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const agentLoop = task({ name: 'agentLoop' },async (userInput: string, context: object) => {const actions = await callLlm(userInput, context)// Spawn a parallel task run for each planned actionconst results = await Promise.all(actions.map((action) => execute(action)))// Combine results into a coherent responsereturn synthesize(userInput, results)})const execute = task({ name: 'execute' },(action: { name: string }) => {const handler = getHandler(action.name)return { action: action.name, result: handler(action) }})const synthesize = task({ name: 'synthesize' }, ...)
Turn functions into composable, async tasks
Define tasks and logic in code
Make any function an async task that runs in its own ephemeral container.
Retry failed steps automatically
Define retry logic declaratively to mitigate flaky steps and deliver more reliable experiences.
Checkpoint state (coming soon)
Make crashes inconsequential by resuming workflows right where they left off.
Scale without managing queues or workers
Sub-second start times
Render spins up new task workers in milliseconds to keep your experiences responsive.
Thousands of concurrent tasks
Run massively parallel workloads without managing worker pools or standing up queuing systems.
Powerful workers
Support compute-intensive tasks with high-spec machines and multi-hour run durations.
Every task. Every run. Full visibility.
See a unified history of active, queued, and completed task runs.
Analyze performance and reliability across time spans.
Inspect runs to optimize and debug.
“Render Workflows completely solved our scaling and simultaneous usage issues. They give us a reliable execution layer outside our core application for compute-heavy jobs. It’s been invaluable to have great visibility into runs and failures without building custom orchestration.”

Serverless pricing without serverless timeouts
Simple pricing based on the number of concurrent tasks you need to run and the compute you use, billed by the second. Zero per-task fees.
