Inngest

Inngest is a workflow orchestration platform that runs stateful step functions and AI agent workflows on serverless infrastructure or edge environments.

Inngest provides a platform for building durable workflows and agents that automatically retry failed work from the exact step where a failure occurred. Developers write functions in TypeScript, Python, or Go within their existing codebase, and the platform handles orchestration, retries, waits, and events. It offers isolated microVM sandboxes for code execution, allowing agents to run tools securely. The system integrates observability tools to inspect traces, replay runs, and track production metrics. It enables A/B testing and outcome scoring for AI agents by linking user feedback to specific experiment variants.

Inngest at a glance

Best for: Software engineer
Runs on: API, CLI
Pricing: Freemium
Released: June 2021
Category: AI coding tool
Website: inngest.com

Key features

Durable step execution with automatic retries
Isolated microVM sandboxes for secure code execution
Real-time progress streaming for end users
Flow control for concurrency and throughput management
Agent evaluation tools for comparing prompts and models
Native support for TypeScript, Python, and Go
Production observability with trace inspection and replay

Use it for

Running AI agent loops that interact with tools
Executing multi-step background jobs
Testing and running generated code in isolation
Conducting A/B tests on prompts and workflows

Alternatives to Inngest

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Genkit — Provides unified APIs and local developer tools for AI application workflows.
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VoltAgent — Offers open-source flexibility with built-in supervisor agent orchestration and RAG.
Stoneforge — Runs isolated git worktrees and automated merges to prevent conflicts.

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