Orchestrate AI agents deterministically for reliable complex tasks and workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "babysitter" yet — see the docs or source repo.
Use Babysitter to chain four agents for requirements, coding, testing, and review. Define inputs, outputs, retry rules, and final acceptance criteria for each step so the workflow is repeatable and not dependent on improvisation.
A deterministic multi-agent execution flow with step definitions, constraints, retry logic, and acceptance criteria.
Design an agent workflow for source retrieval, fact checking, summary generation, and conclusion drafting. Each agent must act only within explicit rules and trigger human review when conflicting information appears.
A research-oriented agent orchestration plan with guardrails and exception handling to reduce hallucinations and workflow drift.
Use Babysitter to build an automation flow for daily operations, covering task intake, classification, assignment, execution checks, and result reporting, with fixed decision criteria and auditable logs at every decision point.
An auditable, reproducible operations automation workflow design suitable for stable long-term use.
Orchestrate multi-model agents, run workflows, and validate outputs deterministically.
Orchestrate multi-agent workflows, track spend, and govern AI operations centrally.
Coordinate multi-agent teamwork with ownership, Kanban flow, merge gates, and handoffs.
Automate end-to-end HR workflows like onboarding and scheduling with AI.
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Set up portable agents aligned with your codebase, workflows, and engineering standards.