Awesome GitHub RepositoriesCode Workflow Executions

Osmedeus is a security workflow orchestration engine that coordinates AI agents, shell commands, and scanning tools through declarative YAML pipelines. It functions as a distributed security scanner, a declarative workflow automator, and an AI agent framework for security, enabling automated multi-step security analysis with conditional branching, parallel execution, and distributed workers. The engine distinguishes itself through a hybrid runner model that executes workflow steps on the local host, inside Docker containers, or over SSH to remote machines, selected per step or module. It supp

CodeCompanion is a Neovim plugin that brings large language model capabilities directly into the editor, enabling turn-based conversations with AI models in a dedicated chat buffer. It provides a comprehensive interface for interacting with LLMs, supporting multiple providers through a flexible adapter system that can route requests to various hosted or local language model services. The plugin distinguishes itself through its extensive context-sharing capabilities, allowing users to send buffer contents, visual selections, git diffs, LSP diagnostics, terminal output, quickfix lists, and view

This is a curated gallery of real-world workflows demonstrating how to use Claude Code for AI-driven coding, debugging, and development automation. The showcase includes executable scripts that reproduce each AI interaction locally, allowing you to see exactly how the assistant generates, explains, and modifies code within a development environment. The project shows how to build custom AI agents with targeted prompts and multi-step slash commands, define project-wide memory that persists across sessions, and inject domain-specific knowledge through markdown files. It also demonstrates integr

github-script is a GitHub Actions JavaScript runner that executes asynchronous scripts to interact with the GitHub API. It serves as a JavaScript workflow scripting runtime and API client, providing a pre-configured authenticated client for automating tasks within GitHub Actions pipelines. The project enables the implementation of custom workflow logic that exceeds standard YAML syntax, including the ability to perform REST API calls and execute GraphQL queries for complex data extraction. It supports the management of multiple authenticated clients to facilitate cross-organization repository

This project is an agentic development framework and autonomous software engineering system. It utilizes a coordinated network of specialized LLM agents to automate the full software development lifecycle, from codebase exploration and architectural planning to implementation and automated refactoring. The system is distinguished by an agentic memory system and a test-driven development orchestrator. It maintains project continuity across sessions by capturing architectural learnings and state in a persistent semantic database and enforces code quality through an automated cycle of generating