Reliable agent execution you don't have to think about.
The runtime layer that makes evaluation reproducible, training consistent, deployment safe, and monitoring trustworthy.
Every run is reproducible. Every action is policy-checked.
Four runtime properties that make everything else possible — evaluation, training, deployment, and monitoring all depend on deterministic, policy-aware, versioned, and isolated execution.
Same agent, same environment, same result. Reproducible runs for evaluation, training, and auditing.
Every agent action checked against typed policies. Safety constraints, cost limits, and compliance rules enforced at runtime.
Every configuration change, every evaluation result, every promotion decision — versioned and traceable.
Agents run in isolated environments with controlled access to data, tools, and services. No cross-contamination.
Evaluation, training, deployment, and monitoring all start here.
Evaluate needs reproducibility. Training needs consistency. Deployment needs safety. Monitoring needs trust. The Agent OS provides all four.
Deterministic resolution ensures identical evaluation conditions across runs. Scores are comparable because the environment is reproducible.
Isolated workspaces per training iteration. Each candidate agent runs in a clean environment. No leakage between variants.
Versioned snapshots for every promoted configuration. Rollback to any previous version instantly. Full deployment audit trail.
Policy enforcement at runtime. Cost limits, safety constraints, and compliance rules checked on every agent action — not just at evaluation time.
Xplore fits between your models and your orchestration layer.
The Agent OS resolves agent configuration from typed business entities and enforces policy on every operation. Your existing stack stays.