Rheosoph/flow-like
Flow Like
Flow-like is a workflow orchestration engine designed for building and executing strictly typed automated processes. It provides a secure, sandboxed runtime environment that supports the integration of local artificial intelligence models, allowing for the processing of data entirely on host hardware without reliance on external cloud services.
The platform distinguishes itself through its event-sourced execution tracing, which records every state change and data movement to enable full auditability and the replay of past processes. It combines this with a hybrid storage system that integrates structured object management with vector search capabilities, alongside a visual interface builder that maps component layouts to native applications across desktop, web, and mobile environments.
The system supports a broad range of enterprise-grade capabilities, including the development of modular, sandboxed workflow components and the management of large-scale data pipelines. By enforcing schema-driven validation across all process chains, the platform ensures reliability and consistency when executing complex, multi-step automation logic.
Features
- No-Code Application Builders - Provides a visual environment for designing and deploying custom interfaces that trigger complex backend workflows.
- Workflow Automation Engines - Provides a strictly typed orchestration engine for executing complex, multi-step automated processes with schema-driven validation.
- Schema-Driven Orchestration - Orchestrates automated tasks by validating data structures against strict type definitions to ensure process reliability.
- Local Inference Engines - Runs machine learning models directly on host hardware to process data privately without cloud dependencies.
- Local Model Execution - Provides local execution of language, vision, and embedding models to ensure data privacy and offline capability.
- Local Model Orchestrators - Manages and executes private language and vision models locally to process sensitive data without cloud providers.
- Business Workflow Automation - Automates complex, multi-step business processes with strict data validation and reliable production performance.
- Workflow Orchestration Engines - Orchestrates strictly typed automated processes with integrated support for local AI model inference.
- Hybrid Search Retrievers - Integrates structured object storage with vector search capabilities for high-performance retrieval of large datasets.
- Modular AI Workflow Components - Supports creating specialized, sandboxed processing nodes to extend automation capabilities with custom logic.
- Custom Functional Node Development - Supports developing specialized workflow components in various languages, compiled into isolated modules for consistent performance.
- Enterprise Data Platforms - Manages large-scale information processing with built-in audit logging and execution tracing for complex logic flows.
- Cross-Platform Application Development - Enables building and deploying workflow interfaces that run consistently across desktop, web, and mobile devices.
- Event Sourcing - Persists all workflow state changes as an immutable sequence of events to enable full auditability and process replay.
- Sandboxed Execution Environments - Executes custom workflow components in isolated, secure runtime environments to ensure consistent performance.
- Execution Path Tracing - Records complete process run history to facilitate auditing of data movement and replay of past executions.
- Execution Audit Journals - Maintains chronological records of event sequences to audit execution paths and verify data movement.
- Visual-to-Native Mappings - Maps visual component layouts to native application interfaces across desktop, web, and mobile environments.
- Visual Interface Builders - Includes a visual interface builder for creating installable applications that deploy workflows across multiple platforms.
Star history
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