Stream Chain

About

Stream Chain enables sophisticated multi-agent pipelines by allowing the output of one step to serve as the direct context for the next. It facilitates complex sequences like 'Research -> Design -> Implement -> Test' in a single automated flow. With support for both custom prompt sequences and battle-tested predefined pipelines—such as Analysis, Refactor, and Test—it streamlines technical workflows, ensures context preservation across long tasks, and allows for structured data transformations without manual intervention between phases.

Key Features

• Persistent context preservation through automated memory integration
• Support for user-defined reusable pipelines in local configuration files
• Sequential output-to-input chaining for multi-agent coordination
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• Predefined pipelines for code analysis, refactoring, testing, and optimization
• Customizable prompt sequences with granular timeout and debug controls

Use Cases

• Automating end-to-end feature development from requirements analysis to unit testing
• Executing systematic codebase refactoring and performance optimization workflows
• Building multi-stage data extraction and transformation pipelines for complex processing