AI-native scheduled agents

Run your AI agents while you're not watching.

Mobius runs your agents on schedules and events, with tools and human review when it matters.

run · code-reviewer· est. 28m
ceiling $1.20 of $5.00
  1. trigger06:42
  2. reason06:43
  3. act06:43
  4. review06:44github · openai
  5. askETA→ curtis
  6. doneETA

A trigger fires, the agent reasons and acts on your worker, a human reviews before it finishes, all in one durable run you can replay.

Runtime gap

Without a runtime, the agent layer becomes the most fragile thing in your stack. You either stop running them unattended, or build the runtime yourself.

What Mobius commits to

Three things every unattended agent needs.

01

Survives the night.

Durable runs, isolated environments, an inspectable event stream. State persists at every step boundary; intermittent failures retry on backoff; waits suspend instead of burning hold-open resources.

Durable · isolated · inspectable
02

Knows when to ask a human.

request_information, request_approval, and request_review are peer step types, not Slack-button glue. The run suspends, the right person responds, the run resumes with the response in scope.

HITL as a step type
03

Runs where your code and data live.

Workers open an outbound connection to Mobius Cloud and execute tool calls, action steps, and customer-managed model calls on your hardware. Your firewall stays as it is. Bring your own model.

Workers · BYO model
What task do you keep doing over and over?

Imagine an agent that…

Each of these is the same shape in Mobius: a trigger, an agent with tools, the waits and reviews it needs, and a run you can replay.

  • An agent watching every new pull request, enriching the description, flagging risk, drafting the test plan.

  • An agent that wakes up every morning and prepares the day's open issues, deploys, and inbox before you sit down.

  • An agent on every support ticket, pulling customer context, drafting a reply, asking for approval before it sends.

  • An agent on call, pulling logs when something pages, only waking you when judgment is actually needed.

  • An agent inside your product that runs your customer's overnight job and reports back in the morning.

How it works

Same four pieces, every run.

Whether it fires at 3am, watches your inbox, or ships inside your product, every Mobius automation is built from these four primitives.

01Trigger
Schedules, integration events (Slack mentions, GitHub pull requests, Linear issues, inbound email), webhooks, API calls, or another agent. Filters in plain language; concurrency policy and a cost ceiling declared per schedule.
02Agent
A named operator with instructions, a default model, and integration toolkits (GitHub, Slack, Linear, Notion, your MCP servers). Calls tools, writes durable memory, optionally runs in a workspace.
03Ask a human
request_information, request_approval, request_review as peer step types. The run suspends; the right person responds; the run resumes with the response in scope.
04Environment
Mobius-managed sandboxes per run by default. No infra to operate. Self-host a worker on your own hardware when private code, sensitive data, or self-hosted LLM calls (e.g. Ollama) need to stay in your network. Your choice, not your obligation.
Cost ceiling

Visible before the bill arrives.

Declare a ceiling per schedule, per agent, per project, per day. It appears in the event stream the moment a run starts, not when an invoice lands.

ceiling checkpoint
schedule$1.20 of $5.00
agent$18.40 of $50.00
project/day$214 of $400

The ceiling travels with the run, visible in the same event stream as the trigger, tool call, approval, and artifact.

Plan

The Five-Step First Run

From a founder-led intake to your first overnight run.

  1. 1

    Request access.

    Founder-led intake. One human reply.

  2. 2

    Define your first agent.

    Name it, give it a role, a default model, and a few tools.

  3. 3

    Wire one trigger.

    A schedule, a webhook, or an integration event. Whatever fires the work.

  4. 4

    Add the human gate.

    Pick the moment you'd want to be asked: request_approval, request_review, or request_information as a peer step type.

  5. 5

    Run it overnight; read the event stream in the morning.

    Step starts, tool calls, action results, the interaction, the artifact, all in the timeline before you make coffee.

You're the engineer your team trusts with the AI layer. Mobius is the runtime your scheduled agents grew out of: identity, memory, durable state, human review, and workers that run where your code lives. You become the agent-ops engineer, not the on-call bottleneck.

Curtis Myzie, DeepNoodle

Early accessFounder-led intake. One human reply.Built forAI-native engineers already running agents.

Run your first always-on agent.

Mobius is in early access. Tell us what you'd put on a schedule, an event, or inside your product.