Inngest

Inngest is a platform that provides durable functions to replace queues, state management, and scheduling, enabling developers to build reliable, AI-ready step functions faster without managing infrastructure.

Key Features:

• Durable Execution: Write code that automatically retries on error, runs in parallel, sleeps, or waits for input.
• Flow Control: Configure how and when functions run with throttling, concurrency controls, prioritization, and more.
• Local Development: Open-source Dev Server for local testing and debugging.

Use Cases:

• AI + AI Agents
• Durable Workflows
• Background Jobs

Benefits:

• Reliable, fault-tolerant code
• Simplified development with simple APIs
• Complete control over function execution

• Orchestrates complex AI workflows using AgentKit.
• Manages dependencies, retries, and failures in AI agent systems.
• Debugs agentic workflows locally with Inngest's Dev Server.
• Integrates external tools and models into AI workflows.
• Proxies long-running LLM requests using `step.ai.infer` to reduce serverless compute costs.
• Wraps AI SDKs with `step.ai.wrap` for reliable execution and visibility.
• Automates tasks using AI-powered workflows.
• Manages AI capacity using flow control techniques (throttling, concurrency, debouncing, prioritization).
• Chains prompts for content generation.