GitHub Trends

#elixir#agent#ai#artificial_intelligence#elixir#event_driven_architecture#functional_programming#orchestration#workflow Jido is a pure functional framework for Elixir to build autonomous multi-agent workflows. Agents are immutable data with a simple `cmd/2` function that transforms state purely and outputs directives for effects like signals or spawning, handled by OTP runtime. It formalizes patterns like standard signals, reusable actions, and hierarchies over raw GenServer, adding AI tools, strategies (ReAct, FSM), and supervision. You benefit by creating scalable, testable, fault-tolerant agent systems easily for production AI apps, saving reinvented code. https://github.com/agentjido/jido

#typescript#agentic_ai#ai_agents#claude_code#cli#codex#coding_agents#cursor_agent#desktop_app#developer_tools#electron#git_worktree#llm#mcp#opencode#orchestration#parallel_agents#terminal#tui#vibe_coding#worktrees Superset is a turbocharged macOS terminal for running 10+ CLI coding agents like Claude Code, Cursor, and GitHub Copilot in parallel. It isolates tasks in separate Git worktrees to avoid interference, lets you monitor progress from one dashboard, review changes with a built-in diff viewer, and switch contexts quickly. You benefit by coding 10x faster, shipping more without context-switching delays or conflicts, saving time on development workflows. https://github.com/superset-sh/superset

#javascript#agents#ai#ai_agents#automation#claude#cli#development#framework#fullstack#nodejs#orchestration#typescript Synkra AIOS is an AI-powered development framework that automates software creation through specialized agents working together in coordinated teams. It uses a two-phase approach: planning agents (analyst, PM, architect) create detailed project specifications, then development agents (Scrum Master, developer, QA) execute those plans with full context preserved throughout. The framework prioritizes CLI-first operations with observability and UI as secondary layers, eliminating common problems like planning inconsistency and context loss in AI-assisted development. You benefit from faster, more coherent project delivery with autonomous agents handling planning, coding, and quality assurance while maintaining architectural consistency and reducing manual coordination overhead. https://github.com/SynkraAI/aios-core

#go#containers#deployment#devops#docker#docker_compose#golang#hacktoberfest#kubernetes#orchestration#self_hosted Uncloud lets you run and manage web apps across multiple servers (cloud, home, or bare metal) as easily as using Docker Compose, but with production features like zero-downtime updates, automatic HTTPS, and cross-machine scaling. It connects your machines into a secure, private network without needing a central control server, so there’s less to manage and no single point of failure. You keep full control of your infrastructure and data, avoid vendor lock-in, and get a simple, cloud-like experience without the complexity of Kubernetes. https://github.com/psviderski/uncloud

#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

#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

#typescript#12_factor#12_factor_agents#agents#ai#context_window#framework#llms#memory#orchestration#prompt_engineering#rag The 12-Factor Agents are a set of proven principles to build reliable, scalable, and maintainable AI applications powered by large language models (LLMs). They help you combine the creativity of AI with the stability of traditional software by managing prompts, context, tool calls, error handling, and human collaboration effectively. Instead of relying solely on complex frameworks, you can apply these modular concepts to improve your existing products quickly and reach high-quality AI performance for real users. This approach makes AI software easier to develop, debug, and scale, ensuring it works well in production environments[1][3][5]. https://github.com/humanlayer/12-factor-agents