Inngest is a platform for developing agent workflows and agents that power AI product from experiment to production. Inngest also provides durable functions and workflow orchestration for software development teams, allowing them to create background jobs, AI pipelines, and schedule tasks without having to manage the complexities of the underlying infrastructure. The company was founded in 2021 and is based in San Francisco. The target audience are developer teams creating reliable backend applications.
Inngest was founded by Tony Holdstock-Brown and Dan Farrelly to address developer frustration related to building reliably functioning background workflows.
Inngest announced a strategic partnership with Vercel to allow users to deploy the fastest possible background functions.
Raised $3 million in seed funding led by Notable Capital (formerly GGV Capital).
Launched a platform providing durable serverless functions and workflow orchestration.
Raised $6.1 million in Series A funding from Andreessen Horowitz, which brings the total amount of funding raised to date to $9.1 million.
Released self-hosting options for regulated industries.
Cloud service with self-hosting option (SQLite/Redis/Postgres)
Durable orchestration for AI workflows including LLM pipelines, GPU cost management, mixture-of-models coordination, and agentic systems
Based on official documentation, Sacra analysis, and CB Insights product description
| Service | Cost | Details | Source |
|---|---|---|---|
| Hobby | $0/mo | 50k executions/mo included, 100k events/mo, unlimited branch/staging envs, logs/traces/observability, community support | — |
| Pro | $75/mo starting | 1M executions/mo included, granular metrics, increased scale/throughput, higher usage limits, 7-day trace retention, priority support | Official pricing page |
| Enterprise | Contact us | Custom terms, SAML/SSO, RBAC, audit trails, dedicated Slack support, 90-day trace retention, exportable observability, SLAs, HIPAA BAA | — |
| Feature | Inngest | Kestra | Temporal | AgentX |
|---|---|---|---|---|
| Durable Functions | Yes | Yes | Yes | Partial |
| Event-Driven Triggers | Yes | Yes | Yes | No |
| Multi-Language SDKs | Yes (TS/Python/Go) | Java-focused | Go/Java | No |
| AI Orchestration | AgentKit | No | No | Yes |
| Self-Hosting | Yes | Yes | Yes | No |
| Starting Price | $0/$75/mo | Custom | Usage-based | $0/$45/mo |
| Free Tier | Yes (50k execs) | No | Open source | Yes (250 credits) |
| Enterprise SSO | Yes (Enterprise) | Yes | Yes | No |
| Observability | Real-time logs/traces | Yes | Yes | Basic |
| Support Options | Community/Pro/Enterprise | Enterprise | Community | Email/Pro |
Inngest offers simpler developer experience with multi-language SDKs and usage-based pricing vs Temporal's infrastructure-heavy approach. Temporal better for massive scale but requires more ops overhead.
Inngest for developer teams wanting minimal infrastructure; Temporal for platform teams building internal orchestration.
Kestra focuses on data pipelines while Inngest excels at general backend/AI workflows. Inngest has stronger real-time observability and AI-native features.
Choose Inngest for AI agent orchestration and event-driven apps; Kestra for data engineering workflows.
AgentX is AI-agent focused with credit-based pricing while Inngest provides durable execution infrastructure. Inngest better for production-scale reliability.
Inngest for backend workflow reliability; AgentX for rapid AI agent prototyping.
Inngest is an event-driven durable execution platform that runs reliable step functions triggered by events, cron or webhooks. It manages state, retries and failures automatically and takes care of all that without you having to manage any queues and infrastructure. Your functions can run for months, and always come with built-in recovery.
For developers, Inngest offers a free tier for development; after that you have to pay per function execution and concurrency. In order to find out how much an enterprise plan will cost for your company, you'll need to reach out to sales because prices depend on what you're using.
Functions run on Inngest servers in the cloud (Vercel, Netlify, Cloudflare) so there is no need to manage infrastructure as you would with Temporal's self-hosted model. Inngest has a focus on developer experience through its SDK-first approach, whereas Temporal is focused on enterprise-scale orchestration.
Yes, all data uses scoped subscription tokens that ensure users only access the specific channels/topics they are allowed to subscribe to, and each SDK request uses event keys to authenticate.
Yes, you can deploy Inngest functions to any platform you choose (Vercel, Netlify, Cloudflare), and the SDKs support most of the popular programming languages.
There is comprehensive documentation for Inngest, as well as a GitHub repository and a community Discord where you can get help from other users. Additionally, enterprise customers receive dedicated support, and there is a dashboard that allows you to monitor and debug your workflows in real time.
Yes, Inngest offers a very generous free tier for development and testing. In fact, there is no requirement to provide a credit card to begin using Inngest.
The delivery of events in Inngest is at-most-once (i.e., guaranteed delivery is not provided). Also, if you decide to host Inngest yourself, you will also be responsible for managing your own database. In addition, complex, long-running workflows require careful design of each individual step in order to optimize their performance.
Inngest is ideal for modern web development teams that want a serverless-first durable execution platform that eliminates the need for them to manage infrastructure for their event-driven workflows and/or their AI step functions. While Inngest does have some powerful features related to real-time processing of events, delivering events at-most-once (as opposed to guaranteeing delivery) means you'll still need to carefully consider how you design your applications.
Inngest is the right choice for modern development teams who are creating reliable, event driven workflows and AI agents on serverless platforms and need no additional infrastructure cost.
Inngest has complete REST/GraphQL APIs and SDKs across multiple programming languages that provide event driven durable workflows, and focuses on serverless deployment, real time streaming, and developer experience with flow control capabilities. The architecture of Inngest separates concerns clearly with Event API, buffer streams, and stateful execution.
Good - detailed technical documentation and GitHub repo provide strong architectural insights. Pricing, SLA, and enterprise features require sales contact. No public customer case studies found.
Native support for Vercel, Netlify, Cloudflare Pages, and self-hosted options. Functions run unchanged across environments. Dashboard provides unified monitoring regardless of deployment target.
SDK-first approach with TypeScript support, realtime hooks for React/Next.js, and typed channels/topics. Local development server enables fast iteration. GitHub repo actively maintained with 100+ contributors.
Native Datadog integration for metrics and monitoring. Dashboard shows function runs, event history, and performance metrics. Flow control provides built-in observability for concurrency and throttling.
Built-in support for LLM streaming, human-in-the-loop, and long-running AI workflows. Realtime features enable live UI updates from step functions. Steps can pause for months with automatic recovery.
Automatic retries, state management, and selective step retry for agent workflows
Fastest way to build, test, and ship complex agentic workflows with networks of agents
Secure offloading of LLM requests with full observability and serverless cost optimization
Request/response tracking, workflow tracing, metrics, and SQL Insights for agent performance
Debug and iterate agentic workflows locally before production deployment
Throttling, concurrency limits, debouncing, and prioritization for AI capacity management
Parts-based streaming of agent responses with useAgent hook and durable execution
| Provider | Platform | Pricing Model | Key Features | GA Date | Deployment |
|---|---|---|---|---|---|
| Inngest | AgentKit + step.ai | Usage-based (compute savings) | Durable AI execution, agent networks | Early Access 2026 | Serverless-first |
| Vercel | AI SDK + Inngest | Serverless function pricing | step.ai cost optimization | 2026 | Edge deployment |
Multiple agents with different tasks/instructions coordinated by steps in Inngest. Patterns include navigator, classifier, summarizer, ...
Agents reacting to events outside of themselves and from agent to agent through durable functions. These could be reactive chatbots responding to events, messaging group responses, etc.
Multi-step workflows that preserve context, retry at selected steps, and restore state when something fails (state recovery).
Intelligent routing between models (GPT-4o etc.), with price management, throttling, and handling of high and lower priority requests.
Real-time streaming of responses from composable agents (text, tools, reasoning) with durability across chunks.
| Framework | Production Focus | Core Strength | Best For | Scaling Approach |
|---|---|---|---|---|
| Inngest AgentKit | Production AI workflows | Durable serverless execution | Complex agentic systems, cost optimization | Serverless-native |
| Temporal | Workflow orchestration | Workflow-as-code durability | Long-running enterprise workflows | Self-hosted clusters |
| LangGraph | Graph-based agents | Stateful multi-actor graphs | Complex reasoning workflows | Framework scaling |
