NESH Memory Network
NESH (Neural Echo Storage Hub) is DragonFire's waveform memory system that encodes and stores information as harmonic wave patterns, enabling high-dimensional memory compression, resonant retrieval, and temporal persistence of neural states.
Introduction
NESH represents a breakthrough in neuromorphic memory architecture by encoding information as persistent waveform patterns rather than discrete binary states. Unlike traditional memory systems focused on bit-level storage, NESH operates at the pattern level, treating memory as dynamic, resonant waves that can be superimposed, transformed, and retrieved through harmonic resonance.
At its core, NESH implements a continuous waveform memory space where information exists as multi-dimensional standing waves. These waves interact to form complex interference patterns, with information retrieved not through direct addressing but through resonant stimulation of the memory space. This approach allows for exceptional efficiency in storing relational and contextual information, as well as inherent pattern recognition capabilities.
NESH was specifically designed to complement NuMap's structured hex-grid memory and support Aurora's fractal consciousness architecture by providing a medium for storing complex temporal patterns and neural states. The "Echo" in NESH refers to its ability to maintain persistent reverberations of neural activations long after the initial stimulation has ceased, creating a form of memory with natural temporal decay properties similar to biological memory.
Core Principle: NESH operates on the principle that information can be encoded as harmonic wave patterns in a continuous field, with retrieval occurring through resonant stimulation. This approach enables memory storage that preserves relationships, contexts, and patterns while allowing natural degradation and reinforcement mechanisms that mimic biological memory systems.
Key Concepts
Waveform Memory
Memory architecture that encodes information as persistent standing wave patterns in a continuous field, allowing for superposition and interference-based storage.
Neural Echo
Persistent reverberation of neural activation patterns that naturally decay over time unless reinforced, creating memory with biologically-inspired temporal properties.
Resonant Retrieval
Process of accessing stored information by stimulating the memory field with patterns that resonate with target memories, amplifying matching patterns.
Harmonic Encoding
Technique for storing information using combinations of harmonic frequencies, allowing for high-dimensional data compression in a continuous medium.
Interference Patterns
Complex wave interactions that create distinctive patterns when multiple waveforms overlap, enabling rich associative memory capabilities.
Temporal Persistence
Characteristic of stored waveforms to maintain their pattern over time with gradual decay, allowing for long-term memory with natural forgetting mechanisms.
Waveform Memory Architecture
NESH's waveform memory architecture creates a continuous medium for storing information as wave patterns:
Memory Field Structure
The fundamental structure of NESH's memory field enables the encoding and persistence of complex wave patterns:
// Define waveform memory field structure
typedef struct {
uint32_t dimensions; // Number of dimensions in the field
uint32_t* resolution; // Resolution for each dimension
float* damping_factors; // Damping factor for each dimension
complex_t*** field; // Multi-dimensional complex field values
field_parameters_t params; // Field parameters (viscosity, elasticity, etc.)
timestamp_t last_update; // Last field update timestamp
} waveform_field_t;
// Initialize waveform memory field
waveform_field_t* init_waveform_field(uint32_t dimensions, uint32_t* resolution) {
waveform_field_t* field = (waveform_field_t*)malloc(sizeof(waveform_field_t));
// Set basic parameters
field->dimensions = dimensions;
field->resolution = (uint32_t*)malloc(dimensions * sizeof(uint32_t));
memcpy(field->resolution, resolution, dimensions * sizeof(uint32_t));
// Initialize damping factors (controls persistence)
field->damping_factors = (float*)malloc(dimensions * sizeof(float));
for (uint32_t i = 0; i < dimensions; i++) {
// Default to gentle damping that allows long persistence
field->damping_factors[i] = 0.9995f;
}
// Allocate field memory (simplified for clarity)
field->field = allocate_complex_field(dimensions, resolution);
// Initialize with zero values
clear_field(field);
// Set field parameters
init_field_parameters(&field->params);
// Set timestamp
field->last_update = get_current_timestamp();
return field;
}
Wave Dynamics
NESH implements sophisticated wave propagation and interference physics to create a dynamic memory medium:
// Update wave dynamics in the field
void update_wave_dynamics(waveform_field_t* field, double delta_time) {
// Calculate effective time step (for stable simulation)
float dt = calculate_effective_timestep(field, delta_time);
// Store previous field state for update calculations
complex_t*** prev_field = copy_field_state(field);
// For each point in the field (simplified for clarity)
for (uint32_t x = 0; x < field->resolution[0]; x++) {
for (uint32_t y = 0; y < field->resolution[1]; y++) {
// Calculate Laplacian (sum of neighboring values - center value)
complex_t laplacian = calculate_laplacian(prev_field, x, y, field->dimensions);
// Apply wave equation: acceleration = c² * laplacian
complex_t acceleration = complex_multiply_scalar(
laplacian, field->params.propagation_speed_squared);
// Update field value using verlet integration
field->field[x][y] = calculate_next_field_value(
field->field[x][y], prev_field[x][y], acceleration, dt);
// Apply damping (controls persistence)
apply_damping(field, x, y, dt);
}
}
// Apply boundary conditions
apply_boundary_conditions(field);
// Update timestamp
field->last_update = get_current_timestamp();
// Free temporary field copy
free_field_state(prev_field, field->dimensions, field->resolution);
}
Harmonic Encoding
Information is encoded into the waveform field using harmonic wave patterns:
// Encode data into harmonic wave patterns
void encode_harmonic_data(waveform_field_t* field,
void* data, size_t data_size,
encoding_schema_t* schema) {
// Convert raw data to harmonic components
harmonic_components_t* components = extract_harmonic_components(
data, data_size, schema);
// For each harmonic component
for (uint32_t i = 0; i < components->count; i++) {
harmonic_t* h = &components->harmonics[i];
// Calculate wave parameters
float amplitude = h->amplitude;
float frequency = h->frequency;
float phase = h->phase;
vector_t* direction = h->direction;
// Apply harmonic wave to field
apply_harmonic_wave(field, amplitude, frequency, phase, direction);
}
// Apply non-linear transformations for higher-order encoding
if (schema->use_nonlinear_encoding) {
apply_nonlinear_transformations(field, schema->nonlinear_params);
}
// Normalize field if needed
if (schema->normalize_after_encoding) {
normalize_field(field);
}
// Free harmonic components
free_harmonic_components(components);
}
Neural Echo System
NESH implements a neural echo system that maintains reverberations of activation patterns:
Echo Persistence
Neural echoes persist within the memory field with natural decay characteristics:
// Create neural echo from activation pattern
echo_t* create_neural_echo(waveform_field_t* field,
activation_pattern_t* pattern,
echo_params_t* params) {
// Allocate echo structure
echo_t* echo = (echo_t*)malloc(sizeof(echo_t));
// Set basic parameters
echo->creation_time = get_current_timestamp();
echo->initial_strength = params->initial_strength;
echo->current_strength = params->initial_strength;
echo->decay_rate = params->decay_rate;
echo->resonance_profile = copy_resonance_profile(params->resonance_profile);
// Convert activation pattern to field perturbation
field_perturbation_t* perturbation = activation_to_perturbation(pattern);
// Apply perturbation to field
apply_perturbation(field, perturbation);
// Store perturbation signature for later retrieval
echo->signature = extract_perturbation_signature(perturbation);
// Free temporary structures
free_perturbation(perturbation);
return echo;
}
// Update echo strength based on time
void update_echo_strength(echo_t* echo, waveform_field_t* field) {
// Get time elapsed since creation
double elapsed_time = get_elapsed_time(echo->creation_time);
// Calculate decay factor based on elapsed time and decay rate
float decay_factor = calculate_decay_factor(elapsed_time, echo->decay_rate);
// Apply decay to echo strength
echo->current_strength = echo->initial_strength * decay_factor;
// If strength falls below threshold, mark for cleanup
if (echo->current_strength < ECHO_STRENGTH_THRESHOLD) {
echo->marked_for_cleanup = true;
}
// Update field to reflect changes in echo strength
update_field_for_echo(field, echo);
}
Resonant Retrieval
Information is retrieved from neural echoes through resonance with query patterns:
// Retrieve information through resonant stimulation
retrieval_result_t* retrieve_through_resonance(waveform_field_t* field,
query_pattern_t* query,
retrieval_params_t* params) {
// Create result container
retrieval_result_t* result = create_retrieval_result();
// Convert query to resonant probe
resonant_probe_t* probe = create_resonant_probe(query);
// Apply probe to field
apply_resonant_probe(field, probe);
// Measure resonance response at each point
resonance_map_t* response = measure_resonance_response(field, probe);
// Extract local maxima in resonance map
peak_set_t* peaks = extract_resonance_peaks(response, params->threshold);
// Sort peaks by strength
sort_peaks(peaks);
// For each peak above threshold
for (uint32_t i = 0; i < peaks->count && i < params->max_results; i++) {
// Extract information from resonance peak
echo_t* echo = extract_echo_from_peak(field, &peaks->peaks[i]);
// Convert echo to result entry
result_entry_t* entry = convert_echo_to_result(echo, response);
// Add to result set
add_to_result_set(result, entry);
// Free echo
free_echo(echo);
}
// Clean up resources
free_resonant_probe(probe);
free_resonance_map(response);
free_peak_set(peaks);
return result;
}
Reinforcement Mechanisms
NESH implements natural reinforcement mechanisms that strengthen frequently accessed echoes:
// Reinforce echo pattern
void reinforce_echo(waveform_field_t* field,
echo_t* echo,
reinforcement_params_t* params) {
// Calculate reinforcement factor based on parameters
float reinforcement_factor = calculate_reinforcement_factor(params);
// Boost echo strength
float new_strength = echo->current_strength * (1.0f + reinforcement_factor);
// Cap at maximum strength
echo->current_strength = min(new_strength, MAX_ECHO_STRENGTH);
// Reset creation time if full renewal
if (params->full_renewal) {
echo->creation_time = get_current_timestamp();
} else {
// Adjust decay rate based on partial reinforcement
echo->decay_rate = calculate_adjusted_decay_rate(
echo->decay_rate, params->decay_adjustment_factor);
}
// Create reinforcement perturbation
field_perturbation_t* perturbation = create_reinforcement_perturbation(
echo, reinforcement_factor);
// Apply to field
apply_perturbation(field, perturbation);
// Free resources
free_perturbation(perturbation);
}
Implementation Guide
NESH API
The NESH API provides interfaces for working with the neural echo storage system:
// Initialize NESH system
NESH* nesh_init(nesh_config_t* config) {
NESH* nesh = (NESH*)malloc(sizeof(NESH));
// Initialize based on configuration
uint32_t dimensions = config ? config->dimensions : DEFAULT_DIMENSIONS;
uint32_t* resolution = config ? config->resolution : DEFAULT_RESOLUTION;
// Set up waveform field
nesh->waveform_space = init_waveform_field(dimensions, resolution);
// Initialize echo system
nesh->echo_system = init_echo_system();
// Initialize retrieval system
nesh->retrieval_system = init_retrieval_system();
// Initialize embedding system
nesh->embedding_system = init_embedding_system(dimensions);
// Set up default parameters
nesh->default_echo_params = init_default_echo_params();
nesh->default_retrieval_params = init_default_retrieval_params();
return nesh;
}
// Store neural activation pattern as echo
echo_t* nesh_store_activation(NESH* nesh,
activation_pattern_t* pattern,
echo_params_t* params) {
// Use default parameters if none provided
echo_params_t* echo_params = params ? params : nesh->default_echo_params;
// Create neural echo
echo_t* echo = create_neural_echo(nesh->waveform_space, pattern, echo_params);
// Register echo with management system
register_echo(nesh->echo_system, echo);
// Store echo metadata in index
index_echo(nesh->retrieval_system, echo);
// Return echo reference
return echo;
}
// Retrieve information by resonance
retrieval_result_t* nesh_retrieve(NESH* nesh,
query_pattern_t* query,
retrieval_params_t* params) {
// Use default parameters if none provided
retrieval_params_t* retrieval_params = params ? params : nesh->default_retrieval_params;
// Perform resonant retrieval
retrieval_result_t* result = retrieve_through_resonance(
nesh->waveform_space, query, retrieval_params);
// Check if echoes need reinforcement
if (retrieval_params->reinforce_on_retrieval) {
// Reinforce each retrieved echo
for (uint32_t i = 0; i < result->count; i++) {
echo_t* echo = find_echo_by_id(nesh->echo_system, result->entries[i]->echo_id);
if (echo) {
reinforcement_params_t reinforce_params = {
.reinforcement_strength = retrieval_params->reinforcement_strength,
.full_renewal = false,
.decay_adjustment_factor = 0.9f
};
reinforce_echo(nesh->waveform_space, echo, &reinforce_params);
}
}
}
return result;
}
// Update NESH system
void nesh_update(NESH* nesh, double delta_time) {
// Update wave dynamics
update_wave_dynamics(nesh->waveform_space, delta_time);
// Update echo strengths
update_all_echoes(nesh->echo_system, nesh->waveform_space);
// Clean up expired echoes
cleanup_expired_echoes(nesh->echo_system, nesh->waveform_space);
// Perform system maintenance
perform_system_maintenance(nesh);
}
Wave Pattern Visualization
NESH includes tools for visualizing the wave patterns in the memory field:
// Visualize waveform field as 2D projection
visualization_data_t* visualize_waveform_field(waveform_field_t* field,
visualization_params_t* params) {
// Create visualization container
visualization_data_t* vis = create_visualization_data(params);
// Determine projection axes
uint32_t axis1 = params->axes[0];
uint32_t axis2 = params->axes[1];
// For each pixel in visualization
for (uint32_t y = 0; y < params->height; y++) {
for (uint32_t x = 0; x < params->width; x++) {
// Convert visualization coordinates to field coordinates
float field_x = map_range(x, 0, params->width, 0, field->resolution[axis1]);
float field_y = map_range(y, 0, params->height, 0, field->resolution[axis2]);
// Sample field at position
complex_t value = sample_field_at(field, axis1, field_x, axis2, field_y);
// Calculate color based on field value
color_t color = field_value_to_color(value, params->color_mapping);
// Set pixel in visualization
set_visualization_pixel(vis, x, y, color);
}
}
// Apply post-processing
if (params->apply_post_processing) {
apply_visualization_post_processing(vis, params->post_processing_params);
}
return vis;
}
Performance Optimization
For optimal NESH performance:
- Field Resolution: Balance between resolution and computational requirements (64-128 per dimension recommended)
- Echo Management: Regularly clean up low-strength echoes to prevent field saturation
- Update Frequency: Adjust waveform dynamics update frequency based on system demands
- Dimensional Reduction: Use dimension-specific damping to focus computational resources
- Parallel Processing: Leverage parallel computation for field updates and resonance measurements
// Optimize NESH performance
void optimize_nesh_performance(NESH* nesh, optimization_level_t level) {
// Adjust field resolution based on available resources
if (level == OPTIMIZATION_PERFORMANCE) {
// Lower resolution for better performance
resize_waveform_field(nesh->waveform_space, PERFORMANCE_RESOLUTION);
} else if (level == OPTIMIZATION_BALANCED) {
// Balanced resolution
resize_waveform_field(nesh->waveform_space, BALANCED_RESOLUTION);
} else if (level == OPTIMIZATION_QUALITY) {
// Higher resolution for better quality
resize_waveform_field(nesh->waveform_space, QUALITY_RESOLUTION);
}
// Adjust echo cleanup parameters
nesh->echo_system->cleanup_threshold = get_cleanup_threshold(level);
nesh->echo_system->cleanup_interval = get_cleanup_interval(level);
// Configure update frequency
nesh->update_interval = get_update_interval(level);
// Set dimension-specific damping
set_dimension_specific_damping(nesh->waveform_space, level);
// Configure parallel processing
if (level == OPTIMIZATION_PERFORMANCE) {
enable_parallel_processing(nesh, true);
set_parallel_processing_threads(nesh, MAX_AVAILABLE_THREADS);
} else if (level == OPTIMIZATION_BALANCED) {
enable_parallel_processing(nesh, true);
set_parallel_processing_threads(nesh, BALANCED_THREAD_COUNT);
} else {
enable_parallel_processing(nesh, false);
}
}
Integration with DragonFire Ecosystem
NESH integrates with other DragonFire components to provide neural echo storage capabilities:
NuMap Integration
NESH works with NuMap to provide complementary memory structures:
// Integrate NESH with NuMap
void integrate_with_numap(NESH* nesh, NuMap* numap) {
// Connect NESH's waveform memory to NuMap's hexagonal grid
map_hex_grid_to_waveform(numap->grid, nesh->waveform_space);
// Set up memory transfer protocols
setup_memory_transfer(numap, nesh);
// Create shared embedding space
create_shared_embedding_space(numap->embedding_system, nesh->embedding_system);
// Configure resonance patterns
configure_resonance_patterns(numap, nesh);
// Initialize hierarchical memory architecture
init_hierarchical_memory(numap, nesh);
}
Aurora AI Integration
NESH provides temporal memory capabilities for Aurora's consciousness system:
// Integrate NESH with Aurora
void integrate_with_aurora(NESH* nesh, Aurora* aurora) {
// Connect NESH as temporal memory system for Aurora
connect_nesh_to_aurora(nesh, aurora);
// Configure activation pattern transfer
setup_activation_transfer(aurora, nesh);
// Set up temporal continuity mechanisms
setup_temporal_continuity(aurora, nesh);
// Configure resonance-based memory recall
setup_resonance_recall(aurora, nesh);
// Initialize consciousness state preservation
init_consciousness_preservation(aurora, nesh);
}
ECHO 13D Integration
NESH provides waveform storage for ECHO 13D's voice processing system:
// Integrate NESH with ECHO 13D
void integrate_with_echo13d(NESH* nesh, ECHO13D* echo13d) {
// Connect NESH's waveform space to audio processing
connect_waveform_to_audio(nesh->waveform_space, echo13d->audio_processor);
// Set up voice pattern storage
setup_voice_pattern_storage(echo13d, nesh);
// Configure voice recognition mechanisms
setup_voice_recognition(echo13d, nesh);
// Initialize harmonic voice synthesis
init_harmonic_voice_synthesis(echo13d, nesh);
}
Unified Memory Framework
NESH works with other memory systems to create a unified framework:
Key Integration Insight: NESH complements NuMap's structured hex-grid memory by providing a fluid, wave-based memory medium that excels at storing temporal patterns and dynamic relationships. While NuMap offers precise semantic organization, NESH provides natural temporal decay, interference-based associations, and resonant retrieval. Together, they create a comprehensive memory architecture that combines structure with fluidity, supporting Aurora's consciousness with both organized semantic knowledge and dynamic experiential memory.
Examples
Basic NESH Usage
#include "nesh.h"
int main() {
// Initialize NESH with default configuration
NESH* nesh = nesh_init(NULL);
printf("Initialized NESH Memory Network\n");
// Create a simple activation pattern
activation_pattern_t* pattern = create_simple_activation_pattern();
printf("Created activation pattern with %d neurons\n", pattern->neuron_count);
// Store activation as echo
echo_t* echo = nesh_store_activation(nesh, pattern, NULL);
printf("Stored echo with ID %d and initial strength %.2f\n",
echo->id, echo->initial_strength);
// Update system (simulating time passing)
for (int i = 0; i < 10; i++) {
nesh_update(nesh, 0.1); // 100ms per update
}
// Create query pattern (similar to original)
query_pattern_t* query = create_similar_query_pattern(pattern, 0.8f);
// Retrieve through resonance
retrieval_result_t* result = nesh_retrieve(nesh, query, NULL);
printf("Retrieved %d results\n", result->count);
if (result->count > 0) {
printf("Top result echo ID: %d\n", result->entries[0]->echo_id);
printf("Match strength: %.2f\n", result->entries[0]->match_strength);
}
// Clean up resources
free_activation_pattern(pattern);
free_query_pattern(query);
free_retrieval_result(result);
nesh_free(nesh);
return 0;
}
Wave Pattern Manipulation
// Demonstrate wave pattern manipulation
void demonstrate_wave_patterns() {
// Initialize NESH with specific configuration
nesh_config_t config = {
.dimensions = 3,
.resolution = (uint32_t[]){64, 64, 64}
};
NESH* nesh = nesh_init(&config);
printf("Initialized NESH with 3D waveform field (64x64x64)\n");
// Create harmonic wave components
harmonic_components_t* components = create_harmonic_components(3);
add_harmonic(components, 1.0f, 5.0f, 0.0f, (vector_t){1.0f, 0.0f, 0.0f});
add_harmonic(components, 0.5f, 7.0f, PI/4, (vector_t){0.0f, 1.0f, 0.0f});
add_harmonic(components, 0.3f, 11.0f, PI/2, (vector_t){0.0f, 0.0f, 1.0f});
printf("Created harmonic components\n");
// Apply components to field
apply_harmonic_components(nesh->waveform_space, components);
printf("Applied harmonic components to field\n");
// Create interference pattern by adding second set of harmonics
harmonic_components_t* components2 = create_harmonic_components(2);
add_harmonic(components2, 0.7f, 6.0f, PI/3, (vector_t){0.7f, 0.7f, 0.0f});
add_harmonic(components2, 0.4f, 9.0f, PI/6, (vector_t){0.5f, 0.0f, 0.5f});
// Apply second set of components
apply_harmonic_components(nesh->waveform_space, components2);
printf("Applied second set of harmonics to create interference pattern\n");
// Create visualization parameters
visualization_params_t vis_params = {
.width = 800,
.height = 600,
.axes = {0, 1}, // X-Y projection
.color_mapping = COLOR_MAPPING_PHASE,
.apply_post_processing = true
};
// Create visualization
visualization_data_t* vis = visualize_waveform_field(
nesh->waveform_space, &vis_params);
printf("Created field visualization (%dx%d)\n", vis->width, vis->height);
// Save visualization to file
save_visualization_to_file(vis, "wave_pattern.png");
printf("Saved visualization to wave_pattern.png\n");
// Clean up resources
free_harmonic_components(components);
free_harmonic_components(components2);
free_visualization_data(vis);
nesh_free(nesh);
}
Temporal Memory Example
// Demonstrate temporal memory characteristics
void demonstrate_temporal_memory() {
// Initialize NESH
NESH* nesh = nesh_init(NULL);
printf("Initialized NESH for temporal memory demonstration\n");
// Create a sequence of activation patterns
const int sequence_length = 5;
activation_pattern_t* patterns[sequence_length];
echo_t* echoes[sequence_length];
// Create and store sequence of patterns
for (int i = 0; i < sequence_length; i++) {
// Create pattern with some sequential property
patterns[i] = create_sequential_pattern(i);
// Configure echo parameters with different strengths and decay rates
echo_params_t params = {
.initial_strength = 1.0f - (i * 0.1f), // Decreasing strength
.decay_rate = 0.1f + (i * 0.05f) // Increasing decay rate
};
// Store as echo
echoes[i] = nesh_store_activation(nesh, patterns[i], ¶ms);
printf("Stored pattern %d with strength %.2f and decay rate %.2f\n",
i, params.initial_strength, params.decay_rate);
}
// Simulate time passing (10 seconds, 100ms steps)
for (int t = 0; t < 100; t++) {
nesh_update(nesh, 0.1);
// Every 20 steps, check echo strengths
if (t % 20 == 0) {
printf("\nAfter %.1f seconds:\n", t * 0.1);
for (int i = 0; i < sequence_length; i++) {
printf(" Echo %d strength: %.3f\n", i, echoes[i]->current_strength);
}
}
// At t=50, reinforce one of the echoes
if (t == 50) {
printf("\nReinforcing echo 2 at t=5.0s\n");
reinforcement_params_t reinforce_params = {
.reinforcement_strength = 0.5f,
.full_renewal = true,
.decay_adjustment_factor = 0.8f
};
reinforce_echo(nesh->waveform_space, echoes[2], &reinforce_params);
}
}
// Try to retrieve using a query similar to pattern 2
query_pattern_t* query = create_similar_query_pattern(patterns[2], 0.9f);
// Set up retrieval parameters
retrieval_params_t retrieve_params = {
.threshold = 0.5f,
.max_results = 3,
.reinforce_on_retrieval = true,
.reinforcement_strength = 0.3f
};
// Perform retrieval
retrieval_result_t* result = nesh_retrieve(nesh, query, &retrieve_params);
printf("\nRetrieval results for query similar to pattern 2:\n");
for (uint32_t i = 0; i < result->count; i++) {
printf(" Result %d: Echo ID %d, Match strength %.3f\n",
i, result->entries[i]->echo_id, result->entries[i]->match_strength);
}
// Clean up resources
for (int i = 0; i < sequence_length; i++) {
free_activation_pattern(patterns[i]);
}
free_query_pattern(query);
free_retrieval_result(result);
nesh_free(nesh);
}
View more examples in our SDK Examples section or try the Interactive NESH Visualizer.
Next Steps
- Explore the complete NESH API Reference
- Download the NESH SDK
- Try the Interactive NESH Visualizer
- Learn about NuMap for semantic hex-grid memory architecture
- Explore Aurora AI for fractal consciousness with NESH integration