Early Access

Stop losing agent state mid-workflow

AgentDAG adds the checkpoints, retries, and human gates that turn fragile agent calls into reliable production pipelines.

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Built for DevOps, platform teams, and engineering leads GitHub/GitLab native compliance-ready audit trails. Early access
Join early access

Stop losing agent state mid-workflow

AgentDAG adds the checkpoints, retries, and human gates that turn fragile agent calls into reliable production pipelines.

Join early access

The problem with single-shot agents

You're using AI agents to generate code, validate security, or prep deployments. But each call is isolated. No state carries over. No retry logic. No way for humans to intervene. One failure cascades.

Your release pipeline has approval gates and rollback. Your agent workflows should too.

What AgentDAG brings

Declarative DAG workflows

Write your agent pipeline in YAML. Define inputs, outputs, and sequencing once. AgentDAG handles the rest.

Idempotent stages & retries

Failed stages retry automatically. Idempotent execution means safe retries without side effects. Exponential backoff built in.

Human approval gates

Pause workflows at critical points. Humans review agent output, approve or reject, and DAG resumes with full context.

Instant rollback

Revert to the last known good state in seconds. No manual intervention. No data loss.

GitHub & GitLab integration

Trigger DAGs from PRs, branches, or webhooks. Stream results back as PR comments and status checks.

Compliance & audit

Every decision, retry, and rollback is logged. Export audit trails for compliance, post-mortems, and forensics.

Built for platform teams

AgentDAG is purpose-built for DevOps engineers and platform teams managing AI-assisted code generation, security scanning, and deployment validation at scale. Not a generic CI/CD tool. Not a workflow builder. A DAG engine designed from the ground up for agent orchestration.

How to get started

1. Define your agent workflow in YAML. 2. Agents declare their inputs and outputs. 3. AgentDAG handles state, retries, and gates. 4. Monitor runs in real-time; audit trails auto-logged.

See documentation

Pricing

Usage-based: pay per DAG run + per gate approval. Premium tier includes custom integrations and on-prem deployment.

How do you define a run?

One run = one end-to-end DAG execution, including all retries within that logical workflow.

What's included in early access?

Cloud-hosted DAG engine, GitHub/GitLab integration, real-time streaming, and full audit logging. Premium features available for trial.

Can we self-host?

On-prem deployment is available in the premium tier. Contact us to discuss your requirements.

Request early access