stream-chain

You orchestrate multi-step agent workflows by chaining outputs into cohesive pipelines, enabling streaming data flow where each step receives the complete previous output for richer coordination.

Yes, you can define and execute tailored custom prompt sequences with full control over order and context, or use battle-tested predefined pipelines to accelerate common automation tasks.

Multi-agent streaming supports context persistence across sessions through optional memory integration, enabling swarm coordination and allowing agents to retain context throughout the workflow.

The best way to coordinate multiple agents is using streaming orchestration that applies modular steps, streaming context, and timeouts to custom chains and predefined pipelines across development tasks.

No external dependencies are required to run multi-agent streaming pipelines, as the orchestration framework operates independently with modular steps, timeouts, and optional memory integration built in.

Chaining agent workflows with streaming context requires managing timeouts and modular steps carefully, as each step depends on the complete previous output, which can impact pipeline execution latency.