Overview
Discover how Fiberwise AI platform transforms your workflow automation with intelligent agents and seamless integrations.
What is Fiberwise?
Fiberwise is an application development platform that combines AI agents with dynamic data models, OAuth integrations, and web interfaces. Developers build apps using Python agents and manifest-driven configuration, deploy them through a CLI, and distribute them via an internal marketplace with user isolation and role-based access control.
🚀 Key Benefits
- Agent-Driven Applications: Build apps with AI agents that handle LLM interactions, data processing, and business logic
- Seamless Integration: Connect with existing tools and services through OAuth and APIs
- Scalable Architecture: Run in the cloud or on enterprise-grade deployments
- Developer-Friendly: Comprehensive SDKs and APIs for Python and Node.js (more planned)
How It Works
Fiberwise provides a complete development lifecycle for AI-powered applications, from initial setup to production deployment and monitoring.
Platform Initialization & Configuration
Begin by setting up your Fiberwise environment with your preferred deployment method. Choose from multiple installation options based on your needs and get started quickly.
Choose your deployment method: Each path is optimized for different use cases and technical requirements. Local development offers maximum flexibility for experimentation, self-hosted provides complete control for production environments, and cloud platform delivers instant access with managed infrastructure.
- Local Development: Perfect for learning, prototyping, and development with full source code access and hot reload capabilities
- Self-Hosted: Production-ready deployment with complete infrastructure control, custom domains, and enterprise security features
- Cloud Platform: Fully managed service with automatic scaling, 24/7 support, and enterprise collaboration tools
Agent Development & Function Creation
Develop intelligent agents using Python with built-in dependency injection and LLM integration. Create reusable functions for common operations and leverage the platform's service ecosystem.
- Function-based executions for simple tasks
- Class-based agents for complex workflows
- Multi-service agents with dependency injection
- LLM providers with model selection
- Dynamic data storage and querying
- OAuth credential management
- Real-time communication via WebSockets
Application Assembly & Pipeline Orchestration
Package your agents and apps into production-ready applications with web interfaces, REST APIs, and real-time features. Build sophisticated workflows that orchestrate multiple agents and external services.
- Interactive web applications with JavaScript SDK
- RESTful API endpoints with api authentication
- WebSocket connections for real-time updates
- Scheduled tasks and background processing
- Multi-agent coordination and chaining
- Conditional logic and branching
- Error handling and retry mechanisms
- External API integration and data flow
Deployment, Monitoring & Operations
Deploy applications with single-command installation, monitor performance through comprehensive dashboards, and maintain your solutions with version management and scaling capabilities.
- One-command installation and updates
- Automatic dependency resolution
- Environment-specific configuration
- Rollback and version management
- Real-time performance dashboards
- Execution history and debugging tools
- System health and resource monitoring
- API access and programmatic control