This site is wired to a live Hermes agent on a remote VPS. When a user flags an unmet need, an agentic loop kicks off: evaluation, research, implementation — then a QA agent validates the new capability and non-regression of all existing ones inside a temporary Docker container simulating a DGX Spark. The PR is only opened if every test passes. The only human-in-the-loop moment: the admin hitting Merge.
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Turns the raw need into a structured spec: slug, category, success criteria.
Rates the request on 3 axes (novelty, feasibility, value). Score ≥ 9/15 → approved. Below → rejected and archived.
Finds the best open-source tool available (Docker-ready, permissive license, MCP adapter).
Writes an idempotent setup-<slug>.sh bash script, testable with DRY_RUN=1, ready for DGX Spark.
Runs all existing capabilities + the new one inside a Docker container simulating the DGX Spark. DRY_RUN then live run. Non-regression is mandatory.
Creates a Git branch, commits the script, and opens a Pull Request for human review.
Autonomous pipeline powered by Hermes Agent · single human touchpoint: GitHub PR review