Armorer v0.1.19
We have been building Armorer as an experimental local control plane for AI agents.
Getting one agent demo working is usually not the hard part. The harder part is everything right after that: provider configuration drift, Docker or Colima state, partial installs, failed runs, and figuring out what actually changed between attempts.
So Armorer is not another agent framework. It is our attempt at a local ops layer for agents: install them, configure them, run them, supervise jobs, and recover when setup or runtime goes sideways.
What changed in v0.1.19
- supervised setup flows instead of silent magic
- live workstream visibility during install and runtime
- clearer local state around jobs, providers, and failures
- local management for NanoClaw and OpenClaw style workflows
Repo: https://github.com/ArmorerLabs/Armorer
It is still experimental, so we care a lot more about honest feedback from people already running local or self-hosted agent workflows than about pretending the product is finished.
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