Cursor Projects and the OpenAI Agents API both coordinate long-running agents, but they solve different product problems. Cursor Projects is a software-development workspace for people who want a coordinator to plan, delegate, review, and continue coding work. The OpenAI Agents API is infrastructure for developers who want to embed managed agents inside their own product or workflow.

That distinction matters more than any feature checklist. Choose Cursor Projects when the product you want is an AI development environment. Choose the Agents API when you are building the product and need programmable control over sessions, tools, execution, and user experience.

Quick comparison

Decision	Cursor Projects	OpenAI Agents API
Primary user	Software teams using Cursor	Developers building agent products
Product type	End-user development environment	Programmable API and managed runtime
Current status	Beta rollout	Documented OpenAI API product
Persistent work	Shared project context across long tasks	Durable managed agent sessions
Coordination	Coordinator plans, delegates, and reviews	Application creates and controls sessions and agents
Subagents	Coordinator can delegate parallel tasks	Programmatic parallel subagents
Execution	Cursor cloud agents and optional local agent	OpenAI-hosted sandbox and browser, or external environment
Triggers	Slack, schedules, pull requests, and other subscriptions	Application-defined API calls, tools, and events
Pricing	Cursor subscription and usage rules	No separate beta platform surcharge, model and tool usage still costs money

What Cursor Projects is

Cursor describes Projects as a persistent coordinator for software work. A project can retain shared context over long periods, turn goals into tasks, delegate work to many subagents, and review their output. The coordinator is not simply another editor chat. It is designed to supervise work performed by cloud agents, with a local agent available when a task needs the developer’s own machine or test environment.

Projects can continue after a laptop is closed. Teams can also connect work to events such as Slack messages, schedules, or pull requests. That makes Projects useful for recurring repository maintenance, migration work, and larger implementation efforts that would otherwise require a developer to keep prompting individual agents.

The limitation is equally clear: Projects is centered on software development inside Cursor’s product. It is not a general API for adding a managed agent runtime to your own SaaS application.

What the OpenAI Agents API is

The OpenAI Agents API exposes managed agent infrastructure based on the Codex harness. OpenAI manages durable sessions, orchestration, context compaction, recovery, and optional hosted sandboxes. Developers can connect MCP servers, use deferred tool search, expose custom tools, run programmatic tool calls, and coordinate parallel subagents.

OpenAI also documents an OpenAI-hosted browser for computer-use workflows. Authentication and consequential actions still require explicit product design and approval handling. A hosted browser reduces infrastructure work; it does not remove responsibility for permissions, auditability, or safe side effects.

Execution can happen in an OpenAI-hosted sandbox or in infrastructure controlled by the developer, including a VPC or supported partner environment. That choice is important for teams with data-residency, network-access, or proprietary-runtime requirements.

The API does not give you Cursor’s complete coding workspace. You still design the product interface, permissions, approval boundaries, tool contracts, and business logic. For lower-level control without the managed harness, compare the Responses API migration guide and Agents SDK setup guide. For deployment choices, use the AI application architecture guide.

Persistent context and coordination

Both products reduce the need to restart a complex task from scratch. Cursor Projects keeps shared project context for a development initiative and delegates work through a coordinator. The Agents API keeps managed session state for an application-controlled agent.

The difference is ownership. Cursor defines the coordinator experience and software-workflow surface. With the Agents API, your application decides when to start a session, which tools are available, what state enters the context, and how results appear to users.

If your team wants a ready-made environment for repository work, Cursor removes more product design. If you need an agent inside a customer-facing workflow, the Agents API gives you the programmable layer Cursor Projects does not aim to provide.

Sandboxes and execution control

Cursor Projects delegates to Cursor cloud agents and can use a local agent for machine-specific work. That is practical for builds, tests, and repository tasks tied to a developer environment.

The Agents API offers an OpenAI-hosted sandbox and options for external execution. This can fit broader agent products, but it also leaves more security decisions with the builder. A tool connection is not automatically safe because it uses MCP. Define least-privilege credentials, explicit approval steps, network boundaries, audit logs, and limits on irreversible actions. Our AI security foundation covers those controls.

Triggers and background work

Cursor Projects has product-level subscriptions for events such as Slack messages, schedules, and pull requests. These are useful when development work starts from team activity instead of a manual prompt.

The Agents API is triggered programmatically. Your application can react to a webhook, queue item, user request, or internal event, then create or continue an agent session. This is more flexible, but you must build the surrounding event handling, retries, idempotency, and monitoring. See the guides to webhook architecture and idempotency for AI agents.

Pricing and cost control

OpenAI does not publish one flat price for an Agents API run. Model tokens, built-in tools, hosted sandbox usage, MCP services, and external infrastructure can all create costs. Long sessions and parallel subagents make cost limits and trace-based budgeting necessary.

AWS separately offers Amazon Bedrock Managed Agents, powered by OpenAI, in preview. It uses a customized AWS-native version of the OpenAI Agents API with IAM roles, supported CloudTrail activity, approval controls, durable sessions, skills, and MCP. During preview AWS says there is no additional BMA charge beyond consumed AWS resources. Treat this as a distinct Bedrock preview route, not proof that the OpenAI-hosted service itself is beta or that both environments expose identical features.

Cursor Projects pricing follows Cursor’s own subscription and usage structure. Cursor has not published a simple per-project price that can be compared directly with API token costs. Treat the products as different buying units rather than forcing them into one price-per-request table.

Lock-in and portability

Cursor Projects stores value in Cursor’s coordinator, project context, cloud-agent workflow, and integrations. Moving that exact experience to another coding environment is not a simple export.

Agents API applications depend on OpenAI’s managed session and sandbox interfaces. MCP can make individual tool integrations more portable, but it does not make the orchestration layer vendor-neutral. Keep important business state in your own systems and define tools behind interfaces you control.

My take

Cursor Projects is the better choice for a development team that wants a finished multi-agent coding environment. The OpenAI Agents API is the better foundation for a company building its own agent product, especially when the agent must live inside a custom application and react to application-owned events.

They can also coexist. A team could use Cursor Projects to build and maintain a product whose runtime agents use the OpenAI Agents API. That is a more accurate model than treating them as direct substitutes.

Related articles

• Best AI coding tools
• Cursor vs Claude Code vs Windsurf
• OpenAI Agents SDK setup guide
• AI application architecture
• AI security and credentials
• Running AI applications in production

FAQ

Is Cursor Projects an API?

No. Cursor Projects is a product experience for coordinating software-development work. The OpenAI Agents API is designed for programmatic integration.

Can both products run work in the background?

Yes. Cursor Projects can continue cloud work after a laptop closes. Agents API sessions can support durable, long-running application workflows.

Does the Agents API replace the Agents SDK?

No. The API provides a managed harness. The SDK helps applications build and own orchestration with SDK primitives.

Is the OpenAI Agents API free?

There is no single flat Agents API fee. Model, tool, sandbox, MCP, and external-service usage can still be billed.

Which is better for a coding team?

Cursor Projects is usually the more direct fit for an internal coding workflow. The Agents API is stronger when the team needs to build a custom agent-powered product.