Persistent conversations
Open previous Personal conversations and continue where you left off rather than treating every prompt as a disposable one-shot.
DragonZpyder is becoming the personal frontend for a governed agent runtime — one place to think, retrieve connected information, draft work and take approved actions without binding your identity to a single model.
The Personal AI surface signs into the existing Operly account system, establishes Personal-only authority, preserves conversations, shows pending approvals and sends tasks through Operly’s governed runtime instead of calling a model endpoint directly.
Open previous Personal conversations and continue where you left off rather than treating every prompt as a disposable one-shot.
DragonZpyder can use the Personal capabilities Operly makes available instead of permanently exposing every possible tool to every model call.
High-risk actions stop at an explicit review boundary. The frontend shows the exact proposed action before you approve or reject it.
The web client intentionally switches into Personal scope. It does not let model text or the frontend silently select a business Workspace.
The frontend generates a stable request identity and automatically adopts Operly’s retry-safe client adapter as soon as that backend stack is deployed.
If an external mutation becomes ambiguous, the interface is designed to surface that uncertainty rather than encouraging a blind duplicate action.
That separation lets the product become more capable without putting credentials, provider logic or Workspace authority into a thin public frontend.
The Personal AI experience: conversations, continuity, personal capabilities, approvals and eventually durable memory across models and devices.
The governed AI workspace and execution platform for organizations: workspaces, business context, integrations, tools, agent runtimes and software operations.
The first web version is intentionally narrow: Personal authentication, conversations, governed task execution and approvals. The deeper memory and durable-task layers can grow behind the same interface.