Autonomous engineering, under enterprise control.
Scoped repo access. Per-run permissions. Multi-role blocking review. Required CI. Isolated execution. Audit-ready logs. AgentLoom is built as engineering infrastructure: predictable, controllable, accountable.
Engineering infrastructure for the enterprise
Governed as delivery infrastructure.
AgentLoom does not bolt governance onto an autonomous agent. The architecture is the control surface. Runs use scoped GitHub access for the repo being worked, with no standing org-wide access. Permissions are derived from the task, stack, and repo policy. Approval gates are configured per repo. Multi-role review is blocking by structure, not by convention. CI is required before merge. Run lifecycle events, status transitions, approval decisions, credential access, code changes, and review outcomes are logged with timestamps, agent role, and cause. The trail is designed for evidence collection, internal audit, and incident review.
Designed to fit your identity stack.
AgentLoom supports enterprise SSO via SAML, alongside email login and GitHub OAuth for self-serve teams. Federated identity works with Okta, Microsoft Entra ID, Google Workspace, Auth0, and other SAML 2.0 providers. SCIM provisioning and finer-grained RBAC are planned Enterprise capabilities. Design partners can shape provider support, rollout sequencing, and policy requirements. Talk to sales about your identity provider and go-live constraints.
Your code, your perimeter.
Each agent run executes in an isolated, ephemeral environment. Source code is fetched from your GitHub installation for the run and the workspace is discarded afterward. Model usage runs on your own Anthropic key or Claude subscription, under your direct agreement with Anthropic — AgentLoom does not proxy your model spend or resell tokens, and Enterprise can bring self-hosted Bedrock. AgentLoom's hosted control plane runs on Google Cloud with private-IP databases, scoped service accounts, and Workload Identity Federation. Operational logs and run artifacts are retained for observability and audit according to the active environment policy. Customers with strict data-residency, retention, or isolation requirements should talk to sales about their posture.
Rolled out the way your team works.
Enterprise rollout is guided, scoped, and observable. AgentLoom works with your security, IAM, platform, and repo-owner teams to define the first scope: one team, one repo, one ticket class. Together, you validate connector permissions, review the setup PR, run a dry run, and decide the go-live gate. Enterprise can support annual contracts, custom orchestration budgets, invoice-based billing, vendor security review, DPA, and custom MSA conversations.
Tell us about your engineering org.
Share your security posture, identity stack, repo model, and rollout timeline. We will scope a pilot that fits your controls and walk it through security review with you.