Looking at agent setups that can actually run with minimal human intervention

Reddit r/artificial Tools

Summary

The author discusses AI agent frameworks that minimize human intervention, highlighting projects like GitHub Agentic Workflows, OpenClaw, Hermes, and Aeon, and seeks community input on reliable options for long-running agent work.

Most agent frameworks still expect you to stay in the loop (approve tool calls, review diffs, restart things when they stall). I’ve been trying a few approaches that try to reduce that. In my opinion the closest current options are: GitHub Agentic Workflows – agents that live inside Actions and can handle recurring repo tasks with guardrails OpenClaw – more of a personal agent harness, strong multi-channel support Hermes – leans into self-improvement over longer periods of use Aeon – runs entirely on GitHub Actions, keeps persistent memory + a simple strategy file, and has a basic self-repair loop for skills that keep failing. Public repos get free minutes so infra cost is basically zero. Curious what people here are actually using for long-running or recurring agent work. Any other projects in this space that feel more solid?
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