Open Source Workflow Automation Tools
Discover 66 open source Workflow Automation repositories from GitHub, each with an analysis of what it does, key features, use cases and alternatives. Workflow Automation projects here are most often combined with AI Agents, Developer Tools and Automation. Last updated October 4, 2026.
66 repositories · updated October 4, 2026
DeclarAgent: Run Auditable Workflows for AI Agents
DeclarAgent executes YAML runbooks through a CLI or MCP server, giving AI agents a structured way to validate, preview, and run multi-step workflows. It suits teams that want reusable plans and explicit controls around side effects.
skill-recorder: Turn Recorded Work into Reusable AI Skills
Skill Recorder captures a desktop work session and uses GitHub Copilot CLI to turn it into ordered steps, then a reusable agent skill or automation. It suits people who want to teach agents workflows by example.
gsd-pi: Plan and Run Coding Work with an AI Agent
GSD Pi is a local-first command-line coding agent that plans work into milestones and tasks, implements changes, and tracks verification. It suits developers who want structured, longer-running AI-assisted work with project state kept locally.
worktrunk: Manage Git Worktrees for Parallel Development
Worktrunk is a Rust CLI that simplifies creating, switching between, and cleaning up Git worktrees. It suits developers running parallel tasks, especially with AI coding agents, who want consistent worktree workflows and automation.
aidevops: Coordinate AI Agents Across Development and Operations
An OpenCode plugin and shell-based framework for coordinating AI agents across software delivery, DevOps, and business workflows. It combines specialist guidance with isolated Git work, verification, and automation for teams seeking a more durable alternative to one-off AI chats.
ferry: Turn Jira Ticket Moves Into Draft Pull Requests
Ferry uses Jira ticket transitions to start an agent pipeline in GitHub Actions, from refinement through review and merging. It suits teams seeking an automated development workflow, but requires Jira Cloud, GitHub Actions setup, and an LLM provider.
ralph-orchestrator: Coordinate AI Agents in Task-Completion Loops
Ralph Orchestrator runs AI coding agents in structured loops, using specialized roles and quality gates to keep work moving toward completion. It suits developers who want repeatable, multi-step workflows across several agent CLIs.
github-tools: Give AI Agents Typed Access to GitHub
A TypeScript toolkit that turns GitHub API operations into typed tools for AI SDK agents. It adds task-focused presets, human approval for writes, and support for durable agent execution.
ArcReel: Turn Stories and Scripts Into Editable Videos
ArcReel is a self-hosted workspace for turning novels, scripts, or product materials into storyboards and short videos. It organizes AI-generated assets and production steps, tracks costs, and can export a CapCut-compatible workflow as a Jianying draft for further editing.
adk-rust: Build AI Agents with Rust
ADK-Rust is a modular framework for building and deploying asynchronous AI agents in Rust. It supports multiple model providers, tools, workflows, memory, and real-time voice, with composable crates for projects ranging from prototypes to production services.
gh-aw: Build AI-Powered Repository Workflows
gh-aw is a GitHub CLI extension for defining AI-powered repository automation in Markdown and running it through GitHub Actions. It suits teams adding agent reasoning to tasks that are difficult to express as deterministic scripts.
loopx: Govern Long-Running AI Agent Work
LoopX is a local-first control plane that preserves goals, decisions, tasks and evidence across agent sessions. It helps individuals and teams coordinate long-running work while keeping continuation, handoffs and human approval visible.