Inngest

Inngest is a developer platform that makes backend workflows and AI agents durable by default. It provides a framework for building multi-step processes that automatically handle failures, retries, and recovery without requiring developers to build complex infrastructure. The core concept revolves around wrapping functions in 'steps' that act as code-level transactions - they retry automatically on failure and only run once on success, ensuring your workflows are reliable even when individual components fail.

What sets Inngest apart is its infrastructure-agnostic approach and developer experience. You can run workflows anywhere - on edge functions, serverless platforms, or traditional servers - and trigger them from various sources like API calls, webhooks, or schedules. The platform automatically manages function state across steps, provides real-time observability with detailed traces (including AI prompt/response pairs), and offers flow control features like concurrency limits and prioritization. The local development experience is streamlined with a single-command setup that gives you instant debugging capabilities.

Inngest is particularly valuable for teams building AI applications that involve multi-step processes, such as transcription pipelines followed by summarization, or complex agent workflows that need reliable execution. Companies processing background jobs, handling user workflows, or building sophisticated AI agents benefit from the automatic error handling, observability tools, and scalability that Inngest provides out of the box, letting developers focus on business logic rather than infrastructure concerns.