Inferable

What is Inferable?

Inferable is a managed developer platform for building reliable LLM-powered workflows and agents. You define each workflow in code, in TypeScript or Go, and register it with Inferable's control plane, which tracks every execution and retries a failed or stalled run on another machine. The workflow itself keeps running on your own compute, and the SDK connects out by long polling, so you don't have to open inbound ports or allowlist IP addresses. Workflows are versioned, which means a run that has already started finishes on the version it began with. A context object gives each workflow helpers for structured LLM output, agents, memoized steps and logging, and a developer console lets you watch and debug executions. The SDKs are open source under the MIT license, and you can bring your own models. Inferable pricing starts with a free tier, followed by a pay-as-you-go plan at $10 per month and custom Enterprise deployments.

Use cases

• Build durable AI workflows in code
• Extract structured data from web pages with an LLM
• Run long-lived agent workflows
• Keep agent code inside a private network
• Retry failed LLM workflow runs automatically
• Trigger workflows from any service via API

Who it's for

• Backend developers
• AI engineers
• Platform teams
• Startups building agents

Why use Inferable

• Workflow state and retries are handled by the control plane, so a machine failure does not lose a run.
• Code executes on infrastructure you control, which helps teams with private networks or strict security reviews.
• Schema-checked LLM output cuts down on custom parsing code in your workflows.
• Usage-based pricing lets a small project begin on the free tier and pay only as executions grow.

Inferable features

• Workflow-as-code definitions in TypeScript or Go
• Durable execution with automatic retries on another machine
• Version affinity so running executions finish on their original version
• Structured LLM output validated against a schema
• Execution ID used as an idempotency key
• Memoized intermediate results and workflow logging
• Long-polling connection with zero inbound ports
• Developer console to observe and debug executions
• Bring-your-own-model support through the SDKs
• Open-source, MIT-licensed SDKs

Inferable integrations

• Slack

How to get started with Inferable

1. Sign up for a free API key and clone the Node starter project.
2. Paste your API key into the client setup and define a workflow with an input schema.
3. Add steps such as fetching a page and asking the LLM for structured output.
4. Run the workflow file, which registers it with the Inferable control plane.
5. Trigger it with an API call that carries an execution ID, then view the result in the Inferable app.

Inferable limitations

• Workflows must be written in code, with SDKs for TypeScript and Go
• Free tier includes 2 registered workflows and 1000 executions
• SOC 1 and SOC 2 certifications are listed as coming soon

Inferable pricing

Yes, Inferable has a free plan. Paid plans start at $10 per month, according to the official pricing page on 24 Oct 2026.

Inferable plans

• Free Tier

  $0

  Free forever

  • 2 Registered Workflows
  • 1000 workflow executions
  • BYO models
  • Max concurrency of 2

• Pay as you go

  $10/month

  • 20 Registered Workflows
  • 5000 workflow executions included
  • Additional executions at $1 per 1000
  • Max concurrency of 10
  • Higher rate limits
  • Priority email support

• Enterprise

  Custom

  • Custom deployments on AWS, GCP, Azure
  • Full data isolation
  • Dedicated Slack support
  • Custom SLAs

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Inferable alternatives

The main Inferable alternatives listed on Debuly are Trigger.dev, Inngest, LangGraph, Pydantic AI, Windmill and Hyperbrowser. The table compares pricing and platforms; order is A–Z.

1. 

   Hyperbrowser

   Cloud infrastructure that gives AI agents hosted Chrome sessions, isolated sandboxes, and web fetch, crawl and search APIs.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Hyperbrowser (official site)
2. 

   Inngest

   Open-source SDK and cloud for durable background jobs, event-driven workflows and AI agents without queue infrastructure.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Inngest (official site)
3. 

   LangGraph

   Low-level open-source orchestration framework and runtime for building stateful, long-running AI agents as graphs.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit LangGraph (official site)
4. 

   Pydantic AI

   A type-safe, model-agnostic Python framework for building agents and LLM applications, from the team behind Pydantic.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit Pydantic AI (official site)
5. 

   Trigger.dev

   Open-source platform for durable AI agents and background workflows in TypeScript, with no timeouts, retries, queues and realtime.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Trigger.dev (official site)
6. 

   Windmill

   Open-source, self-hostable platform for building internal tools, workflows and data pipelines as code.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Windmill (official site)

Inferable FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

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