Quick verdict
These two solve different-sized problems. Most auto-generated "vs" pages treat them as peers.
- Vercel Eve is a filesystem-first agent framework: directory authoring, durable sessions on Vercel Workflows, isolated sandboxes, Connect credentials, eval suites, and first-class Slack/Discord/Teams channels. Best for TypeScript teams on Vercel that need production machinery on day one. Honest limit: preview/beta; Vercel gravity; you pay Functions / Workflows / Sandbox / Gateway meters, not a single agent SKU.
- OpenAI Agents SDK (
@openai/agents) is a minimal library: agents, tools, handoffs, guardrails, a typed context object. Best for OpenAI-centric teams shipping a scoped assistant or a triage-plus-specialists pattern with the least abstraction possible. Honest limit: persistence, memory, sandboxes, channels, and evals are your problem. It hands you primitives, not a platform.
Cipher's cutover rule: count your non-negotiables. If you need two or more of durable sessions, sandboxed code exec, multi-channel delivery, or human-in-the-loop parking, Eve earns its weight. If you need none of them yet, the Agents SDK plus your own fifty lines ships faster and reads clearer. Graduate when a lost mid-flight run starts costing money.
Eve is not a substitute for the Vercel AI SDK. Stack Eve (agent OS) with the AI SDK (tokens on screen). See Eve vs AI SDK. The Agents SDK sits in the same "thin primitives" bucket as a hand-rolled loop — compare it to Mastra the same way: Mastra vs Agents SDK.
Last updated: August 2026. Re-check vercel.com/eve and the Agents SDK docs.
Framework matrix
| Vercel Eve | OpenAI Agents SDK | |
|---|---|---|
| Core abstraction | Agent = directory (instructions.md, skills, tools, channels) |
Agent + handoffs + guardrails in code |
| Durability | Workflows event log; sessions survive deploys and pauses | You build pause/resume and persistence |
| Sandbox | First-class isolated compute (Vercel Sandbox on Vercel) | None in-box; use OpenAI tools or your own VM |
| Channels | Slack, Discord, Teams, web, cron, GitHub, Linear as files | You own every webhook and thread model |
| Handoffs / multi-agent | Subagents + skills; model-led delegation | First-class Handoff between Agent objects |
| Memory & evals | Session context + framework eval suites + Agent Runs | Typed context; evals and memory are external |
| Model gravity | Any model via AI Gateway | OpenAI-shaped defaults; custom models possible |
| License / maturity | Apache-2.0 lineage; preview/beta | MIT code; production use as a thin library |
Where Eve wins
Eve wins when the missing pieces are the product. Durable sessions, sandboxed bash/file tools, Connect-managed credentials, and one agent that answers in Slack and on the web are not weekend add-ons. Eve ships them as directories and adapters.
Human-in-the-loop is the other Eve edge. A tool can declare that it needs approval. The session parks on Workflows and resumes when a human clicks. On the Agents SDK you write that plumbing, plus the store that remembers where you paused.
If the team already deploys Next.js on Vercel, Eve is the lower-glue path. The Agents SDK will run on Vercel Functions too. It will not give you Workflows durability, Sandbox isolation, or channel files for free.
Where the Agents SDK wins
The SDK wins on thinness. You can read the whole control flow in one file. Handoffs are explicit. Guardrails are explicit. There is no directory compiler, no preview-API risk, and no Vercel meter you did not choose.
It also wins when the org is already standardized on OpenAI tracing and you only need a scoped assistant: intake, classify, hand off to a specialist, return. That pattern is what the SDK was built for. Adding Eve to that job is framework weight you will not use.
Cipher sees the same graduation we wrote for Mastra: start on the SDK; leave when you need two of durability, memory, evals, or HITL. Eve is one of the places you graduate to — Mastra and LangGraph are the others. See Agents SDK vs LangGraph.
The cutover in practice
| Signal | Prefer Eve | Prefer Agents SDK |
|---|---|---|
| Need Slack + web + cron from one agent this month | Default | You will rebuild channels |
| Need sandboxed code exec | Default | Bring your own sandbox |
| Lost mid-flight run costs money or trust | Default (Workflows) | Graduate — or pick LangGraph |
| Scoped OpenAI assistant, no channels yet | Overkill | Default |
| Must stay off Vercel meters | Self-host path; more work | Any Node host |
| Want explicit handoff objects as the multi-agent model | Use subagents instead | Default |
AU/SG note: neither framework inherits AWS IAM/VPC by default. If residency is the real constraint, skip this pairwise and read Eve vs Strands.
FAQ
Is Eve just a wrapper on the OpenAI Agents SDK? No. Eve is Vercel's own directory framework on Workflows, Sandbox, and Connect. It talks to models through AI Gateway. It does not sit on @openai/agents.
Can I use Eve with OpenAI models only? Yes. Set the model string in agent.ts. You still inherit Eve's runtime, not the Agents SDK's handoff primitives.
When should I graduate off the Agents SDK? When you start writing your own session store, sandbox, channel adapters, or eval loop. That is the signal you wanted a framework. Eve, Mastra, or LangGraph — pick by gravity and failure cost, not by launch week.
Who helps ship either path? Cipher Projects — we will tell you when the SDK is enough, and when a thin demo is about to become an unpaid platform project.
Conclusion
Eve vs the OpenAI Agents SDK is a size-of-problem decision. Eve is an agent OS for Vercel: files, durability, sandbox, channels. The SDK is a lean loop with excellent handoffs. Start thin. Graduate when the missing platform pieces become the work.
Related: Mastra vs Agents SDK · CrewAI vs Agents SDK · Eve alternatives · Eve vs Mastra