Licensed under the Apache License, Version 2.0 psychcoherence@gmail.com OR therealmichaelmaillet@gmail.com
Symbo is a hybrid symbolic–numeric reasoning system built from the ground up by deconstructing 318 classical algorithms across algebra, optimization, dynamics, and computational geometry.
Instead of adopting any algorithm wholesale, each was reduced to its atomic computational components, de-parented from its original context, and evaluated for suitability within a generative symbolic algebra architecture. These primitives were then recombined into a unified framework capable of:
- generating Taylor-manifold policy functions,
- evaluating symbolic tensors with exact semantics,
- performing Gröbner-based constraint solving with streaming output,
- conducting second-order perturbation analysis,
- producing neural-assisted approximate solutions,
- running pathfinding over symbolic energy landscapes to perform reasoning,
- and enabling browser-side inference through WASM.
The result is not a clone of existing tools, nor a traditional CAS, nor a neural network. It is a new model class: a nano-scale symbolic generative engine that can be trained, fitted, perturbed, serialized, visualized, and reasoned over — all while maintaining mathematical interpretability.
Symbo provides:
- A true n-dimensional symbolic tensor type
- A generative Taylor-expansion core
- A multi-method coefficient solver (Gröbner bases, perturbation theory, least squares)
- Arrow/MessagePack serialization for high-speed I/O
- WASM-friendly execution for browser runtimes
- Manifold-based reasoning via A* pathfinding
- Explainability through derivative trees and variable influence mapping
This repository contains the full implementation, usage examples, demos, and a high-level description of the architecture derived from the algorithmic decomposition process.
Project Authors
Damien Davison — Architect, Symbolic Systems
Michael Maillet — Architect, Computational Structures
Sacha Davison — Architect, Project Manager
Recursive AI Devs — Foundational Research Team
Symbo is part of the Recursive AI Devs model ecosystem:
- Symbo (symbolic engine)
- FortArch (encrypted container)
- Topo (topological reasoning)
- Chrono (temporal propagation engine)
- Morpho (transformational generative engine)
Support & Contribution
Issues and feature requests are welcome. Pull requests are reviewed for mathematical integrity, symbolic correctness, and architectural compatibility.
If you use Symbo in research or production, please cite and attribute the authors.
This project is licensed under the Apache License, Version 2.0, which permits:
- Commercial use
- Private modifications
- Distribution
- Patent protection
- Use in closed-source or open-source projects
Copyright 2025 Damien Davison & Michael Maillet & Sacha Davison Recursive AI Devs
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at:
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
This product includes original work by:
Damien Davison & Michael Maillet & Sacha Davison (Recursive AI Devs)
Additional details can be found in the project's LICENSE and source headers.