agent-autoloop
Background automation for command line AI agents
Developer ToolsOpen sourceOpen source · verified#cli#automation#ai-agents
Listed by the ProductPerch team from GitHub · not launched here yet
What is agent-autoloop?
agent-autoloop is a local automation framework designed for command line AI coding agents like Claude Code and Codex. It runs tasks in the background without requiring a cloud server or public network ports. The system uses a zero-dependency core that manages task scheduling and event routing.
When an agent encounters a task requiring human approval, such as deleting data or spending money, the framework pauses execution and sends a notification card to platforms like Slack, Discord, or desktop notifications. It consumes no tokens or processes while waiting for a response. Once the user replies, the agent resumes its previous session and completes the work.
Configuration is handled through a simple rules file that maps triggers, such as cron schedules or GitHub issues, to specific agents and directories. Users manage the workflow through terminal commands that check status, pause rules, run tasks immediately, or preview event routing. The project is released under the MIT license.
agent-autoloop features
- Runs locally on Windows, macOS, and Linux without cloud dependencies
- Pauses agent execution and requests human approval via desktop or chat notifications
- Routes events from cron jobs, GitHub issues, or custom sources to configured agents
- Manages task queues and merges duplicate messages into single processing rounds
- Provides terminal commands for monitoring status, pausing rules, and testing configurations
- Uses a lightweight core with pluggable sources, agents, and notification channels
Who uses agent-autoloop and for what
- Automate daily morning reports by scheduling an AI agent to summarize notes and commits at a set time
- Route new GitHub issues directly to a coding agent for initial triage and handling
- Run background maintenance tasks on local codebases without keeping a terminal window open
- Handle sensitive operations like database cleanup or service restarts with manual approval steps
- Integrate multiple command line AI tools into a single coordinated workflow using a shared rules file
agent-autoloop FAQ
Is agent-autoloop free?
Yes, the project is available under the MIT license and can be downloaded and used at no cost. The website does not mention any paid tiers or commercial licensing options.
Does agent-autoloop work on Mac?
Yes, it supports macOS along with Windows and Linux. Installation requires Node version 24 or newer, Git, and curl on Unix-like systems. A GitHub account is not required.
What is agent-autoloop used for?
It automates command line AI agents by running them in the background. The tool handles task scheduling, event routing, and human approval workflows so users do not need to watch terminals or keep sessions active.
How do I add a new AI agent to agent-autoloop?
You can connect any command line tool that accepts prompts and prints responses by adding it to the configuration file. The framework does not require SDKs or modifications to the agent source code.
Can agent-autoloop send notifications to Slack or Discord?
Yes, the system supports pushing approval cards to Slack, Discord, Feishu, DingTalk, WeCom, and desktop notifications. The website does not specify additional notification channels beyond these.
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