🧠 Thinking Engine

Transparent Cognitive AI Framework
The ethical alternative to PyTorch & TensorFlow, and Transformers with human-readable AI models

🚀 Get Started on GitHub 📊 Compare Frameworks

Why Choose Thinking Engine?

🤖 PyTorch/TensorFlow

❌ Binary model files (opaque)
❌ Limited user customization
❌ Post-hoc explainability only
❌ Complex deployment setup
❌ Gradient descent learning

🧠 Thinking Engine

✅ JSON model files (human-readable)
✅ Direct model surgery
✅ Complete transparency
✅ Built-in API server
✅ Biological learning

🎯 Key Advantages

🔍 Inspect AI "brain" directly
✏️ Edit personality & knowledge
🤝 Human-AI collaboration
🔒 Integrity verification
🚀 Multi-agent intelligence

🧠 Thinking Engine System Architecture

Thinking Engine Architecture:
├── Cortex (Reasoning & Decision Making)
├── Multi-Agent System
│   ├── Web Agent (Research & Analysis)
│   ├── Code Agent (Execution & Analysis)
│   ├── File Agent (I/O Operations)
│   └── Reasoning Agent (Logic & Planning)
├── Memory System (Experience Storage)
├── Learning Manager (Adaptive Updates)
└── Sparse Synaptic Network (Computation)

🧠 Cortex

Central reasoning engine coordinating all agents and managing cognitive processes

🤖 Multi-Agent

Specialized agents for web research, code execution, file operations, and logical reasoning

🧬 Biological Learning

Experience-based learning with synaptic plasticity and neural evolution

🔍 Transparency

JSON-based model persistence enabling direct human inspection and modification

🧬 Revolutionary Biological Learning Results

Metal GPU Performance

90.87%

Accuracy with 2.46s training time

Apple Silicon MPS

74.93%

Accuracy with 3.63s training time

CPU Baseline

56.98%

Accuracy with 8.80s training time

Multi-Platform Training Comparison

Comparative analysis showing hardware-adaptive performance across all backends with biological learning mechanisms

🚀 2-3x Hardware Utilization

Biological algorithms extract maximum performance from each hardware backend

🧬 Real-Time Evolution

Live neuron weight tracking and population dynamics monitoring

🔬 Research Superiority

Surpasses traditional gradient descent with empirical evidence

🔍 Full Transparency

Unlike traditional frameworks, Thinking Engine uses JSON for model persistence. You can literally read and edit your AI's "brain" with any text editor.

{
  "cortex": {
    "personality": "helpful and analytical",
    "learned_patterns": ["python", "math", "logic"]
  },
  "memory": {
    "experiences": [
      {"input": "hello", "output": "Hi! How can I help?"}
    ]
  }
}
                

🎛️ Model Surgery

Directly modify AI behavior without retraining. Change personality, add knowledge, customize responses - all in real-time.

Use Cases:

Create custom AI personalities
Add domain-specific knowledge
Fine-tune responses instantly
Ethical AI customization

🤖 Multi-Agent Intelligence

Specialized agents work together for comprehensive AI capabilities:

Web Agent: Research & content analysis
Code Agent: Programming assistance
File Agent: Secure file operations
Reasoning Agent: Logic & planning

🚀 Production Ready

Built-in features for real-world deployment:

REST API server included
Model compression & security
Integrity verification
Scalable architecture
Experience-based learning

95%

Mathematical Computation Accuracy

92%

Python Code Education Quality

0.8s

Average Response Time

1.2MB

Model Size (vs 750MB PyTorch)

🚀 Quick Start

Installation

git clone https://github.com/reach-Harishapc/thinking-engine.git
cd thinking-engine
pip install -r requirements.txt
                    

Basic Usage

from run_model import ThinkingModelInterface

model = ThinkingModelInterface()
response = model.think("What is 2+5?")
print(response)
# Output: The addition of 2 + 5 equals 7...
                    

🌟 Join the Transparent AI Revolution

Thinking Engine represents a paradigm shift in AI development - moving from opaque, uncontrollable systems to transparent, user-empowerable AI.

🚀 Explore on GitHub 📄 View Research Paper (PDF)

Created by Harisha P C • Data Scientist & AI Researcher
Apache 2.0 License • Open Source • Transparent AI for Everyone