Decentralized AI execution, documented as a complete system.
Tenzarch connects AI workload demand with distributed execution infrastructure through durable execution state, orchestration, routing, observability, and result delivery.
The visible product is an entry point into a larger execution network.
AI Agents and AI Executions create workload demand. Behind them, Tenzarch maintains request intake, execution identity, Workflow orchestration, lifecycle state, routing, node assignment, distributed processing, operational visibility, result delivery, usage accounting, developer access, and infrastructure participation.
Explore Tenzarch by system responsibility.
Execution Network
Architecture, lifecycle, records, routing, assignment, results, logs, telemetry, and execution history.
Open documentation →AI Workloads
AI Agents and AI Executions as workload sources—not the boundary of the network.
Open documentation →Execution Infrastructure
Distributed capacity, node state, eligibility, assignment, and Free Execution Node participation.
Open documentation →Developer Platform
Authentication, scoped API Keys, idempotent submission, Jobs, logs, telemetry, and production integration.
Open documentation →API Reference
The current HTTP route surface, with existing backend route names preserved.
Open documentation →Node Rewards
A separate participation program for qualifying node activity and Node Points.
Open documentation →