reasonforge 0.1.1

Core symbolic computation library for ReasonForge - 100% accuracy mathematical reasoning

ReasonForge Core Library

Standalone symbolic computation library for mathematical reasoning

ReasonForge is a pure Python library that provides symbolic mathematical computation using SymPy. It serves as the core computation engine for all ReasonForge MCP servers.

Features

• Deterministic: Exact symbolic computation using SymPy
• Complete State Management: Variables, expressions, matrices, quantum states
• Advanced Mathematics: Calculus, algebra, optimization, pattern recognition
• Pure Python: No MCP dependencies, use anywhere
• Well-Tested: Foundation for 462 passing tests across MCP servers

Installation

pip install reasonforge

Quick Start

from reasonforge import SymbolicAI

# Create symbolic AI instance
ai = SymbolicAI()

# Define variables
x, y = ai.define_variables(['x', 'y'])

# Solve equations
result = ai.solve_equation_system([
    x**2 + y**2 - 25,  # Circle
    x + y - 7           # Line
])

print(result['solutions'])
# [{'x': 3, 'y': 4}, {'x': 4, 'y': 3}]

Core Capabilities

Equation Solving

ai.solve_equation_system([x**2 - 5*x + 6], [x])

Calculus Operations

ai.perform_calculus("sin(x)*cos(x)", "x", operation="diff")
ai.perform_calculus("x**2", "x", operation="integrate")

Optimization

ai.optimize_function("x**2 + y**2", variables=[x, y])

Pattern Recognition

ai.pattern_recognition([1, 4, 9, 16, 25])  # Recognizes n^2 pattern

Matrix Operations

ai.matrix_operations([[[1, 2], [3, 4]]], operation="eigenvalues")

Logical Reasoning

ai.logical_reasoning(["A -> B", "A"], conclusion="B")

State Management

The SymbolicAI class maintains state for:

• Variables: Symbolic variables with assumptions
• Expressions: Named expressions with auto-incrementing keys
• Functions: Function symbols for differential equations
• Matrices: Matrix objects with keys
• Metrics: Tensor/metric objects for general relativity
• Coordinate Systems: Vector calculus coordinate systems
• Quantum States: Quantum state vectors and density matrices

Dependencies

• sympy>=1.12 - Symbolic mathematics
• numpy>=1.24.0 - Numerical operations
• matplotlib>=3.7.0 - Visualization

Used By

ReasonForge core library is used by:

• reasonforge-expressions - Essential symbolic manipulation
• reasonforge-algebra - Algebraic operations
• reasonforge-analysis - Advanced calculus
• reasonforge-geometry - Vector/tensor calculus
• reasonforge-statistics - Probability & statistics
• reasonforge-physics - Physics & quantum computing
• reasonforge-logic - Symbolic reasoning & logic

License

MIT License - See LICENSE file for details

Citation

@software{reasonforge_core,
  title = {ReasonForge: Core Symbolic Computation Library},
  author = {Derek Fox},
  year = {2025},
  description = {Standalone Python library for exact symbolic mathematical reasoning},
  url = {https://github.com/foxintheloop/ReasonForge}
}