While building AI products, we kept running into the same problem: every team rebuilds state, retries, approvals, and recovery around its agent. Stevora handles that repeated work, so your team can focus on the product.
Stevora
Durable runtime
The work nobody should rebuild
The agent may be unique. Saving progress, retrying failures, waiting safely, and explaining what happened are not.
What you want to build
What production adds
Stevora handles thisSave every completed step, then retry only the part that failed.
What you get
Progress saved automatically
Pause for a person, a webhook, or a future time without keeping a server running.
What you get
Pause now, resume later
See the input, output, cost, status, and error for every step in one place.
What you get
A complete run history
Building the agent is getting easier. Making sure it finishes the job is still repeated from scratch by every team.
89%
of surveyed agent teams have implemented some form of observability.
LangChain · State of Agent Engineering 2026 ↗40%+
of agentic AI projects may be cancelled by 2027 as cost, value, and risk controls fall short.
Gartner · 2025 prediction ↗The simple split
Your team owns the product, logic, and customer experience. Stevora handles the plumbing that keeps the work moving when APIs fail, people take time, or servers restart.
Your application
Keeps its data, APIs, and business rules.
Your agent
Keeps its prompts, tools, and decision logic.
Stevora
Keeps the work running and records everything that happened.
Start the work once. Stevora carries it from the first event to the final action, even when it fails or waits for a person.
After a restart, continue from the last completed step instead of starting over.
Keep completed work intact and retry the failed step automatically.
Every model call, tool call, decision, approval, and cost stays in one history.
Bring your prompts, tools, APIs, and rules. Stevora handles the repeated production work around them.
Call models, save progress, and recover when something fails.
Call OpenAI, Anthropic, or Gemini through one API. Fall back to another model and log every call.
Save workflow state in PostgreSQL after every step. Resume after a restart.
Retry failed steps with backoff. Stop after a set limit and record the failure.
Know the cost, check the output, and put a person in the loop.
Track cost for each model call, workflow, and workspace.
Pause before a sensitive action. A person can approve, reject, or edit it.
Reject output that fails schema or safety checks. Retry with the validation error.
If the work calls AI, waits for a person or another system, or must survive a failure, Stevora can carry it through.
A customer asks for a refund. Stevora finds the order, checks the reason and policy, pauses for a manager when needed, then issues the refund.
6
Steps
1
Manager review
1
Customer event
Refund requested
Find order
Review reason
Within policy?
Manager review
Issue refund
When someone books an appointment, wait until the day before, send a reminder, and resume when they confirm.
Create a first draft, check it, let an editor approve or edit it, then publish.
When an order arrives, check stock, create the shipment, wait for courier pickup, and notify the customer.
Install the SDK, send the work and its input, then let Stevora carry it to completion.
Copy this prompt into Codex, Claude Code, or your coding agent. It will inspect your codebase and show the smallest useful integration.
Types for workflow inputs, runs, and results
Wait for a run with a configurable timeout
Error code, HTTP status, and details
Create the client and start a workflow
1import { AgentRuntime } from '@stevora/sdk'23const stevora = new AgentRuntime({4 apiKey: process.env.STEVORA_KEY,5 baseUrl: 'https://api.stevora.in'6})78// Start a workflow with input9const run = await stevora.workflows.create({10 definitionId: 'customer-refund',11 input: { orderId: 'ORDER-842' },12 idempotencyKey: 'refund-order-842'13})1415// Stevora runs each step and saves progress16const result = await stevora.workflows.waitForCompletion(17 run.id, { timeoutMs: 300_000 }18)1920// Read the recorded model cost21const { totalCostDollars } = await stevora.workflows.getCost(run.id)Put together what should run, what should wait, which path to take, and when a person should decide.
Run a configured task and update workflow state. Failed tasks can retry automatically.
{ "type": "task", "name": "find-order",
"handler": "findOrder",
"retry": { "maxAttempts": 3 } }We built Stevora after facing this problem ourselves. Your team should not have to build this layer again.
30-minute founder-led walkthrough