Awesome GitHub RepositoriesSubagent Definitions

ECC 是一个 LLM 智能体编排框架和跨平台 AI 工具套件，旨在协调多模型工作流。它提供了一个用于管理专业智能体角色、可复用技能和结构化规划的系统，以在不同的 AI 驱动代码编辑器中执行复杂的软件开发任务。 该项目作为模型上下文协议（Model Context Protocol）管理器脱颖而出，提供了一个配置层来集成外部服务器并审计工具执行。它进一步实现了一个智能体安全沙箱，限制敏感文件访问并扫描密钥泄露，以保护自主工作流。 该框架涵盖了广泛的能力领域，包括带有测试驱动开发护栏的 AI 编码工作流自动化、通过智能路由实现模型成本优化以及状态隔离的内存管理。它还包括用于强制执行特定语言编码标准和管理跨各种集成开发环境的智能体行为的工具。 该系统通过命令行界面进行管理，该界面处理工具安装、配置修复和工具预设的部署。

Everything Claude Code 是一个智能体框架，旨在通过专门的子智能体委派来编排复杂的软件开发工作流。它充当控制平面，管理智能体行为、工具访问和上下文窗口效率，允许开发者将大型任务分解为专注的、有范围的子进程，从而防止系统过载。 该框架通过强大的安全和自动化层脱颖而出，其中包括自动化静态分析和对抗性红队测试，以审计智能体配置。它支持创建可复用的行为模式和自动化序列，这些模式和序列可以作为模块化技能在不同环境中共享。通过同步项目特定的配置和聊天指令，它确保了编码标准和安全约束在命令行和集成开发环境中保持一致。 除了核心编排能力外，该项目还提供了用于在长时间运行的会话期间管理运营成本的综合工具。它包括用于动态 Token 优化、会话状态管理和触发验证或质量强制执行脚本的事件驱动钩子的机制。该系统还支持从版本控制历史中提取重复模式以生成专门的技能集合，进一步简化了重复性的开发任务。

This project provides a command-line interface for managing autonomous agent workflows, task orchestration, and system-level automation. It includes a comprehensive framework for defining agent skills, managing persistent memory, and delegating tasks to specialized subagents. Users can configure complex planning modes, execute shell commands with safety constraints, and integrate external tools through standardized protocols. The platform supports non-interactive execution via a headless mode and provides an event-driven hook framework for custom lifecycle automation. It features centralized

This project provides a framework for managing multi-agent systems, designed to automate complex software development, infrastructure, and business workflows. It functions as a multi-agent workflow orchestrator that routes tasks to domain-specific workers while maintaining state persistence and infrastructure automation. By leveraging large language models, the system decomposes high-level objectives into actionable plans, ensuring that complex operations are executed with consistency and reliability. The framework distinguishes itself through its hierarchical agent registry and policy-driven

mcp-agent is a framework for building AI agents that integrate with Model Context Protocol servers to execute tools and access data. It functions as a multi-agent orchestrator and protocol-compliant server, enabling the creation of agents that can discover and invoke tools from connected external servers. The project distinguishes itself through a durable workflow engine that supports long-running tasks capable of pausing, resuming, and surviving restarts. It implements complex orchestration patterns, including iterative evaluator-optimizer loops, hierarchical workflow nesting, and specialist

This is an open-source educational website that translates and localizes MIT's Missing Semester course, teaching practical computing skills for computer science students. The curriculum covers developer tooling, shell scripting, version control, security fundamentals, and open-source collaboration, with a focus on core computing skills including data processing pipelines, workflow automation, secure remote access, shell productivity, Vim editing, and Git version control. The project distinguishes itself by teaching command-line mastery, shell scripting, and automation to boost daily developer