Compare Coder Agents to Cursor Agents
Cursor's self-hosted cloud agents let teams run execution environments on infrastructure they control while relying on Cursor's cloud for orchestration, model access, and the overall agent experience. For many teams, that balance is a practical way to adopt agent workflows without managing the full system themselves.
Coder Agents is built for environments with stricter requirements. It keeps the control plane, agent loop, and model routing on infrastructure you control, giving teams full visibility into how agents run, how data flows, and whether anything operates outside their network perimeter. This makes it a better fit for regulated industries, air-gapped deployments, and organizations that need complete control over their development and AI systems.
Why look for Cursor Agents alternatives?
- The agent loop runs in Cursor's cloud.Planning, state, and model inference happen in Cursor's control plane. Your full repository, secrets, and build artifacts can stay in your environment, but the file contents and tool outputs the model reasons over are sent to Cursor's cloud for inference, because that is where the agent loop runs. For strict perimeter or data residency requirements, that can be a blocker.
- Model routing for cloud agents is Cursor-managed.Cursor does offer bring-your-own-key and AWS Bedrock routing for its in-IDE coding features. That doesn't extend to Cloud Agents or Background Agents, which run on Cursor's infrastructure and use Cursor's routing regardless of your BYOK configuration. There's no path to route cloud-agent inference to your own self-hosted models or providers like Ollama.
- Scaling runs through Cursor's orchestration.
The default self-hosted pool caps are 50 workers per team and 10 per user. Larger fleets are available on request and through Cursor's Kubernetes operator, but scaling still depends on Cursor's cloud control plane and on Cursor's involvement for higher limits. - Different design priorities.Cursor optimizes for a managed experience and fast onboarding. Coder is built for environments where keeping the full stack inside your own infrastructure is a hard requirement.
Architectural differences at a glance
| Dimension | Coder Agents | Cursor Agents (self-hosted) |
|---|---|---|
| Execution environment | Customer-controlled infrastructure | Customer-controlled infrastructure |
| Agent loop location | Customer-controlled infrastructure | Cursor’s hosted cloud service |
| Model inference | Direct to customer-configured provider, no Coder intermediary | Routed through Cursor |
| Agent tool execution | Customer-controlled infrastructure | Customer-controlled infrastructure |
| Code and prompt data path | Sent only to the configured provider, or kept fully in-network with self-hosted models | Code context is sent to Cursor for inference |
| Internet dependency | Not required for fully self-contained deployments | Required for orchestration and inference |
| Air-gap capable | Supported with self-hosted models | Not supported |
| Model choice and control | Customer chooses and manages providers and models | Limited to Cursor-managed options for cloud agents |
| Control plane location | Customer-controlled infrastructure | Cursor’s hosted cloud service |
| Open source | No |
Why teams choose Coder Agents
When “self-hosted” means the entire stack: source code never leaves, model routing is under your control, and there’s no mandatory connectivity to a vendor’s cloud.
Fully self-hosted architecture, not partial
The entire system runs on your infrastructure, including the control plane, agent loop, model routing, and execution environments. There’s no dependency on an external service for orchestration.
Air-gap and restricted-network ready
Coder Agents can run without internet access using self-hosted models. This makes it viable for environments where outbound connectivity is limited or prohibited.
Direct control over models and providers
Teams choose which models to use and connect directly to providers like Anthropic, OpenAI, or self-hosted endpoints. There’s no intermediary managing routing or credentials.
Built for enterprise scale
Agent workflows run through centralized infrastructure that can support large developer populations without relying on fixed pools of workers or per-task environments.
Unified infrastructure for devs and agents
Agent environments use the same infrastructure and provisioning model as developer workspaces. Platform teams manage one system, not separate stacks.
Open and inspectable
The platform is fully open source, allowing teams to audit, extend, and integrate it into their existing systems without relying on a black box.
