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@dam-agents

DAM

DAM DAM

An open platform for long-lived AI agents.

Any harness, any model, on Kubernetes.

Run agents at scale with isolated sandboxes, credential injection, persistent workspaces, orchestration, scheduled triggers, Slack integration, and cost visibility.

Explore DAM · All repositories · Community


Get started

Whether you're exploring DAM as an open-source platform or using the hosted deployment at IBM, choose the path that's right for you.

Open-source community

Run DAM on your own infrastructure, build agent workflows, or contribute to the project.

For IBMers

Use IBM Research's hosted DAM deployment without running your own cluster.

The hosted deployment includes IBM internal model endpoints and integrations that aren't included in the open-source deployment.


Built in the open

DAM is licensed under Apache 2.0 and developed in the open. Issues, pull requests, and development happen in the DAM repository.

Whether you're running your own deployment or using DAM at IBM, explore the project, share what you're building, and help shape what's next.

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  1. dam dam Public

    Run long lived AI agents in isolated pods with runtime credential injection, scheduled triggers, and Slack native access.

    TypeScript 39 16

  2. community community Public

    Mission, security policy, complaint policy, governance, and best practices for the dam-agents community, the open platform for running AI agents on Kubernetes.

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