HypAware

Collect, Store, Analyze, and Act

Your factory ran all night. Do you know what it did?

Once coding agents work, a lot of teams build a software factory: engineers drive pipelines of agents through prompts and GitHub issues, and the agents do the work unattended. That is where the bulk of the tokens go, overnight, with nobody watching. By morning there is a result. Whether it took three attempts or thirty, and whether the scheduled jobs around it did what they claim, nobody knows.

An example of what a pass hands back: each finding, the sessions behind it, the fix, and whether it held.

01How factories fail

How factories fail

An interactive session fails in front of you. A factory fails in a log nobody opens.

Did the nightly job run, or just report that it did?
A scheduled job can fail every time for weeks and still show green. Nothing looks wrong until someone reads the transcript.
Which agent is spending the budget?
Subagents inherit whatever model the parent was running. Usually the expensive one, and nobody chose it.
Is it doing the same work twice?
A multi-day session re-reads its own history every morning. A method gets rebuilt from memory because the skill was proposed three times and never written.

02The loop

Evidence from the jobs nobody watches

HypAware records the unattended runs alongside the interactive ones: the orchestrator, the subagents it spawned, the scheduled jobs, and the software factory built on Claude Code and Codex.

  1. Evidence. The sessions and the scheduled jobs, with what each one actually did, not what it logged.
  2. Findings. The job that says it succeeded and did nothing. The cron that died and stayed dead. The connector that has failed every call since it was set up.
  3. Recommendations. Free the disk, reconnect the tool, schedule the job, write the skill. Your agent applies them.
  4. Verify it stays fixed. The next pass checks whether the job is still failing. Regressions in unattended work get caught by the loop, because nobody else is looking.

03What's next

Running agents that nobody prompts?

Agents on OpenClaw, Hermes, or your own harness, the ones that run on a schedule and talk to customers and to each other, have their own page.

You already have the data. Using it is the problem.

npm i -g hypaware
hyp setup
or Talk to an engineer

Get started today in 5 minutes for free. Keep your logs local or store them on HypAware Cloud.