Know what your
agents are doing.
Control it.
AgentWatch gives enterprise teams full visibility into AI agent behavior — trace every decision, control spend, enforce compliance, and catch problems before they become incidents.
Trace every step of every agent run
Most teams deploying AI agents have zero visibility into what's happening inside the black box. AgentWatch instruments your agents from day one and gives you full execution context — every LLM call, every tool invocation, every decision, every byte of context retrieved.
- Full session replay with time-travel debugging
- Recursive loop detection and token burn prevention
- Automatic PII redaction in logs
- OpenTelemetry-native, works with any framework
Audit trails your legal team will actually love
The EU AI Act, SOC 2, HIPAA, and a dozen other frameworks require you to prove what your agents did, why, and when. AgentWatch builds that proof automatically — every decision logged, every data access recorded, every anomaly flagged.
- Timestamped decision logs with full context
- Data lineage tracking across agent chains
- Policy enforcement before actions execute
- Exportable audit reports for regulators
Stop agent spend from becoming a surprise bill
AI agents consume tokens unpredictably. One recursive loop, one verbose prompt, one runaway generation — and your monthly API bill doubles. AgentWatch tracks every token, flags anomalous patterns, and lets you set hard cost ceilings per agent or per session.
- Per-agent, per-model, per-session cost tracking
- Anomaly alerts before thresholds are breached
- Automated spend caps and circuit breakers
- Budget attribution by team, product, or customer
Every company deploying AI agents needs
the same thing: a control layer.
That's AgentWatch.
Self-hosted. Framework-agnostic. Compliance-ready.
Built for the teams putting agents into production.