> For the complete documentation index, see llms.txt.
Skip to main content

Check out Port for yourself ➜ 

External agents

External agents are AI agents you build and run outside Port. They fall into two common patterns:

  • Code-first agents — built with SDKs in your own code, repos, or CI (for example OpenAI Agents SDK, Anthropic Claude Agent SDK, Claude Code, or agents running in GitHub Actions).
  • Cloud-managed agents — hosted and operated on a vendor control plane (for example AWS Bedrock / AgentCore, Azure AI Foundry, or Cursor Cloud Agents).

Port connects to these agents so you can see which ones exist in your organization, what they can access, and trigger them from your workflows.

When teams lack a single view of external agents

As adoption grows, agents on external platforms often spread faster than your governance model:

  • Teams deploy code-first agents in repos and cloud-managed agents on Bedrock, Foundry, Claude, and other platforms independently.
  • Platform and security leads cannot answer basic questions: which agents are running, what data they can reach, or whether two teams built the same agent twice.
  • Without inventory, you cannot assign ownership, enforce approval flows, or audit what an agent did after the fact.

What Port gives you

CapabilityWhat it means for you
Context Lake discoveryAgents, environments, sessions, skills, and vaults from connected platforms appear as entities in your Context Lake.
Workflow operationsStart sessions, send messages, or create agents through Port workflows instead of switching to each vendor console.
Data access controlAgents respect Context Lake permissions — access to data is scoped to what their role allows.
Cross-platform registryUse an agent registry to track code-first and cloud-managed deployments in one view.

Get started by platform

Agent typeExamplesDocumentation
Code-firstOpenAI Agents SDK, Anthropic Claude Agent SDK, Claude Code, GitHub Actions agentsAgent registry and Port MCP server for governed Context Lake access
Cloud-managed — AWS / AzureAWS Bedrock / AgentCore, Azure AI FoundryAgent registry and Build an AI Agent Registry guide
Cloud-managed — CursorCursor Cloud AgentsPort MCP server for IDE and agent access to your Context Lake
  • AI registry — govern skills, prompts, and MCP servers that agents use when they connect to Port.
  • Port MCP server — connect IDEs and external tools to your Context Lake.