Features
Model-agnostic Generators for LLM output generation
Action classes for defining reusable AI-driven tasks
Agent abstraction with automatic action selection
Custom Generator Output Adapters for flexible responses
Agent Triggers for initiating workflows
Built-in support for streaming responses
Integration with Ollama for local LLM execution
Integration with llamafile for local inference
Voice chat capabilities via Rails integration
TDD bot builder using Sublayer components
Dynamic output structure handling
Configurable model providers (OpenAI, Anthropic)
Role-based agent assignment (PM, architect, engineer, QA)
Structured output generation (requirements, design, code)
Data Interpreter for data analysis tasks
SELA module for self-evolving agents
Multi-agent collaboration and workflow orchestration
Meta-programming support for custom agent behaviors
Modular and extensible architecture
Built-in demo projects and case studies
MIT License fully open-source
Flow orchestration for complex agent pipelines
Integration with GitHub Actions and CI/CD
Community-driven with GitHub and Discord
