Deterministic Multi-Agent Parallelism
Thousands of agents execute in lockstep over distributed consensus protocols. Identical inputs always produce identical outcomes, so every run can be replayed and audited.
Deploy resilient, autonomous agent fleets capable of executing end-to-end distributed system architecture, real-time code synthesis, and multi-tenant operational self-healing.
Every layer of AgentFlow Lab is built in-house, from the scheduler to the state store, so fleets behave predictably at any scale.
Thousands of agents execute in lockstep over distributed consensus protocols. Identical inputs always produce identical outcomes, so every run can be replayed and audited.
Every tool call runs inside an isolated runtime with sub-millisecond cold starts. Untrusted code never touches your host, network, or neighbouring tenants.
Decentralized state vector storage lets agents recall context, detect drift, and repair failed services before a page ever fires.
Real-time telemetry with enforced safety bounds. Set a latency or spend budget and the engine throttles, reroutes, or halts agents to stay inside it.
Security is a property of the fabric, not a feature bolted on top.
Independently audited controls for security, availability, and confidentiality.
Run the full fabric inside your own isolated network with no outbound dependency.
Observe fleet health without AgentFlow Lab ever seeing your payloads.
Sandbox access is provisioned within one business day.