Product

One runtime for the whole execution path.

AgentRuntime orchestrates AI agents, tools, deterministic rules, and human decisions as one observable, stateful process.

Discuss your architecture →View developer model

Execution architecture

The workflow remains coherent even when execution changes hands.

A process can move from an agent to an API, pause for a human decision, wait hours for an external event, and resume with the same state. AgentRuntime keeps those transitions inside one governed run.

AgentRuntime execution plane● Run active

API & webhooksProduct events, external systems, and inbound requests.

SchedulesRecurring and time-based operational work.

Human actionsApprovals, inputs, and exception resolution.

Agent requestsCalls from applications and interfaces.

enters one governed run

Workflow runtime

State • conditions • parallel groups • waits • retries • validation • context • execution rounds

routes each step

ModelsUse the right model for each task and policy.

Tools & MCPBusiness software, internal APIs, and first-party tools.

PeopleSpecific owners, roles, and teams.

Business systemsData, actions, and existing operating logic.

records every transition

Control and observability

Secrets • permissions • traces • timelines • audit • replay • dependency visibility

Core runtime capabilities

Production behavior is designed into the execution model.

Stateful execution

Carry context, outputs, and process state across steps, rounds, and long waits.

Conditional control

Branch with explicit business logic, validated model decisions, or combined policies.

Parallel work

Run independent tasks concurrently and coordinate their results before continuing.

Wait and resume

Pause for a person, webhook, scheduled time, or external condition without losing the run.

Validation and recovery

Enforce output schemas, retry safely, and route failures to a controlled recovery path.

Timeline and replay

Understand the sequence of actions, inputs, decisions, and state changes across a run.

Full autonomy spectrum

Start with control. Increase autonomy as the workflow earns it.

Human-led

AI prepares information or recommendations while a person controls each important action.

Assisted execution

Agents and tools complete routine steps while people handle approvals and exceptions.

Supervised autonomy

The workflow runs independently within explicit rules and escalates only when needed.

Autonomous operation

Trusted processes run end to end with continuous visibility and defined intervention points.

Product surfaces

Build, run, observe, and govern in the same system.

Each surface owns a distinct part of the production lifecycle while sharing the same workflow state, execution history, and control model.

01Build

Workflow Studio

Turn the execution path into something the whole team can inspect.

Model triggers, agent reasoning, deterministic branches, tool calls, waits, and human decisions before the workflow reaches production. The graph stays readable as the process grows.

What this surface covers

Design connected, stateful execution graphs
Mix agent, tool, rule, wait, and approval steps
Validate, publish, version, and debug in one surface

Workflow / customer onboardingDraft v12

Trigger selected

Starts from a typed CRM event and creates a durable run.

● Interactive mockupValidated • 6 steps • ready to publish

02Run

Runtime APIs

Run durable workflows behind any product or system.

Use a stable execution interface while AgentRuntime carries state, coordinates long-running work, and emits the events your application needs. Your product owns the experience without becoming the workflow engine.

What this surface covers

Start runs from APIs, webhooks, schedules, or events
Stream progress and structured results to your application
Signal, pause, resume, or cancel long-running work

Runtime / active runrun_84F2

Source selected

The product starts the run without owning its execution loop.

● Interactive mockupState persisted across every transition

03Operate

Command Center

Give operators one place to see and intervene.

Move from a queue of work to the exact timeline, decision, or failed step that needs attention. Operators can understand what happened and act without reconstructing context across logs and business systems.

What this surface covers

See running, waiting, completed, and failed work
Route approvals and exceptions to the correct owner
Inspect timelines, retry safely, and recover with context

Operations / intervention queue3 items need attention

Approval selected

The assigned owner receives the decision and its supporting context.

● Interactive mockupOwner, state, and full run history attached

04Govern

Control plane

Keep authority and auditability outside workflow code.

Centralize the controls that determine what a workflow can access, which actions require approval, and how execution is reviewed. Teams can evolve workflows without scattering credentials and policy logic through every implementation.

What this surface covers

Manage connectors, credentials, and environment boundaries
Apply role, tenant, and action-level access policies
Keep policy decisions and configuration changes auditable

Governance / productionPolicy checks

Connection selected

The workflow receives only the connector access it requires.

● Interactive mockup4 controls enforced before execution

Do not build the runtime around every new agent.

Build the agent on a runtime designed for production work.

Talk to the team →Developer overview