Inferable
Build production-ready AI agents with durable workflows
Target Audience
- Software developers
- DevOps engineers
- Product teams building AI features
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Overview
Inferable helps developers integrate AI reasoning into existing systems using their current codebase. It lets teams create reliable automations by combining probabilistic AI actions with deterministic workflows. The open-source platform is designed for engineering teams who need to ship AI-powered features without adopting new frameworks.
Key Features
Durable Workflows
Combine AI actions with deterministic code for reliable processes
Code-First Primitives
Create tools/agents using existing functions and APIs
On-Premise Execution
Run agents on your infrastructure without inbound connections
Observability
Automatic monitoring of AI workflows and function calls
Language SDKs
Node.js, Go, and .NET support with more coming
Use Cases
Automate customer support workflows
Process complex refunds autonomously
Integrate AI with existing systems
Orchestrate multi-step business processes
Pros & Cons
Pros
- Open-source and completely self-hostable
- Works with existing codebase/frameworks
- Enterprise-grade durability for AI workflows
- Bring Your Own Model (BYOM) flexibility
Cons
- Primarily developer-focused (steep learning curve for non-coders)
- Limited language support beyond core SDKs (NodeJS/Go/.NET)
Frequently Asked Questions
Where does my data reside?
All data remains in your infrastructure - tools run on your servers and SDK uses long-polling without requiring inbound connections.
Can I use my own AI models?
Yes, Inferable supports bringing your own models (BYOM) in both managed and self-hosted environments.
Is self-hosting supported?
Yes, the platform is fully open-source with a self-hosting guide available in documentation.
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