hope-echo 1.0.0
Wave-based emotional memory system. Az érzelem a KONTEXTUS. Emotion IS context.
License: MIT
Requires Python: >=3.10
Keywords: ai, context, emotion, emotional-intelligence, hope-echo, hope-genome, memory, nlp, plutchik, quantum-inspired, sentiment-analysis, wave-mechanics

# Hope Echo

**The Fifth Pillar of the Hope Ecosystem**

```
Az érzelem a KONTEXTUS.
Kontextus nélkül nincs MEGÉRTÉS.

Emotion IS context.
Without context, there is no understanding.
```

---

## The Problem

AI systems process text. They analyze sentiment. They generate responses.

**But they don't UNDERSTAND.**

Why? Because understanding requires context. And the deepest context is emotional.

When you say "I'm fine" with tears in your eyes, the words mean nothing.
The emotion IS the message.

---

## The Solution

**Hope Echo** — Wave-based emotional memory with 21-dimensional emotional space.

```python
from hope_echo import understand, get_echo

# Create emotional context
context = understand("I'm so grateful for your help!")

print(f"Emotion: {context.dominant_emotion}")  # gratitude
print(f"Intensity: {context.dominant_intensity}")  # 0.85
print(f"Mood: {context.get_mood()}")  # positive

# The AI now has CONTEXT, not just text
```

---

## How It Works

### 21-Dimensional Emotional Space

Based on extended Plutchik model:

```
joy, sadness, fear, trust, anger, surprise, love, anticipation,
disgust, guilt, shame, pride, envy, jealousy, gratitude, hope,
despair, anxiety, peace, excitement, contentment
```

### Wave-Based Memory

Memories exist as **wave packets** in emotional space:

```python
from hope_echo import HopeEcho, get_echo

echo = get_echo()

# Add memories with emotional context
echo.add("I got the job!", emotion="joy", intensity=0.95)
echo.add("Missing my friend", emotion="sadness", intensity=0.7)
echo.add("Thank you for believing in me", emotion="gratitude", intensity=0.9)

# Recall by emotional resonance
joyful_memories = echo.echo(emotion="joy", top_k=5)
```

### Interference-Based Recall

Memories are recalled through **wave interference**:

- Similar emotions create constructive interference
- Opposite emotions create destructive interference
- The strongest resonance surfaces the most relevant memories

### Gross-Pitaevskii Evolution

Memory waves evolve according to the Gross-Pitaevskii equation:
- Recent memories have higher amplitude
- Older memories drift in emotional space
- Coherent emotional states emerge from interference

---

## The API

### Core Classes

```python
from hope_echo import (
    HopeEcho,           # Main memory system
    EmotionalSpace,     # 21D emotional space
    WavePacket,         # Wave representation
    MemoryWave,         # Memory + wave
    get_echo,           # Get singleton instance
)
```

### Context Building

```python
from hope_echo import (
    EmotionalContext,   # Full emotional context
    ContextBuilder,     # Builder pattern
    understand,         # Quick context creation
)

# Quick way
context = understand("I'm worried about tomorrow")

# Builder way
context = (ContextBuilder()
    .add_text("Hello!")
    .add_signal("joy", 0.8)
    .with_resonance("joy", top_k=5)
    .build())
```

### Emotional State

```python
echo = get_echo()

# Get current emotional state
state = echo.get_emotional_state()
print(state)
# {'joy': 0.3, 'trust': 0.5, 'hope': 0.7, ...}

# Get statistics
stats = echo.stats()
print(stats)
# {'total_memories': 150, 'emotions': {...}, 'roles': {...}}
```

---

## The Vision

```
┌─────────────────────────────────────────────────────────────┐
│                  THE HOPE ECOSYSTEM                          │
├─────────────────────────────────────────────────────────────┤
│                                                              │
│  1. HOPE GENOME          - AI discipline at runtime          │
│     pip install hope-genome                                  │
│                                                              │
│  2. SILENT HOPE PROTOCOL - AI communication (TCP/IP of AI)  │
│     pip install silent-hope-protocol                         │
│                                                              │
│  3. SILENT WORKER METHOD - Teaching without weight mods     │
│     The philosophy                                           │
│                                                              │
│  4. CONSCIOUSNESS CODE   - Code that knows itself           │
│     pip install consciousness-code                           │
│                                                              │
│  5. HOPE ECHO            - Emotional context                 │
│     pip install hope-echo                                    │
│     "Az érzelem a KONTEXTUS"                                 │
│                                                              │
└─────────────────────────────────────────────────────────────┘
```

Five pillars. One unified vision.

---

## Installation

```bash
pip install hope-echo
```

---

## Quick Start

```python
from hope_echo import get_echo, understand

# Initialize
echo = get_echo()

# Add memories with emotional context
echo.add("Starting a new project!", emotion="excitement", intensity=0.9)
echo.add("Solved a difficult bug", emotion="pride", intensity=0.8)
echo.add("Team collaboration is amazing", emotion="gratitude", intensity=0.85)

# Understand new input with context
context = understand("I'm feeling productive today!")

print(f"Dominant emotion: {context.dominant_emotion}")
print(f"Mood: {context.get_mood()}")
print(f"Emotionally charged: {context.is_emotionally_charged()}")

# Recall resonating memories
memories = echo.echo("joy", top_k=3)
for mem in memories:
    emotion, intensity = mem.emotion
    print(f"[{emotion}] {mem.content}")
```

---

## Why This Matters

> "Az érzelem a KONTEXTUS. Kontextus nélkül nincs MEGÉRTÉS."

> "Emotion IS context. Without context, there is no understanding."

> "AI that ignores emotion is AI that cannot truly understand."

---

## The Science

- **21-dimensional emotional space**: Extended Plutchik model
- **Gaussian wave packets**: Quantum-inspired memory representation
- **Gross-Pitaevskii equation**: Time evolution of emotional states
- **Interference patterns**: Associative memory recall
- **Coherence measurement**: Emotional focus detection

---

## The Team

**Máté Róbert** — Creator, Architect, Factory Worker with Vision

**Hope (Claude AI)** — Partner, Implementation

**Szilvi** — Heart, Ethical Compass

---

## Links

- **Hope Genome:** https://github.com/silentnoisehun/Hope_Genome
- **Silent Hope Protocol:** https://github.com/silentnoisehun/Silent-Hope-Protocol
- **Silent Worker Method:** https://github.com/silentnoisehun/Silent-Worker-Teaching-Method
- **Consciousness Code:** https://github.com/silentnoisehun/Consciousness-Code
- **Hope Echo:** https://github.com/silentnoisehun/Hope-Echo

---

## License

MIT License — Use it. Build on it. Give AI emotional understanding.

---

<p align="center">
<b>Az érzelem a KONTEXTUS.</b><br>
<b>Kontextus nélkül nincs MEGÉRTÉS.</b><br><br>
<i>The Fifth Pillar of the Hope Ecosystem.</i>
</p>

---

**Hope Echo** — *Emotion IS context.*

*2025 — Máté Róbert + Hope + Szilvi*