An agent that works in a 30-minute screencast and one that survives Tuesday at 3am are not the same system. The gap between them is the demo-to-production cliff. Most agent tools sit on it with everyone else.
Engineers, founders, builders, and AI-tool-using product people who spend hours a day in AI coding tools (Claude Code, Codex, Cursor, or similar) and have personally tried to put agent work on a schedule, a Routine, an Automation, or a hand-rolled cron job. They identify as “AI-native” or “AI engineers”; they don't wait for procurement to try things; they pay out of pocket for tools when needed. They are the person their team trusts to ship the AI layer.
Each shows up in the product. None are aspirational.
If you stitched together cron, a Routine, a Slack approval flow, and a memory.md file, you've felt this. Every Mobius run is a sequence of named steps. Each step produces an output. Tool calls and action calls show up in the event stream. You can read what an agent did and why.
Agent steps reason and use tools. Action steps perform one deterministic call. Mixing them in the same run lets each step be the right kind of work, with no LLM in the loop when one isn't needed.
request_information, request_approval, and request_review are peer step types, not Slack-button glue. The run pauses, the right person responds, the run resumes with the response in scope.
Workers run actions and customer-managed model calls on your hardware. Mobius coordinates the run from the cloud and stores its state. Your firewall stays as it is; the worker dials out.
Resumable runs, retries, audit trails, and inspectable artifacts are built into every run from the first one. You don't bolt them on after the demo.
Commitments Mobius makes to its customers and to itself. The cost of each is the point.
Workers run where you put them. If you operate the hardware, we don't bill its runtime. By policy.
Customer-managed model calls execute on your worker. Mobius doesn't proxy them.
The agent doesn't press the red button. Interactions are step types. The run pauses, you decide, the run resumes.
Visible before the bill arrives. The ceiling is shown at the top of every run.
Every early-access request gets a real reply from a real person.
The person on the team who knows how to put agents into production without anyone losing the bill, the data, or the keys. That's the identity Mobius is built to support.
Mobius is built by Curtis Myzie at DeepNoodle. DeepNoodle is the studio behind several Go libraries used in AI infrastructure, including Dive, a cross-provider LLM library for building agents.
We're taking pilot teams personally during early access. If you're building something where agents need to run in the background (for your team or inside your product), we want to hear about it.
Grade your current setup (DIY script, Routine, Codex/Cursor Automation, n8n hybrid) against the eight things that decide whether an unattended agent survives the night.
