The Vercel AI SDK wires a model into an app in a few lines, and running that app is still yours to do. With a toolkit you assemble the parts and operate the result — availability, durable state, governance, and the pager are yours. With a platform the system comes assembled and operated, under a contractual SLA.
The Vercel AI SDK is a TypeScript library that abstracts model providers behind one API and adds tool loops, streaming, UI hooks, and MCP support. The SDK runs inside serverless functions you deploy, so your engineers wire it together and build the durable runtime, cross-region state, and governance around it.
Then your team runs it — scaling the functions, handling failover and recovery, and carrying the pager. The published 99.99% SLA covers Vercel's hosting platform on a commercially reasonable efforts basis. The running agent is yours to keep available.
The Akka Agentic AI Platform gives you the agents, durable state, streaming, APIs, and governance as one pre-integrated runtime. You describe the system you want, and the platform generates it, tests it, and runs it. Because everything runs in one runtime, a system that compiles is ready for production.
Akka keeps it running around the clock, with active-active replication and automatic failover, and stands behind a contractual 99.9999% availability SLA on the running system.
| Dimension | With the Vercel AI SDK | With Akka |
|---|---|---|
| Availability | Your team owns application uptime and recovery. The 99.99% Enterprise SLA covers Vercel's hosting platform on a commercially reasonable efforts basis, excludes Excused Downtime, and caps credits at 50% of the monthly fee — a ~52-minute yearly downtime budget. | Akka owns 99.9999% on the running system — a ~31-second yearly budget — active-active, sub-1-minute RTO, zero-byte RPO. |
| State & memory | Serverless functions are stateless and short-lived, capped at 800 seconds before a 504 timeout. Durability for long-running agents comes from the Workflow DevKit, which records each step to an event log and replays it, with production state in distributed storage. | Held in memory, active-active replicated — 4 ms reads, sub-10 ms writes, replayable from its own event journal. No external store on the hot path. |
| Governance | Security and privacy certifications cover the hosting platform. The SDK carries no inline AI-policy enforcement, classification, immutable ledger, or sealed audit artifact; those obligations stay with the customer to build. | Risk teams define policies independently; the runtime enforces them on every action — HITL, HOTL, guardrails, evaluations — with no developer code, into tamper-evident storage. |
| Runtime track record | The SDK is TypeScript and JavaScript only, on React, Next.js, Vue, Svelte, and Node.js; the durable Workflow DevKit and DurableAgent are recent additions to the serverless model. | since 2007, 100,000+ deployments — the runtime behind systems two billion people use daily. |
| Infrastructure cost | Consumption-metered serverless compute — Active CPU while code runs, plus provisioned memory — that scales with load. The agent runtime, memory, streaming, and governance around it carry their own cost. | One shared-compute runtime carries the same volume on up to 90% less infrastructure, at a fixed annual fee. Akka Optimize keeps improving the models on your own production traffic, so cost per task keeps falling as the system runs. |
| Portability | TypeScript on Vercel's serverless hosting; a production deployment accretes dependencies on that hosting model and its consumption meter. | Any cloud, on-prem, or sovereign — Java or Scala, portable specs, BSL licensing, no per-run meter. |
The difference is who writes the policy and when the policy takes effect. With the Vercel AI SDK, logging and evaluation are libraries a team bolts on around the agent, after the fact. With Akka, risk and compliance write the policies independently of the agents, and the runtime enforces them on every action — with no developer code to customize.
Add & monitor
With the Vercel AI SDK, the safeguards live in application code, written by the same TypeScript engineers who build the agent. The SDK abstracts model calls, tool loops, and streaming; the security and privacy certifications cover the hosting platform. The decisions the agent makes fall outside them.
You can add logging and evaluation libraries, but they work on the record of what already happened. The actual blocking, the immutable ledger, pre-deployment classification, and the sealed audit artifact are things you wire in yourself, project by project — and there is no built-in path for a risk officer to author and version a governance contract of their own.
Block & escalate
With Akka, your risk and compliance teams write the policies themselves, in a separate versioned lifecycle that is independent of the agents — there is no developer code to customize. The runtime enforces every policy inline at the agent boundary, so human-in-the-loop approvals, human-on-the-loop halt switches, sanitizers, guardrails, evaluations, testing gates, and simulations all run before an action executes and block or escalate anything that does not pass.
Every call is traced automatically into petabyte-scale, tamper-evident storage, and that same trace data feeds continuous evaluations that keep running in production, right alongside your agents.
Reach for the Vercel AI SDK when you are building streaming chat UIs and front-end model wiring in TypeScript, when the work lives inside a React or Next.js app and ships on serverless hosting, and when the system is interactive or low-stakes enough that some downtime is fine. Temporal fits when your team is ready to own the durable runtime, state, recovery, and governance that come with running it yourself.
Reach for the platform when the system has to stay up, survive failure, and recover on its own, and when it has to pass an audit and enforce governance while it runs. Akka fits when you want a single vendor accountable for availability under an SLA, and when you would rather ship the system than build and operate the plumbing underneath it.
A sample of agentic and real-time systems on the Akka Agentic AI Platform:
The Akka Agentic AI Platform builds, runs, and governs agentic systems under a contractual SLA. Tell us what you are building, and we will show you how it runs in production.
