Cherry

AI Workflow Engine

Cherry keeps AI useful without handing it the keys

Self-hosted workflow execution, scoped LLM steps, and auditable control over every side effect.

Review how Cherry compares with fully agentic systems and cloud workflow builders before you choose an automation model.

Open architecture comparisonSign in
Self-hostedScoped AIAuditable

Architecture comparison now has its own landing page

The new `/comparison` route breaks down control flow, guardrails, business tradeoffs, and security implications for all three approaches.

Deterministic orchestration

Workflow steps, retries, and side effects stay in the engine instead of being delegated to the model.

Scoped AI calls

Models classify, extract, score, and draft. Connectors execute actions with explicit credentials and schemas.