Sym Online
Run the main browser-based Sym interface for algebraic simplification, calculus queries, equation solving, and tensor rewrites.
SymbolicComputation.com
Connecting rigorous mathematical structure with practical symbolic tooling and modern AI workflows.
Run the main browser-based Sym interface for algebraic simplification, calculus queries, equation solving, and tensor rewrites.
Read connected pages on symbolic computation, expression trees, rewriting systems, e-graphs, and AI-assisted mathematics.
Open the graphing workspace for 2D plots, polar curves, 3D surfaces, vector fields, parametric curves, and expression-tree views powered by Sym and Plotly.
Open dedicated browser demos for exact integration, limits, matrix workflows, ODEs, recurrences, series, and inequality solving that are now exposed directly from the Sym engine.
Use browser tools for multivariable calculus, polynomial roots, recurrences, Fourier series, tensor index notation, and miniature symbolic rewriting.
Sym already contained more exact solver capability than the old browser surface suggested. The site now exposes a dedicated solver-demos shelf so users can reach integration, limits, linear algebra, ODEs, recurrences, series, and inequalities without reverse-engineering the right input shape first.
That makes the app a better fit for both direct human use and AI-assisted workflows, because the browser now mirrors more of what the actual engine can already do.
SymCLI is the command-line face of Sym, and that makes it especially useful in an AI world. A console app with a help file is often the simplest way to give coding agents exact mathematical tools without forcing every workflow into a heavier protocol.
In practice, SymCLI can act like a Skills-style tool layer for symbolic computation. An agent can call it to solve ProblemScript inputs or analyze C# mathematical code, then continue with better grounding than text-only reasoning provides.
AI is good at interpretation, strategy, and flexible interaction. Symbolic computation is good at exact transformations, exact mathematical structure, and repeatable formal work. Put together, they form a much stronger mathematical workflow than either one alone.
That is one practical path toward an AI mathematician: a capable coding agent backed by Sym and SymCLI rather than relying only on fluent but informal reasoning.
The setup can be remarkably simple. Give the coding agent SymCLI and its help file, describe the research problem, and point it at a folder where it should save notes and results. Coding agents can work with plain text research files just as easily as they work with source code.
Not every useful mathematical tool needs the full Sym engine. The site now also includes browser-based tools for gradient analysis, polynomial exploration, recurrence generation, Fourier and Taylor comparison, unification, toy rewrite systems, and tensor index notation.
These tools are meant to be useful in their own right while also making the library more concrete. A reader can move from an article into a calculation or visualization without leaving the site.