Memory and State
for AI Agents
The memory and state layer for enterprise AI workflows. Contract-governed execution, policy enforcement, and audit trails — built for teams that ship AI to production.
Playground is the demo.
Dx3 is what I run NXTG.ai on.
NextGen.OS Playground
- Guided sandbox
- Interactive demo
- Simulated traces
- Open access
Free · Interactive · < 90 seconds to wow
Dx3
- Production runtime
- Governed execution fabric
- Real audit trails
- RBAC-gated
Contract-governed · Auditable · Dogfood
See the API in Action
Contracts, policies, and audit trails — all through a clean API.
What runs in production today
Every capability below runs inside NXTG.ai today, on my own work. None of it is offered outside NXTG.ai yet.
Contract Registries
Define input/output schemas, SLA targets, and retry policies for every AI workflow. Contracts are version-controlled and enforceable.
Policy Enforcement
Allowlists, denylists, and risk-level gating for every agent action. No command runs without passing your governance rules.
Audit Trails
Every workflow execution, every agent decision, every policy evaluation — timestamped, immutable, and queryable.
RBAC & Access Control
Role-based permissions for teams. Operators, auditors, and admins see different views and have different capabilities.
Trace Visualization
Follow execution paths through your AI workflows. See exactly where decisions were made, what data was used, and how long each step took.
Real-Time Metrics
Live KPIs: workflow success rates, agent uptime, contract compliance, latency percentiles — all on a single dashboard.