Open Source Automation Tools
Discover 193 open source Automation repositories from GitHub, each with an analysis of what it does, key features, use cases and alternatives. Automation projects here are most often combined with AI Agents, Python and Developer Tools. Last updated October 4, 2026.
193 repositories · updated October 4, 2026
openinterpreter: Run Coding Agents in Your Terminal
Open Interpreter is a Rust-based terminal coding agent designed to get useful results from low-cost language models. It supports multiple agent harnesses and connects to ACP-compatible editors and Codex SDK clients.
mcp-server-excel: Automate Microsoft Excel with AI
mcp-server-excel lets AI assistants and coding agents automate the real Microsoft Excel application through MCP or a CLI. It suits Windows users who need workbook operations that file parsers cannot perform, such as refreshing Power Query or running VBA.
swarmclaw: Run and Coordinate Self-Hosted AI Agents
SwarmClaw is a self-hosted runtime and control plane for building AI agents and coordinating them as teams. It combines persistent memory, tools, schedules, and delegation with support for many model providers and external runtimes.
mercury-agent: Run a Permission-Aware AI Agent Across Channels
Mercury is a self-hosted AI agent for CLI, Telegram, and web use, with permission prompts, persistent memory, token budgets, and scheduled tasks. It suits people who want an always-on assistant they can configure and operate locally.
OpenHands: Manage Coding Agents and Automations
OpenHands Agent Canvas is a self-hosted control center for running coding agents and automations across local, remote, and cloud backends. It suits developers and teams that want one place to manage agent conversations and recurring workflows.
background-agents: Run Coding Agents in Background Sandboxes
Background Agents is a TypeScript system for running coding agents in isolated development sandboxes, with access through a web app and team tools like Slack, GitHub, and Linear. It suits trusted organizations that want asynchronous, automatable coding work and can operate a single-tenant deployment.
goose: Run an Extensible AI Agent on Your Machine
goose is a Rust-based AI agent available as a desktop app, CLI, and API. It connects to multiple LLM providers and MCP extensions, making it useful for code work as well as research, writing, automation, and data analysis.
nanobot: Run a Self-Hosted Personal AI Agent
nanobot is a Python framework for running a personal AI agent through a browser, terminal, or chat apps. It combines model integrations with tools, memory, MCP, and scheduled workflows for people who want a customizable agent they can host themselves.
QwenPaw: Run a Self-Hosted Personal AI Assistant
QwenPaw is a personal AI assistant that runs locally or in the cloud and connects to chat apps, models, and extensible tools. It suits people who want a customizable agent with persistent memory and security controls under their own deployment.
dramatiq: Process Background Tasks in Python
Dramatiq is a Python library for sending work to background workers through RabbitMQ or Redis. It suits Python applications that need distributed task processing without tying task execution to a web request or other foreground operation.
rq: Queue Python Jobs for Background Processing
RQ is a Redis- and Valkey-backed Python job queue that runs function calls in background worker processes. It suits Python applications that need straightforward asynchronous, scheduled, or retryable tasks without adopting a larger queueing system.
green: Run Python Unit Tests with Clear, Parallel Output
Green is a Python test runner for unittest projects, with colorized, hierarchical results and parallel execution. It suits developers who want clearer test feedback and automatic test discovery without changing their unittest test classes.