Agent Autoloop, a new tool, is designed to keep command-line AI agents working without a person starting each task, using triggers such as a scheduled time, a newly opened GitHub issue, or an error inside an application.
Agent Autoloop · Event-driven AI agents
Keeping command-line AI agents working after the terminal closes
Agent Autoloop wraps command-line agents in a loop that runs on its own. Instead of waiting for a developer to start each task, it launches work when a user-defined event occurs, such as a scheduled time, a new GitHub issue, or an error inside an application.
How a background task runs
1 · TRIGGER
A user-defined event fires: a schedule, a new issue, or an application error.
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2 · AGENT LOOP
The command-line agent runs in the background, without a terminal session kept open.
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3 · ACTION
The agent works on the task, guided by rules that govern its behavior.
Three supported trigger types
Scheduled time
A cron schedule starts a job at a set time.
New GitHub issue
Opening an issue can trigger the agent to work on that issue.
Application error
An error detected in an application can prompt the agent to act.
What it addresses
The agent no longer stops when the terminal is closed, a limitation developers have described with Claude Code.
Less manual monitoring, since work starts on its own when events occur.
A shift from watching each step in an interactive session toward agents that respond in the background.
Questions developers will weigh
How the agent is kept from making unwanted changes.
How failures are reported.
What permissions the agent receives in a repository or production system.
Not yet confirmed
Reliability and suitability for production use remain open. Check the project's own documentation before relying on it.
How rules are written
Degree of user control
Pricing
Licensing
Agents beyond those named
Installation requirements
Independent testing
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