Show HN: Klimkit: my Codex setup for multiple machines
Klimkit is a tool designed to maintain reproducible environments across multiple machines. It allows users to manage configurations, services, and tasks through a single repository, ensuring consistency and control during long-running processes. The latest release focuses on streamlining the user experience and improving the management of artifacts generated during agent runs.
- ▪Klimkit keeps an agent-ready machine reproducible by managing local instructions and settings in a single repository.
- ▪The tool is particularly useful for long-running tasks, providing inspectable artifacts after the model stops.
- ▪The current release, v0.1.10, optimizes the public repository by removing internal marketing artifacts and focusing on user needs.
Opening excerpt (first ~120 words) tap to expand
Klimkit Klimkit keeps an agent-ready machine reproducible. One repo owns the local instructions, harness packs, services, dashboards, and machine-specific settings needed to make a fresh VM behave like Klim's working environment. You edit the repo, preview exactly what will change, apply it locally, and use normal Git flow to carry the same operator setup to another machine. Klimkit is most useful when an agent run is long enough that you cannot keep it all in your head. The proof has to live in the repo: task notes, checks, diffs, screenshots, reports, reflections, and final review.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.