About
What is Inngest?
Inngest is an event-driven durable execution platform designed for developers to build robust and scalable applications. It supports writing functions in TypeScript, Python, and Go for background and scheduled jobs, handling backend infrastructure, queueing, scaling, concurrency, and observability. A standout feature is its AI-personalized documentation, which generates code examples using OpenAI based on user prompts, making it easier to learn and implement the Inngest SDK. The platform also offers tools for building AI agents, durable workflows, and managing complex event coordination, ensuring reliability with features like retries and parallel execution.
Best used for
Ideal for developers who need to build reliable, event-driven applications, manage background jobs, and develop AI agents. Especially valuable for those requiring durable execution, parallel processing, and personalized code examples to accelerate development.
Common actions
asynchronousOpenAITypeScriptlow-code/no-codeworkflowsfunctionsinngesttext summarizationcode assistant["Event-Driven"
Capabilities
Key features
- Durable function execution
- AI-personalized code examples
- Parallel task execution
- Flow control management
- Event-driven triggers
- Built-in observability
- AI agent development
Target Audience
developerstartup founder
Integrations
openaivercelnetlifycloudflare
Pricing & Plans
Freemium · Paid · Enterprise · Usage-based · Starting at USD 0.00
$0 (Basic), $75/mo (Pro), Contact us (Enterprise)
FAQs
What is the difference between Inngest's Hobby and Pro plans?
The Hobby plan is free and includes 50,000 executions and 5 concurrent steps. The Pro plan starts at $75/month, offering 1 million executions, 100+ concurrent steps, and enhanced features like granular metrics and longer trace retention.
How does Inngest's AI-personalized documentation work?
The AI-personalized documentation uses OpenAI to generate code examples based on your prompts. You can describe a function you want to create, and Inngest will provide a relevant code snippet to help you get started with the SDK.
Can Inngest handle parallel processing for tasks like LLM summarization?
Yes, Inngest is designed for parallel execution. For tasks like LLM summarization, it can split text into chunks, summarize them in parallel using OpenAI, and then combine the summaries, ensuring efficiency and reliability.
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