Fair Source foundation for building Level 4 Anticipatory AI systems
Fair Source License 0.9 • Free for Students & Small Teams • Community Driven
Built-in framework for creating AI that progresses from reactive to anticipatory intelligence.
Extensible system for building domain-specific wizards and tools.
Advanced pattern matching and analysis for identifying trends and trajectories.
Core algorithms for predicting future states based on current trajectories.
Built for modern Python with async/await support throughout.
Comprehensive test coverage with pytest and type hints throughout.
pip install empathy-frameworkfrom empathy_framework import BaseWizard
class MyWizard(BaseWizard):
@property
def name(self) -> str:
return "My Custom Wizard"
@property
def level(self) -> int:
return 4 # Level 4: Anticipatory
async def analyze(self, context):
# Your anticipatory logic here
predictions = self.predict_future_issues(context)
recommendations = self.generate_recommendations(predictions)
return {
"predictions": predictions,
"recommendations": recommendations,
"confidence": 0.85
}
# Use your wizard
wizard = MyWizard()
result = await wizard.analyze({"data": your_data})The Empathy Framework is Fair Source licensed and welcomes contributions from developers worldwide.