What it is
Portarium is the governance layer I am building for AI agent workflows. It sits between an agent’s outputs and the real-world actions those outputs could trigger — checking, transforming, escalating, and logging before anything actually happens.
The problem it is meant to solve: most AI agents fail not because the model is wrong, but because nothing catches the model when it’s wrong. No output validation, no human escalation path, no audit trail. Portarium is the reliability layer I am working toward so those failures become visible before they become incidents.
Current state
Portarium is still prototype-stage work. What is public today is the control-plane direction: validation boundaries, approval checkpoints, and policy-driven operator controls. It is not presented here as a finished runtime or broadly proven production system.
How it works
The intended workflow shape is:
- Schema check — output matches the expected shape (Zod-based)
- Policy check — output satisfies operator-defined rules (e.g. “never delete more than 5 records”, “always require approval for >$500 actions”)
- Approval gate — high-stakes actions pause for human review before proceeding
- Audit log — inputs, outputs, decisions, and timestamps written to a trace
Why it matters
The common failure pattern is not “the model made one bad call.” It is that the surrounding workflow has no validation, no escalation path, and no usable trace of what happened. Portarium is the layer I am building to make failures visible, catchable, and reversible before they become incidents.
Relationship to OpenClaw
Portarium is the governance layer. OpenClaw is the agent runtime. The goal is for Portarium to validate what OpenClaw proposes before it reaches production systems.