Alternatives

MINERVA alternatives for AI agents.

Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.

Current skill

MINERVA

Meandering In Networks of Entities to Reach Verisimilar Answers

51
Quality
71
Trust
322
Stars
#1

Nltk

Similarity 148Trust 92Excellent 100

NLTK Source

15K starsJun 11, 2026 pushml-automationPythonMachine Learning
$ npx skills add nltk/nltk
#2

Pytorch Lightning

Similarity 141Trust 93Excellent 100

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

31K starsJun 10, 2026 pushml-automationPythonMachine Learning
$ npx skills add Lightning-AI/pytorch-lightning
#3

Vision

Similarity 140Trust 92Excellent 100

Datasets, Transforms and Models specific to Computer Vision

18K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add pytorch/vision
#4

Stable Baselines3

Similarity 140Trust 93Excellent 100

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

13K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add DLR-RM/stable-baselines3
#5

Optuna

Similarity 140Trust 92Excellent 100

A hyperparameter optimization framework

14K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add optuna/optuna
#6

ChatterBot

Similarity 140Trust 91Excellent 100

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

14K starsMar 24, 2026 pushml-automationPythonMachine Learning
$ npx skills add gunthercox/ChatterBot
#7

Darts

Similarity 139Trust 92Excellent 100

A python library for user-friendly forecasting and anomaly detection on time series.

9.4K starsJun 6, 2026 pushml-automationPythonMachine Learning
$ npx skills add unit8co/darts
#8

Bitsandbytes

Similarity 139Trust 90Excellent 100

Accessible large language models via k-bit quantization for PyTorch.

8.3K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add bitsandbytes-foundation/bitsandbytes
#9

Umap

Similarity 139Trust 90Excellent 100

Uniform Manifold Approximation and Projection

8.2K starsJun 6, 2026 pushml-automationPythonMachine Learning
$ npx skills add lmcinnes/umap
#10

Librephotos

Similarity 139Trust 90Excellent 100

A self-hosted open source photo management service.

8.0K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add LibrePhotos/librephotos
#11

Stanza

Similarity 138Trust 89Excellent 100

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

7.8K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add stanfordnlp/stanza
#12

TabPFN

Similarity 138Trust 87Excellent 100

⚡ TabPFN: Foundation Model for Tabular Data ⚡

7.4K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add PriorLabs/TabPFN
#13

Resume Matcher

Similarity 135Trust 93Excellent 100

Improve your resumes with Resume Matcher. Get insights, keyword suggestions and tune your resumes to job descriptions.

27K starsJun 14, 2026 pushml-automationTypeScriptMachine Learning
$ npx skills add srbhr/Resume-Matcher
#14

Agent Lightning

Similarity 134Trust 90Excellent 100

The absolute trainer to light up AI agents.

17K starsApr 29, 2026 pushml-automationPythonMLOps
$ npx skills add microsoft/agent-lightning
#15

Keras

Similarity 133Trust 92Excellent 100

Deep Learning for humans

64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras
#16

Pytorch

Similarity 133Trust 88Excellent 100

Tensors and Dynamic neural networks in Python with strong GPU acceleration

101K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add pytorch/pytorch

How to choose

When should you switch?

Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep MINERVA if it already passes your workflow test and repository review.

Next step

Compare top candidates side by side

Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.