Collect, Store, Analyze, and Act
Your factory ran all night. Do you know what it did?
A software factory is what most teams build once coding agents work: 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.
How factories fail
Quietly. 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.
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 OpenClaw and Hermes agents on remote hosts. Then it reads all of it.
- Evidence. The sessions and the scheduled jobs, with what each one actually did, not what it logged.
- 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.
- Recommendations. Free the disk, reconnect the tool, schedule the job, write the skill. Root causes, not symptoms. Your agent applies them.
- 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.
What's next: every agent you run
Coding agents are where the tokens are today. OpenClaw and Hermes agents are collected now. Production agents on LangChain, LangGraph, and other frameworks, the ones talking to your customers and to each other, are next. If you run them, talk to an engineer. Those conversations are shaping the roadmap.