You want primitives in your codebase.
Your team wants durable functions and an agent library it can assemble into a custom runtime. Inngest remains excellent for application jobs.
Mobius vs. Inngest
Inngest gives developers durable execution and AgentKit primitives to assemble in application code. Mobius starts at the next layer: one operated backend for teams running agents in products and internal operations.
| Decision point | Inngest | Mobius |
|---|---|---|
| Best fit | Durable functions and agent networks built in application code | Reliable AI agents as a managed team backend |
| What your team owns | Application code, model calls, tools, state stores, and UI | Agent behavior; Mobius operates the backend around it |
| Agent harness | AgentKit library for agents, networks, routing, and state | Hosted, versioned agents, loops, sessions, and skills |
| Model choice | Multiple providers selected and configured in code | Model-agnostic runtime, switch by step without a deploy |
| Integrations + auth | Author tools and wire APIs, MCP servers, and credentials | 30+ managed integrations, auth handled |
| Memory | Integrate a store and author memory tools and lifecycle hooks | Agent memory with recall and ranking, built in |
| Shared operational data | Bring your own database and object storage | Project tables and managed artifacts beside agent memory |
| Cost control | Instrument model usage and enforce limits in your application | Hard run and rolling loop budgets with run-level cost history |
| Human approval | waitForEvent plus the notification and review UI you build | Approval gates with the review UI built in |
| Runtime ownership | Inngest coordinates functions on infrastructure you deploy | Mobius runs agents in managed sandboxes or your private workers |
Primitives to assemble or a backend to adopt.
Both take durability seriously. The decision is whether your team wants to build the agent platform above the execution layer or use one with the runtime, state, integrations, budgets, and review already together.
You want the agent backend already operated.
Your team would rather configure agent behavior than build its state, integrations, budgets, storage, and review surfaces.
Keep the behavior. Skip the backend project.
Start free and ship on a managed agent backend with durable execution, shared data, cost controls, and model choice built in.