Stream-Chain Workflow Orchestrator

About

Stream-Chain provides a robust framework for building sophisticated multi-agent pipelines where the output of one step flows directly into the context of the next. It enables developers to execute custom prompt sequences or utilize battle-tested predefined pipelines for codebase analysis, refactoring, testing, and optimization. By automating the flow of data between agents and supporting persistent memory and neural pattern training, Stream-Chain transforms manual, iterative coding tasks into efficient, high-throughput autonomous workflows.

Key Features

• Custom Multi-Step Prompt Chaining with full sequence control
• Sequential Context Flow with streaming data support between agents
• Custom Pipeline Definitions via local configuration files
• Deep Integration with Claude Flow memory and swarm coordination
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• Predefined Pipelines for Analysis, Refactoring, Testing, and Optimization

Use Cases

• End-to-end feature development from requirements analysis to unit testing
• Automated security auditing and prioritized vulnerability remediation
• Complex data extraction, transformation, and normalization pipelines