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Orchestrate multi-model agents, workflows, and deterministic validation for automation.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agent-orchestrator" yet — see the docs or source repo.
Use agent-orchestrator to design a leader-worker workflow: have the leader break down 'build a todo app with login', assign tasks to code generation, test generation, and result validation workers, and return structured execution results for each step.
A clearly assigned multi-agent workflow with structured data for tasks, execution status, and validation results at each step.
Use agent-orchestrator to create an analysis workflow: let the leader define the goal, then have workers handle requirement整理, data checks, and conclusion synthesis, and validate the final output format with deterministic rules.
An executable analysis workflow definition, outputs from each stage, and pass/fail results for format and rule validation.
Use agent-orchestrator to orchestrate a pre-release workflow including task breakdown, code checks, test summary, and release-condition validation; the leader should coordinate, workers should execute, and the final release decision should be returned in a structured format.
A pre-release automation plan showing check results, validation conclusions, and the final release decision.
Enforce structured AI workflows with dependencies, quality gates, and validated outputs.
Orchestrate multiple AI agents to automate complex workflows efficiently.
Coordinate multi-agent teamwork with ownership, Kanban flow, merge gates, and handoffs.
Coordinate multiple AI models and personas for review, debate, and ideation.
Orchestrate multiple AI agents in real time and monitor tasks and artifacts.
Run deterministic agent orchestration with task decomposition, subagents, and review feedback.