Floom orchestrates generative AI pipelines for developers and operations teams.
FreeOpen source
24 alternativesInferable
Inferable builds AI workflows and agents with human review, structured outputs, and durable execution.
About Inferable
Inferable is an open source repository for building AI workflows and agents. Its described job is to run LLM-based workflows as a managed durable execution runtime, with human review steps and structured outputs. The source describes the runtime as creating structured outputs from any LLM and long-running, versioned workflows.
According to the source, workflows execute in the user's own infrastructure, including behind firewalls or private VPCs, and connect through long polling so no inbound ports need to be opened. Human approval can be requested through Slack or Email. The source also lists agents that use tools, notifications, memoized results, and observability through a timeline view. Official SDKs are listed for Node.js and Go, with a .NET SDK marked experimental and a command-line tool marked alpha. Pricing is not stated in the source.
Key features
- Human approval steps sent via Slack or Email, with context preserved
- Structured outputs with automatic parsing, validation, and retries
- Versioned workflows with version affinity for executing workflows
- Workflows that run in the user's own infrastructure, including behind firewalls
- Long polling connection that requires no inbound ports to be opened
- Memoized results for caching side-effects and expensive operations
Best for: Development teams building AI workflows that need human approval steps and must run inside their own infrastructure.
Good for
- Open source, and the source states it can be self-hosted
- No deployment step is required and no inbound ports need to be opened
- Versioning supports gradual rollout of changed workflow logic or input schemas
Watch out for
- The command-line interface is marked alpha
- The .NET SDK is marked experimental
- Only Node.js and Go SDKs are listed, with more languages described as coming soon
Inferable at a glance
- Category
- AI & Machine Learning › AI Workflow Automation
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Inferable alternatives
Tools and sites you could use instead, ranked by how closely they match.
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Lobster is a local-first workflow shell that turns skills and tools into composable pipelines and automations.
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Evaligo builds AI workflows, compares models, scores outputs, trains model routers, and deploys flows as APIs.
Agentic Signal provides a visual platform for building AI workflows with local language models.
BuildShip lets teams visually create AI and backend workflows, build tools for agents, and publish APIs with code access.
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Inferable FAQ
Does Inferable require opening inbound ports to connect to my infrastructure?
No. The source states that workflows connect through long polling, so there is no need to open any inbound ports.
Which programming languages have SDKs?
The source lists Node.js/TypeScript and Go as supported, with a .NET SDK marked experimental and more languages described as coming soon.
Can Inferable be self-hosted?
The source states that Inferable is open source and can be self-hosted on your own infrastructure. It also says self-hosting gives full control over data and models, though it does not guarantee any particular security or privacy outcome.
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