Open Source Automation Tools
Automation uses software to carry out repetitive or rule-based tasks with less manual effort. It can connect applications, process data, control devices, run browser or desktop actions, and coordinate multi-step workflows. By making tasks repeatable, automation can reduce errors, save time, and help teams manage work that would otherwise require frequent human intervention.
Open source automation tools range from workflow builders and scripting frameworks to browser controls, data extraction utilities, and systems for coordinating AI agents. When choosing a tool, consider its maturity, license, maintenance activity, security model, system requirements, and compatibility with your existing services. Automation is useful for developers, operations teams, researchers, and individuals looking to streamline routine work or build repeatable processes.
92 repositories · updated September 27, 2026
Meshtastic-MCP: AI Tooling for Meshtastic Device Control and Testing
Meshtastic-MCP provides an MCP server and agent skills designed for AI tooling to discover, drive, observe, and test Meshtastic devices and applications. It offers a comprehensive suite of capabilities, from portable device control to advanced hardware-free end-to-end testing and replay functionalities. This project aims to streamline the development and testing of Meshtastic ecosystems.
dcc-mcp-blender: AI-Driven 3D Workflows with an Embedded MCP Server
dcc-mcp-blender is a powerful Blender addon that integrates an embedded Streamable HTTP MCP server directly into Blender. This allows any MCP-compatible AI client to seamlessly control and automate your 3D modeling, animation, and rendering workflows. It offers over 200 pre-built tools and an extensible skill system for robust production environments.
AutoResearch: AI/ML Research Agents from Idea to Paper-Ready Evidence
AutoResearch is an open-source agent workflow designed for AI and machine learning research. It automates the entire research process, from generating ideas and planning experiments to execution, analysis, and independent evaluation. This project helps researchers produce paper-ready evidence efficiently and with traceable provenance.
uta: A CLI Agent Orchestrator for Parallel AI Task Management
uta is a command-line interface (CLI) agent orchestrator designed to decompose complex goals into parallel subtasks. It can dispatch these tasks to various agent CLIs like Claude Code or Gemini CLI, record every step of the process, and synthesize the final results. This tool enhances agent capabilities by enabling parallelism and cross-provider task execution.
AstronRPA: Open-Source Enterprise RPA Suite with AI Agent Integration
AstronRPA is an open-source, enterprise-grade Robotic Process Automation (RPA) desktop application. It features a low-code, no-code visual designer for building automation workflows across desktop software and web pages. Deeply integrated with AI agents, AstronRPA empowers broader business automation scenarios for both individuals and enterprises.
Goon: Autonomous AI Worker for Software Development and Custom Workflows
Goon is a self-hosted, autonomous AI worker designed to streamline software development and automate custom workflows. Built with Go and having zero dependencies, it operates as a daemon, capable of tasks from writing code and opening PRs to summarizing emails and monitoring logs. It learns from your context and asks for human approval before acting, ensuring controlled and intelligent automation.
session-to-skill: Automate AI Agent Skill Creation from OpenCode Sessions
session-to-skill is a powerful tool designed to transform OpenCode shared sessions into fully validated, reusable, and publishable AI agent skills. It automates the process of extracting patterns, applying TRACE validation and security checks, and packaging the skill into a ZIP file, streamlining development for platforms like SkillHub.
DA-Forge: Streamlining Declarative Agent Creation for Copilot Notebooks
DA-Forge is a Python-based tool by Microsoft designed to automate the creation and deployment of Declarative Agents for Copilot Notebooks. It significantly reduces the manual effort and time required to set up AI assistants with specific grounding references, transforming an 85-minute process into just a few minutes. This tool is essential for developers and researchers working with Copilot Notebooks and Declarative Agents.
DeclarAgent: Declarative Runbook Executor for Safe AI Agent Workflows
DeclarAgent is an innovative declarative runbook executor specifically designed for AI agents. It enables agents to validate, dry-run, and safely execute multi-step YAML workflows. This tool provides a structured, auditable, and secure way for LLM agents to interact with real CLI workflows, enhancing their operational safety and reliability.
Skill Recorder: Turn Screen Recordings into AI Agent Skills
Skill Recorder is a desktop application that captures your on-screen work sessions, including clicks and app switches. It leverages the GitHub Copilot CLI to analyze these recordings, reconstructing them into an intent and ordered steps. This process allows users to generate reusable AI agent skills or automations for platforms like Microsoft Scout, Copilot Cowork, or Copilot Studio.
Worktrunk: Streamlining Git Worktree Management for AI Agent Workflows
Worktrunk is a powerful CLI tool built in Rust, designed to simplify Git worktree management. It's particularly optimized for parallel AI agent workflows, making it easy to handle multiple development branches simultaneously. By abstracting away the complexities of native Git worktrees, Worktrunk enhances developer productivity with intuitive commands and automation features.
aidevops: Autonomous AI DevOps Framework for 100x Developer Productivity
aidevops is an AI DevOps framework and OpenCode plugin designed to automate complex development, business, and creative projects. It enables AI agents to perform useful work across various domains, providing structure, security, and token efficiency for autonomous project delivery. This platform aims to significantly enhance developer capabilities by managing projects end-to-end without constant human supervision.