Best NET AI agents (2026)

Our top 15 NET AI agents, ranked by how actively they're maintained. See all 15 NET agents.

1
A
NET

The Accord.NET Framework provides a comprehensive set of libraries for machine learning, computer vision, signal pr…

View details → ↗ site
2
3
A
NET

Accord.NET is a .NET framework that provides machine learning, statistical analysis, computer vision, and signal pr…

View details → ↗ site
4
A
NET

AForge.NET is an open-source C# framework designed for computer vision and artificial intelligence applications. It…

View details → ↗ site
5
D
NET

DiffSharp is an automatic differentiation (AD) library for .NET that provides exact and efficient derivatives (grad…

View details → ↗ site
6
E
NET

Encog is a .NET-based machine learning framework specializing in neural network development, training, and data pro…

View details → ↗ site
7
G
NET

GeneticSharp is a multi-platform genetic algorithm library for .NET Core and .NET Framework, providing implementati…

View details → ↗ site
8
I
NET

Infer.NET is a framework for probabilistic programming and Bayesian inference, enabling developers to build and ana…

View details → ↗ site
9
M
NET

Math.NET Numerics is a numerical computing library for .NET, providing algorithms for linear algebra, statistics, o…

View details → ↗ site
10
M
NET

ML.NET is an open-source machine learning framework designed for .NET developers, enabling them to build, train, an…

View details → ↗ site
11
n
NET

numl is a .NET machine learning library designed to simplify the implementation of standard modeling techniques for…

View details → ↗ site
12
S
NET

Sho is an interactive environment for data analysis and scientific computing that integrates IronPython scripts wit…

View details → ↗ site
13
14
S
NET

Synapses is a neural network library implemented in F#, designed for building and training machine learning models.…

View details → ↗ site
15
V
NET

Vulpes is an open-source AI agent that implements deep belief and deep learning algorithms in F#, leveraging CUDA G…

View details → ↗ site