdk#workflows Microsoft Agent Framework is an open-source toolkit that helps you build and manage AI agents and multi-agent workflows using Python or .NET. It combines the best features of previous Microsoft AI projects to let you create simple chatbots or complex workflows where multiple agents work together. It supports many AI models, connects easily to external tools and APIs, and runs anywhere—on cloud or on-premises. The framework also includes features like human review, workflow checkpointing, and monitoring to make your AI applications reliable and adaptable. This means you can build powerful, flexible AI solutions faster and with less code. https://github.com/microsoft/agent-framework

#java#distributed_systems#durable_execution#grpc#java#javascript#microservice_orchestration#orchestration_engine#orchestrator#reactjs#spring_boot#workflow_automation#workflow_engine#workflow_management#workflows Conductor is an open-source tool that helps you manage and automate complex workflows involving many microservices and systems. It makes your workflows flexible, reliable, and scalable by handling retries, errors, and monitoring automatically. You can define workflows as code in JSON, use various task types, and manage workflows dynamically without tightly coupling services. It offers an easy-to-use web interface and supports multiple databases like Redis and MySQL. This helps you build, run, and monitor workflows efficiently, saving time and reducing errors in managing distributed applications. It also has SDKs for Java, Python, JavaScript, Go, and C# to integrate easily with your projects. https://github.com/conductor-oss/conductor

#go#cli#event_driven#event_driven_architecture#queues#serverless#serverless_functions#workflow_engine#workflows Inngest lets you write reliable, long-running background functions called durable workflows that automatically handle retries, scheduling, and state management without needing to manage infrastructure like queues or servers. You write functions in your preferred language using their SDKs, run and test them locally with the Inngest Dev Server, then deploy them on your own infrastructure or Inngest’s platform. It supports complex workflows with steps that retry on failure, concurrency control, and event triggers. This saves you time and effort by simplifying event-driven app development, improving reliability, and scaling automatically without extra setup. It also offers tools for monitoring and managing workflows easily. https://github.com/inngest/inngest

#typescript#cli#clustering#concurrency#dependency_injection#effect#error_handling#javascript#observability#opentelemetry#platform#schema#typescript#workflows Effect is a powerful TypeScript framework that helps you build reliable and complex applications by managing side effects like logging, network calls, and database operations in a safe and organized way. It uses a core `Effect` type to describe workflows that are lazy, composable, and type-safe, allowing you to handle errors and dependencies explicitly. The framework is modular, with many packages for AI, CLI tools, distributed computing, SQL databases, and more, making it flexible for various needs. Using Effect improves code quality, concurrency handling, and maintainability, helping you write robust TypeScript apps efficiently[1][2][4][5]. https://github.com/Effect-TS/effect

#typescript#agents#ai#cloudflare#durable_objects#workflows Cloudflare Agents helps developers build intelligent AI systems that can remember things, communicate in real-time, and work on their own at a global scale. These AI agents can maintain their state and memory, allowing them to learn from interactions and respond better over time. The benefit to users is that they can create powerful AI tools more easily and affordably, without needing complex infrastructure. This means users can automate tasks more efficiently and make their AI systems smarter and more responsive. https://github.com/cloudflare/agents