Open-source AgentOps control plane for governing, evaluating, operating, and auditing enterprise AI agents.
Static public pages and simulators ready for GitHub Pages.
Backend API endpoint groups across evaluation, governance, registry, policy, runtime, observability, sandbox, and procurement.
Stable MVP boundary: deterministic, sandbox-first, provider-neutral, local-run friendly.
Pass: Public narrative, backend tests, smoke tests, static site, procurement demo, sandbox-first connector design.
Known limitations: local JSON persistence, no RBAC, mock providers, sandbox connectors only.
Landing → Governance → Policy → Runtime → Observability → Procurement
v1.1 should focus on RBAC, workspace/tenant model, actor identity, approval workflow, and Docker packaging.