Coder Agents

Deploy AI coding as enterprise infrastructure.

Your organization is already adopting AI. Coder gives platform and security teams a fully self-hosted way to deploy it on infrastructure you already control.

Two Column Masthead BackgroundCoder Agents chat interface

AI is already used by developers, marketing managers, designers, product managers, financial analysts, HR leaders.
Now platform teams need a deployment model the enterprise can actually approve.

Govern and audit AI coding workflows.

The entire agent loop runs in the Coder control plane on infrastructure you control. Platform teams gain centralized visibility into prompts, tool calls, models, spend, and agent activity, with governance controls built for enterprise deployment.

  • Model GovernanceCentrally approve providers, models, private endpoints, and enterprise API keys so developers use only sanctioned options.
  • Usage Limits & Cost TrackingSet per-user and per-group spend controls and monitor usage across models, users, and chats.
  • No API Keys in WorkspacesLLM credentials exist only in the control plane, eliminating a critical exfiltration path.
  • Workspace GovernanceRestrict which workspace templates agents can use so they only run on approved infrastructure.
  • User Identity on Every ActionTie every agent action to an authenticated identity through your existing SSO stack for attribution, auditability, and accountability.
  • Standardized MCP and SkillsConfigure and extend agent behavior with centrally managed MCP tools, skills, and policies.

Run AI on your infrastructure.

Use a single control plane to run agents and automatically provision workspaces only when compute is needed. No separate service to deploy, and no extra agent platform to set up or manage.

Coder Agents architecture with control plane and workspaces
Background gradientCoder Agents model configuration interface

Bring any model.

Connect the models that work for your organization, from Anthropic, OpenAI, Google, and Bedrock to self-hosted endpoints. Switching models is a configuration change, not a platform migration.

Trigger agents anywhere.

Use the chat UI for foreground work, or trigger background tasks through the Coder Agents API. Integrate with CI pipelines, GitHub Actions, Slack, Jira, and other systems to automate work end to end.

Trigger Coder Agents from external systems

Measure adoption and outcomes.

Track usage, attribution, and outcomes across your organization, including token consumption, model selection, pull request activity, and merge rates.

Audit logs for Coder Agents activity

Self-hosted and fully inspectable.

Run Coder Agents inside your VPC, on-prem environment, or air-gapped enclave. Source code stays inside your perimeter, and the agent architecture is open to inspection, extension, and control.

Background gradientCoder open source on GitHub

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FAQs

What is Coder Agents?
Coder Agents is a native AI coding agent built into Coder that runs on your self-hosted infrastructure, enabling developers to delegate work through chat or API while platform teams maintain control.
How is Coder Agents different from other coding agents?
Does Coder Agents require a separate deployment?
Which LLM providers are supported?
Can I control what agents have access to?
How can I get started?