Private beta · now onboarding teams
Agentfield gives platform and DevOps teams a single place to build, connect, and deploy AI agents — with 10,000+ pre-built integrations and enterprise-grade controls already in place. Stop stitching.
agents:
- name: incident-responder
integrations: [pagerduty, datadog, slack]
- name: deploy-coordinator
integrations: [github, terraform, kubernetes]
- name: cost-monitor
integrations: [aws, snowflake, linear]
controls:
audit_log: true
rollback: true
access: team-scoped
How it works
Bring your own framework — LangGraph, CrewAI, custom Python. Agentfield wraps your agents without requiring rewrites or lock-in.
10,000+ pre-built connectors. GitHub, Datadog, PagerDuty, Terraform, Kubernetes, Snowflake — if your team uses it, Agentfield already speaks it.
Granular permissions, full audit trails, canary deployments, rollbacks. Your agents run in prod without a manual on-call rotation babysitting them.
Who it's for
You've been asked to give every product team access to agents. Building custom infrastructure for each one isn't sustainable. Agentfield is the shared runtime you run once so other teams can ship without creating a ticket for you first.
AI workflows that fit into your existing CI/CD pipelines — not around them. Agentfield connects directly to your observability, alerting, and deployment tooling so agents become first-class citizens in your ops runbooks.
Focus on model quality and agent behavior, not deployment plumbing. Agentfield handles versioning, access controls, and audit logs so you're not rebuilding the same scaffolding for every new agent that ships.
Private beta
We're working closely with a small number of platform and DevOps teams. Leave your email and we'll reach out when your spot opens.