Coder Agents is a model-agnostic platform designed to let organizations run AI coding agents on their own infrastructure, rather than relying on cloud-based services. This allows teams to maintain full control over code, data, and execution environments.
Coder Agents aims to break the tight coupling between agent tools and model providers, which often leads to vendor lock-in, by separating the infrastructure that runs the agents from the AI models they use. It provides an orchestration layer that allows teams to standardize workflows on a common platform while retaining the flexibility to choose and switch between models.
Intelligence continues to come from the models, but how agents execute, how workspaces and compute are provisioned, and how behavior is controlled become consistent across the organization.
Coder Agents provide a conversational interface and API for assigning tasks such as writing code, generating tests, or creating pull requests in the foreground or as background tasks. It centralizes control over model access, prompt management, execution policy, and observability. The API also enables more complex, automated workflows that can be triggered from systems like CI/CD pipelines, GitHub Actions, Slack, and other integrations.
Coder CEO Rob Whiteley noted on LinkedIn that building an agent is not the hard part. Instead, the real complexity lies in running agents safely and reliably, which requires careful management of models, tools, repositories, dependencies, context, and guardrails.
That's why we built Coder Agents. It solves running parallel agents with models of your choice and on the infrastructure of your choice.
In addition to supporting self-hosted deployments, Coder enables agents to run them inside Coder Workspaces. This, the company says, makes adoption easier for organizations already using workflows built on third-party tools like Claude Code, Cursor, or Codex, allowing them to transition gradually toward a more flexible, centralized, self-hosted approach without disrupting existing workflows.
Coder Agents is not the only option for self-hosting AI agents. Most notably, Cursor Agents also support self-hosted cloud agents capable of running multiple software tasks in parallel.
Cursor cloud agents run in isolated virtual machines, each with a terminal, browser, and full desktop. They clone your repo, set up the development environment, write and test code, push changes for review, and keep working whether or not you're online.
While similar in category, Coder notes that Cursor Agents and Coder Agents are designed with different priorities in mind. More broadly, existing model-agnostic AI control plane solutions include platforms such as TrueFoundry and Fiddler, among others.