Brain23

Hybrid Ternary Intelligence Engine

Brain23 is a high-performance, C23-native cognitive engine designed for precise code assistance. Unlike probabilistic models, Brain23 uses Ternary Logic and Entropy-based Guardrails to provide deterministic responses—it either knows the answer with confidence, or it doesn't answer at all.

Euman = ∫(optimization/time) △ performance

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Features

• Anti-Hallucination Guardrails — Entropy-based rejection of uncertain queries
• Ternary State Machine — TRUE / UNKNOWN / FALSE (no probabilistic guessing)
• Sub-millisecond Inference — O(1) keyword lookup + lightweight neural network
• Live Learning — Real-time weight updates from user feedback
• C23 Native — Built with modern C23 features (constexpr, nullptr, [[nodiscard]])

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Architecture

The AS/IS Identity Pattern

{{0 [ X (AS/.|IS) Z ] 1}}

X (Alias)    → Fuzzy natural language input
AS (Mapping) → 64-dimensional feature extraction  
IS (Identity)→ Deterministic C23 category resolution
Z (Result)   → High-integrity code output

Ternary Guardrails

State	Value	Meaning
TRUE	+1	High-confidence match. Output generated.
UNKNOWN	0	High entropy detected. Guardrail triggered.
FALSE	-1	Out of domain. Request rejected.

Knowledge Stack

┌─────────────────────────────────────────────┐
│  L4: Live Document (Wisdom)                 │  ← User feedback
├─────────────────────────────────────────────┤
│  L3: Vector KB (Logic)                      │  ← Cosine similarity
├─────────────────────────────────────────────┤
│  L2: Neural Net (Intuition)                 │  ← Pattern matching
├─────────────────────────────────────────────┤
│  L1: RAMStore (Reflex)                      │  ← O(1) hash lookup
└─────────────────────────────────────────────┘

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Quick Start

Requirements

• GCC 15+ or Clang 20+ with C23 support
• Linux/FreeBSD x86-64
• libm (math library)

Build

git clone https://github.com/opsec-ee/brain23.git
cd brain23
make

Run

# Interactive mode
./brain23

# Batch ingest training data
./brain23 ingest c23_train.txt

# Calibrate entropy threshold
./brain23 calibrate

# Run stress tests
./brain23_stress -v

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Usage

Interactive Session

brain23> malloc allocate memory

+- [T] memory (entropy=0.00, conf=85%) ---------------------+
|
|  void *p = malloc(size);
|
+-----------------------------------------------------------+
  [!g = good | !b = bad | !list memory]

brain23> template <typename T>

  [?] UNKNOWN (entropy=1.00, threshold=0.72)
      Guardrail triggered. Would you like to teach? (y/n):

Commands

Command	Description
!help	Show available commands
!good	Confirm last result was correct
!bad	Mark last result as incorrect
!learn <cat>	Teach current query with category
!stats	Display engine statistics
!calibrate	Run entropy threshold calibration
!save	Persist weights to disk
!quit	Exit

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Technical Specifications

Spec	Value
Standard	C23 (ISO/IEC 9899:202x)
Feature Dimensions	64 (AVX-512 aligned)
Categories	21 (C23 taxonomy)
NN Architecture	64 → 64 → 48 → 21
Activation	Leaky ReLU (hidden), Softmax (output)
Hash Function	MurmurHash3-style (collision-resistant)
RAMStore Size	1024 slots
Memory Footprint	< 2MB (excluding KB strings)

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Project Structure

brain23/
├── brain23.h           # Public API and data structures
├── brain23.c           # Core implementation
├── brain23_main.c      # Interactive CLI
├── brain23_stress.c    # Test suite
├── euman_dev_rt_rtka.h # Ternary logic (RTKA) primitives
├── c23_train.txt       # Training data
└── Makefile

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Training Data Format

# Format: query|category|snippet
allocate memory|memory|void *p = malloc(size);
atomic increment|atomic|atomic_fetch_add(&counter, 1);
checked add|security|if (ckd_add(&result, a, b)) { /* overflow */ }

Categories

0:types       1:nullptr     2:constexpr   3:typeof      4:attributes
5:embed       6:memory      7:pointers    8:atomic      9:threads
10:static_assert  11:generic  12:struct   13:function   14:preprocessor
15:io         16:strings    17:security   18:error      19:bitwise
20:math

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Compliance

NIST 800-53 Controls

Control	Description	Implementation
SI-10	Input Validation	Entropy-based query rejection
SI-16	Memory Protection	Allocation failure checks
AU-2	Audit Events	Learning event logging
AC-3	Access Enforcement	Ternary state gating

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API Reference

/* Initialize engine */
bool brain23_init(const char *weights_path, const char *kb_path);

/* Core inference */
brain23_state_t brain23_infer(const char *query, 
                              char *out_snippet, 
                              size_t snip_len);

/* Learning */
void brain23_learn(const char *query, int category, const char *snippet);
void brain23_feedback_good(void);
void brain23_feedback_bad(int correct_idx);

/* Calibration */
brain23_calibration_t brain23_calibrate(const char *train_file);
void brain23_apply_calibration(brain23_calibration_t *cal);

/* Persistence */
bool brain23_save(void);
bool brain23_load(void);

/* Cleanup */
void brain23_shutdown(void);

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Test Results

BRAIN23 STRESS TEST v1.0.2
+---------------------------------------------------------------+
| RESULTS: 18/18 passed (100.0%)                                |
+---------------------------------------------------------------+

C23 DISCERNMENT SUITE  
+---------------------------------------------------------------+
| DISCERNMENT: 5/5 passed                                       |
+---------------------------------------------------------------+

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License

Copyright (c) 2025 H. Overman. All rights reserved.

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Acknowledgments

• RTKA (Runtime Kleene Algebra) based on three-valued Kleene logic
• Part of the Euman Programming Language ecosystem