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Multi-agent orchestration for the command line. Chain AI agents together with parallel execution, dependency management, and seamless handover between stages. Your pipelines, your rules.
> SYSTEM://CAPABILITIES
Run multiple AI agents simultaneously. Maximize throughput by executing independent stages in parallel across your pipeline.
Define stage dependencies with precision. The pipeline engine resolves execution order and manages the flow automatically.
Context flows between agents seamlessly. Each stage receives outputs from its dependencies via structured handover files.
Define pipelines declaratively. YAML-based configuration keeps your workflows version-controlled and reproducible.
Configure how the pipeline handles failures. Stop on error, continue with warnings, or implement custom recovery logic.
Set per-stage timeouts to prevent runaway agents. Kill stages that exceed their allocated execution window.
> PROCESS://FLOW
# Multi-agent design pipeline name: design-exploration version: "1.0" stages: product-owner: agent: ./agents/product-owner.md timeout: 120 brutalist-designer: agent: ./agents/brutalist.md depends_on: [product-owner] parallel: true cyberpunk-designer: agent: ./agents/cyberpunk.md depends_on: [product-owner] parallel: true final-review: agent: ./agents/reviewer.md depends_on: [brutalist-designer, cyberpunk-designer]
> TARGET://SCENARIOS
Run multiple design agents in parallel to explore different aesthetic directions. Compare outputs and iterate quickly.
Chain code generation, review, and testing agents. Automated quality gates ensure only passing code moves forward.
Research, write, edit, and fact-check with specialized agents. Each stage refines the output of the previous.
Extract, transform, and analyze data with agent chains. Parallel processing handles large datasets efficiently.
> INIT://SEQUENCE
npm install -g agent-pipeline