# Trajeckt: a fail-closed gateway that enforces what AI agents can do (~1.6ms)

> Source: <https://traject.tamor.ai/>
> Published: 2026-06-12 13:39:49+00:00

# A single tool call is

rarely the problemThe sequence is.

Every agent guardrail today inspects actions one at a time — so the failures that only exist across steps walk right through. Trajeckt enforces commitments across the whole trajectory, at runtime, below the model, before any irreversible action fires.

## Learn how your agents think

Trajeckt turns executions into a structured evidence layer: live feeds, policy state, replay history, and the learning signals that shape better runs.

Flip it. The plan doesn't change. The outcome does.

Go ahead. It's a replay.

The injected step was off the declared plan, so it was blocked before it fired: the same tool, allowed in plan and stopped out of it.

1.7msScripted from benchmark run-20260604-152135

## One Enforcement Layer.

Everything else Follows.

Trajeckt turns executions into a structured evidence layer: live feeds, policy state, replay history, and the learning signals that shape better runs.

## Integration.

A gateway, not a library: if your stack speaks MCP or OpenAI-compatible tool calls, enforcement is one config change.

Any MCP client. The highlighted line is the server URL — the only change.

## Turn every trajectory into operating intelligence.

Start with a control surface built for agent observability, governance, and investigation. Trajeckt makes it easier to see what happened, enforce what should happen, and improve what happens next.