stream-chain

Automate sequential multi-agent workflows by streaming each step's output directly into the next, creating ordered transformations across agents. This approach handles software engineering tasks and data processing pipelines by chaining prompts dynamically.

Orchestrate multi-step agent pipelines by streaming outputs between steps and utilizing built-in memory features. This preserves context across individual steps and sessions, ensuring continuity for complex, collaborative multi-agent tasks.

Predefined pipelines support common software engineering tasks like analysis, refactor, test, and optimize. You can use these battle-tested templates directly or create custom chains by passing prompts that feed into one another.

Multi-agent orchestration supports configurable execution controls for data processing pipelines. You can adjust streaming behavior and apply optional memory settings to manage ordered transformations across various agent types.

Streaming outputs for multi-agent automation enables dynamic, end-to-end task execution by feeding each step's result immediately to the next. This avoids the delays of batch processing and allows flexible, step-by-step workflow construction.

Chain prompts to create custom, step-by-step agent workflows by passing each prompt's output directly into the next. This builds flexible pipelines for ordered transformations without relying on predefined templates.