feat: MLE core package init

mle/__init__.py

@@ -0,0 +1,41 @@
+"""
+MLE — Morpho-Logic Engine
+===========================
+A novel reasoning AI architecture based on:
+- 4096-bit binary hyperdimensional vectors
+- Sparse distributed memory with Hamming distance proximity
+- Circular convolution binding for semantic composition
+- Energy-based dynamics for gradient-free reasoning
+- SIMD-optimized CPU computation (bit-slicing + popcount)
+
+Modules:
+    memory   — Sparse Address Table with LSH indexing
+    routing  — Recursive JIT Routing (beam search)
+    binding  — Semantic binding via circular convolution & XOR
+    energy   — Energy functions and relaxation dynamics
+    inference — Full reasoning engine
+
+Quick start:
+    from mle import MorphoLogicEngine
+    engine = MorphoLogicEngine()
+    engine.add_concept("cat")
+    engine.add_relation("cat", "is_a", "animal")
+    result = engine.reason("cat")
+"""
+
+__version__ = "0.1.0"
+__author__ = "MLE Team"
+
+from .inference.reasoning_engine import ReasoningEngine as MorphoLogicEngine
+from .memory import SparseAddressTable, HammingLSH
+from .routing import RecursiveJITRouter, RoutingResult
+from .binding import HRRBinding, BinaryBinding, BindingEngine
+from .energy import EnergyFunction, RelaxationDynamics, HopfieldDynamics, EnergyModel
+
+__all__ = [
+    'MorphoLogicEngine',
+    'SparseAddressTable', 'HammingLSH',
+    'RecursiveJITRouter', 'RoutingResult',
+    'HRRBinding', 'BinaryBinding', 'BindingEngine',
+    'EnergyFunction', 'RelaxationDynamics', 'HopfieldDynamics', 'EnergyModel',
+]