stream-chain

Multi-step orchestration chains pass each step's output as input to the next step sequentially. stream-chain enables this through custom chains and predefined pipelines, letting you define prompt sequences with streaming context and sequential dependencies across agents without manual coordination.

Yes. Multi-agent coordination via streaming allows agents to work sequentially and share context through the pipeline. stream-chain configures per-step timeouts, optional memory persistence, and verbose debugging to manage complex, multi-agent tasks across software projects.

Custom chains let you define your own prompt sequences with sequential dependencies for unique workflows. Predefined pipelines are battle-tested configurations for common tasks. stream-chain supports both, letting you choose flexibility or proven patterns based on your use case.

stream-chain offers optional memory persistence and verbose output for debugging. These features let you inspect step outputs, trace data flow through the pipeline, and troubleshoot failures in complex, multi-agent orchestration.

stream-chain has no external dependencies and works with streaming data passed between steps. You provide prompt sequences or select a pipeline, then stream-chain handles sequential execution, timeout configuration, and optional memory—no prerequisite tools or environment setup required.

Use orchestration when agents must work in sequence with shared context, when manual step coordination is error-prone, or when you need enforced timeouts and memory across a pipeline. stream-chain reduces coordination overhead for complex, multi-step workflows that would be fragile if run manually.