// ORCHESTRATE AI AGENTS LIKE A PRO //
Chain your AI agents together with dependency management, parallel execution, and seamless handover between stages. Build complex automation workflows with simple YAML configs.
Run multiple agents simultaneously. Maximize throughput with concurrent stage execution.
Define dependencies between stages. Agents wait for their requirements before starting.
Simple, readable pipeline definitions. No code required to orchestrate complex workflows.
Context flows seamlessly between agents. Each stage inherits knowledge from its dependencies.
Set per-stage timeouts. Control execution time and handle long-running tasks gracefully.
Define how to handle failures. Continue, retry, or abort based on your needs.
# pipeline.yaml name: my-awesome-pipeline stages: research: agent: researcher prompt: "Analyze the codebase" implement: agent: developer depends_on: [research] prompt: "Build the feature" test: agent: tester depends_on: [implement] prompt: "Verify it works"
Chain AI agents for complex multi-step tasks
Build, test, and deploy with agent orchestration
Process, transform, and analyze with AI stages
Design, review, iterate with multiple agents
Ready to orchestrate your AI agents? The pipeline awaits, adventurer. Choose your next action wisely...
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