Multi-Agent Automation Platform

Orchestrate fleets of AI agents across asynchronous execution graphs. Otogent's multi-agent infrastructure manages workflow DAGs, parallel agent coordination, and per-agent token budgets — so you can ship production-grade automation without managing the runtime yourself.

Asynchronous Execution Graphs

Traditional automation tools execute agents sequentially. Otogent models agent pipelines as directed acyclic graphs (DAGs), allowing any branch of your workflow to execute in parallel the moment its upstream dependencies resolve. This cuts wall-clock time dramatically for complex multi-step automations and ensures your infrastructure scales linearly with parallelism.

Per-Agent Token Management

Each agent in a workflow runs with an isolated token context. Otogent tracks cumulative token consumption per agent per execution, enforces configurable budget ceilings, and emits real-time telemetry — preventing runaway cost spikes before they hit your billing dashboard. Token allocation is inherited from the workflow definition and can be overridden at the node level.

Workflow DAG Architecture

Every Otogent workflow is stored as an immutable DAG snapshot. Conditional branches, fan-out merges, and human-in-the-loop approval gates are all first-class graph primitives. The runtime evaluates topological order at execution time, meaning you can dynamically re-route execution without rebuilding the entire workflow from scratch.

Feature / ArchitectureOtogentTraditional Automation Tools
Asynchronous Agent Execution-
DAG-based Workflow Graphs-
Per-agent Token ManagementManual only
Parallel Agent CoordinationNativeLimited
Runtime State Persistence-
Model-Agnostic Routing-

Explore Platform Infrastructure

Deploy Your First Multi-Agent Workflow

Connect your models, define your agent graph, and execute — Otogent handles the orchestration runtime so your team ships faster.