Feature
AI Workflow Builder
Design and execute graph-based automation workflows that combine AI reasoning, containerized code execution, and conditional logic. Trigger from GitHub webhooks, inbound email, or cron schedules.
Capabilities
Composable nodes, deterministic execution
Event-Driven Triggers
Start workflows from GitHub webhooks, inbound email, or cron schedules. Each trigger injects structured data into the execution context.
AI and Code Nodes
Inline AI nodes call Claude or OpenAI for reasoning tasks. Code nodes run containerized Claude Code sessions that can read, write, and commit changes to repositories.
Conditional Branching
Route execution through conditional nodes using over ten comparison operators. Branch on AI output, trigger data, or any upstream node result with deterministic evaluation.
Node types
Triggers
Processing
Actions
Reliable execution you can trace
Workflows execute via topological sort, guaranteeing each node runs only after its dependencies complete. State is tracked in Redis for speed and persisted to MongoDB for auditability.
How data flows between nodes
Trigger Context
Access event payload via , , and other trigger-specific fields
AI Output
Reference AI responses with or by node ID using
Code Results
Containerized code writes to /io/output/result.json, available to downstream nodes
Conditional Routing
Branch paths are evaluated and skipped branches propagate through the graph
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