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.