Agent Audit Trail gives you full visibility into what your AI agents did, why, and what they saw — before something goes wrong.
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What You Get
Agent Audit Trail isn't another observability dashboard. It's the accountability infrastructure your agents are missing.
Every agent decision captured with timestamp, inputs, outputs, and the full context window that informed it. No guesswork.
Exact state of everything the agent saw at decision time — memory, tool results, prior messages, external data. Full replay capability.
Trace the reasoning chain that led to each decision. Not just what the agent did, but what it considered and rejected along the way.
GDPR subject-access reports, EU AI Act Article 11 documentation, regulatory submissions — exportable in formats your compliance team actually needs.
How It Works
Integrate once. Get answers forever.
Two lines of code to add the Agent Audit Trail layer to your existing agent pipeline. Works with LangGraph, AutoGen, CrewAI, and custom frameworks.
Every decision, every tool call, every context fetch — captured automatically. No manual instrumentation required.
Search your audit trail by decision outcome, time range, or agent ID. Replay any decision in full context. Export for compliance.
The Problem
The teams most likely to need accountability infrastructure are the same teams that can't have black boxes.
Early Access
We're building in the open. Early access is limited — join the waitlist to get first access and shape the product.
No spam. No pitch decks. Just access when we're ready.
The gap is real. The timing is now. The tool doesn't exist yet — except we're building it.
Join the Waitlist