Best AI tools for< Run Tests >

Momentic is an AI testing tool that offers automated AI testing for software applications. It streamlines regression testing, production monitoring, and UI automation, making test automation easy with its AI capabilities. Momentic is designed to be simple to set up, easy to maintain, and accelerates team productivity by creating and deploying tests faster with its intuitive low-code editor. The tool adapts to applications, saves time with automated test maintenance, and allows testing anywhere, anytime using cloud, local, or CI/CD pipelines.

Octomind is an agent-powered test automation platform designed for large web applications. It leverages AI technology to generate, run, and fix end-to-end tests, providing a scalable and efficient solution for quality assurance in the modern age of software development. Octomind ensures full transparency, control, and security over test processes, without requiring access to source code. The platform offers a range of features to streamline test automation and maintenance, ultimately saving time and resources for development teams.

Momentic is a purpose-built AI tool for modern software testing, offering automation for E2E, UI, API, and accessibility testing. It leverages AI to streamline testing processes, from element identification to test generation, helping users shorten development cycles and enhance productivity. With an intuitive editor and the ability to describe elements in plain English, Momentic simplifies test creation and execution. It supports local testing without the need for a public URL, smart waiting for in-flight requests, and integration with CI/CD pipelines. Momentic is trusted by numerous companies for its efficiency in writing and maintaining end-to-end tests.

Carbonate is an AI-driven automated end-to-end testing tool that allows users to create auto-healing tests without any coding. By using Carbonate, users can record their tests using a remotely controlled browser and let the unique AI engine generate test scripts. The tool enables users to create tests in seconds, understand application changes, and run tests instantly in the cloud. Carbonate provides fast results, eliminates the need for coding, and offers intelligent AI recording capabilities.

Langtail is a platform that helps developers build, test, and deploy AI-powered applications. It provides a suite of tools to help developers debug prompts, run tests, and monitor the performance of their AI models. Langtail also offers a community forum where developers can share tips and tricks, and get help from other users.

Sofy is a revolutionary no-code testing platform for mobile applications that integrates AI to streamline the testing process. It offers features such as manual and ad-hoc testing, no-code automation, AI-powered test case generation, and real device testing. Sofy helps app development teams achieve high-quality releases by simplifying test maintenance and ensuring continuous precision. With a focus on efficiency and user experience, Sofy is trusted by top industries for its all-in-one testing solution.

Rainforest QA is an AI-powered test automation platform designed for SaaS startups to streamline and accelerate their testing processes. It offers AI-accelerated testing, no-code test automation, and expert QA services to help teams achieve reliable test coverage and faster release cycles. Rainforest QA's platform integrates with popular tools, provides detailed insights for easy debugging, and ensures visual-first testing for a seamless user experience. With a focus on automating end-to-end tests, Rainforest QA aims to eliminate QA bottlenecks and help teams ship bug-free code with confidence.

QA Wolf is an AI-native service that delivers 80% automated end-to-end test coverage for web and mobile apps in weeks, not years. It automates hundreds of tests using Playwright code for web and Appium for mobile, providing reliable test results on every run. With features like 100% parallel run infrastructure, zero flake guarantee, and unlimited test runs, QA Wolf aims to help software teams ship better software faster by taking QA completely off their plate.

PromptPoint Playground is an AI tool designed to help users design, test, and deploy prompts quickly and efficiently. It enables teams to create high-quality LLM outputs through automatic testing and evaluation. The platform allows users to make non-deterministic prompts predictable, organize prompt configurations, run automated tests, and monitor usage. With a focus on collaboration and accessibility, PromptPoint Playground empowers both technical and non-technical users to leverage the power of large language models for prompt engineering.

OptiMonk is a conversion optimization toolset tailored for busy marketers, empowering you to boost sales through website personalization, popups and A/B testing. It offers a range of features including pre-designed templates, actionable CRO tactics, and integrations with popular marketing tools. OptiMonk's AI-powered capabilities enable users to create personalized popups, product descriptions, and A/B tests to maximize conversions.

CroPilot is an AI-powered website optimization tool that helps businesses increase conversions and improve user experience. It offers a range of features including audience targeting, goal-oriented optimization, AI-driven insights, heatmap analysis, automated analytics reporting, and A/B testing. CroPilot is easy to use and integrates seamlessly with popular platforms like WordPress, WooCommerce, and Shopify. It is suitable for businesses of all sizes and can complement existing optimization tools.

More Views AI is an AI tool designed to help YouTube content creators increase their view count by testing different video settings. The tool uses artificial intelligence to analyze video titles, suggest variations, and run A/B tests to determine the best-performing title. It offers features such as automatic A/B toggling, performance tracking, views optimization, AI-generated title suggestions, and thumbnail testing. Users can connect their YouTube account, set up experiments in seconds, and let the algorithm optimize their video titles to attract more views.

Reflect is an AI-powered test automation tool that revolutionizes the way end-to-end tests are created, executed, and maintained. By leveraging Generative AI, Reflect eliminates the need for manual coding and provides a seamless testing experience. The tool offers features such as no-code test automation, visual testing, API testing, cross-browser testing, and more. Reflect aims to help companies increase software quality by accelerating testing processes and ensuring test adaptability over time.

Functionize is an AI-powered test automation platform that helps enterprises improve their product quality and release faster. It uses machine learning to automate test creation, maintenance, and execution, and provides a range of features to help teams collaborate and manage their testing process. Functionize integrates with popular CI/CD tools and DevOps pipelines, and offers a range of pricing options to suit different needs.

HowsThisGoing is an AI-powered application designed to streamline team communication and productivity by enabling users to set up standups in Slack within seconds. The platform offers features such as automatic standups, AI summaries, custom tests, analytics & reporting, and workflow scheduling. Users can easily create workflows, generate AI reports, and track team performance efficiently. HowsThisGoing provides unlimited benefits at a flat price, making it a cost-effective solution for teams of all sizes.

Robin by Mobile.dev is an AI-powered mobile app testing tool that allows users to test their mobile apps with confidence. It offers a simple yet powerful open-source framework called Maestro for testing mobile apps at high speed. With intuitive and reliable testing powered by AI, users can write rock-solid tests without extensive coding knowledge. Robin provides an end-to-end testing strategy, rapid testing across various devices and operating systems, and auto-healing of test flows using state-of-the-art AI models.

SWE Kit is an open-source headless IDE designed for building custom coding agents with state-of-the-art performance. It offers AI-native tools to streamline the coding review process, enhance code quality, and optimize development efficiency. The application supports various agentic frameworks and LLM inference providers, providing a flexible runtime environment for seamless codebase interaction. With features like code analysis, code indexing, and third-party service integrations, SWE Kit empowers developers to create and run coding agents effortlessly.

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Devath is the world's first AI-powered SmartHome platform that revolutionizes the way users interact with their smart devices. It eliminates the need for writing extensive lines of code by allowing users to simply give instructions to the AI for seamless device control. With features like splash resistance and responsive design, Devath offers a user-friendly experience for managing smart home functionalities. The platform also enables developers to preview and test their apps before submission, providing a 99% faster publishing process. Devath is continuously evolving with user feedback and aims to enhance the SmartHome experience through AI copilots and customizable features. With Devath, users can control their devices from the web and enjoy free unlimited access to the AI era of SmartHome.

Lumora is an AI tool designed to help users efficiently manage, optimize, and test prompts for various AI platforms. It offers features such as prompt organization, enhancement, testing, and development. Lumora aims to improve prompt outcomes and streamline prompt management for teams, providing a user-friendly interface and a playground for experimentation. The tool also integrates with various AI models for text, image, and video generation, allowing users to optimize prompts for better results.

Dash AI is an open-source coding assistant for Flutter developers. It is designed to not only write code but also run and debug it, allowing it to assist beyond code completion and automate routine tasks. Dash AI is powered by Gemini, integrated with the Dart Analyzer, and specifically tailored for Flutter engineers. The vision for Dash AI is to create a single-command assistant that can automate tedious development tasks, enabling developers to focus on creativity and innovation. It aims to assist with the entire process of engineering a feature for an app, from breaking down the task into steps to generating exploratory tests and iterating on the code until the feature is complete. To achieve this vision, Dash AI is working on providing LLMs with the same access and information that human developers have, including full contextual knowledge, the latest syntax and dependencies data, and the ability to write, run, and debug code. Dash AI welcomes contributions from the community, including feature requests, issue fixes, and participation in discussions. The project is committed to building a coding assistant that empowers all Flutter developers.

Ollama4j is a Java library that serves as a wrapper or binding for the Ollama server. It facilitates communication with the Ollama server and provides models for deployment. The tool requires Java 11 or higher and can be installed locally or via Docker. Users can integrate Ollama4j into Maven projects by adding the specified dependency. The tool offers API specifications and supports various development tasks such as building, running unit tests, and integration tests. Releases are automated through GitHub Actions CI workflow. Areas of improvement include adhering to Java naming conventions, updating deprecated code, implementing logging, using lombok, and enhancing request body creation. Contributions to the project are encouraged, whether reporting bugs, suggesting enhancements, or contributing code.

The crewAI Tools repository provides a guide for setting up tools for crewAI agents, enabling the creation of custom tools to enhance AI solutions. Tools play a crucial role in improving agent functionality. The guide explains how to equip agents with a range of tools and how to create new tools. Tools are designed to return strings for generating responses. There are two main methods for creating tools: subclassing BaseTool and using the tool decorator. Contributions to the toolset are encouraged, and the development setup includes steps for installing dependencies, activating the virtual environment, setting up pre-commit hooks, running tests, static type checking, packaging, and local installation. Enhance AI agent capabilities with advanced tooling.

Lightning Lab is a public template for artificial intelligence and machine learning research projects using Lightning AI's PyTorch Lightning. It provides a structured project layout with modules for command line interface, experiment utilities, Lightning Module and Trainer, data acquisition and preprocessing, model serving APIs, project configurations, training checkpoints, technical documentation, logs, notebooks for data analysis, requirements management, testing, and packaging. The template simplifies the setup of deep learning projects and offers extras for different domains like vision, text, audio, reinforcement learning, and forecasting.

Magic_Words is a repository containing code for the paper 'What's the Magic Word? A Control Theory of LLM Prompting'. It implements greedy back generation and greedy coordinate gradient (GCG) to find optimal control prompts (magic words). Users can set up a virtual environment, install the package and dependencies, and run example scripts for pointwise control and optimizing prompts for datasets. The repository provides scripts for finding optimal control prompts for question-answer pairs and dataset optimization using the GCG algorithm.

This repository contains separate packages for Grafana LLM Plugin and the @grafana/llm package for interfacing with it. The packages are tightly coupled and developed together with identical dependencies. The repository provides instructions for developing the packages, including backend and frontend development, testing, and release processes.

This repository provides a guide for setting up tools for crewAI agents to enhance functionality. It offers steps to equip agents with ready-to-use tools and create custom ones. Tools are expected to return strings for generating responses. Users can create tools by subclassing BaseTool or using the tool decorator. Contributions are welcome to enrich the toolset, and guidelines are provided for contributing. The development setup includes installing dependencies, activating virtual environment, setting up pre-commit hooks, running tests, static type checking, packaging, and local installation. The goal is to empower AI solutions through advanced tooling.

Sublayer is a model-agnostic Ruby AI Agent framework that provides base classes for building Generators, Actions, Tasks, and Agents to create AI-powered applications in Ruby. It supports various AI models and providers, such as OpenAI, Gemini, and Claude. Generators generate specific outputs, Actions perform operations, Agents are autonomous entities for tasks or monitoring, and Triggers decide when Agents are activated. The framework offers sample Generators and usage examples for building AI applications.

The Neo4j GraphRAG package for Python is an official repository that provides features for creating and managing vector indexes in Neo4j databases. It aims to offer developers a reliable package with long-term commitment, maintenance, and fast feature updates. The package supports various Python versions and includes functionalities for creating vector indexes, populating them, and performing similarity searches. It also provides guidelines for installation, examples, and development processes such as installing dependencies, making changes, and running tests.

ZML is a high-performance AI inference stack built for production, using Zig language, MLIR, and Bazel. It allows users to create exciting AI projects, run pre-packaged models like MNIST, TinyLlama, OpenLLama, and Meta Llama, and compile models for accelerator runtimes. Users can also run tests, explore examples, and contribute to the project. ZML is licensed under the Apache 2.0 license.

Partial JSON Parser is a lightweight and customizable library for parsing partial JSON strings. It allows users to parse incomplete JSON data and stream it to the user. The library provides options to specify what types of partialness are allowed during parsing, such as strings, objects, arrays, special values, and more. It helps handle malformed JSON and returns the parsed JavaScript value. Partial JSON Parser is implemented purely in JavaScript and offers both commonjs and esm builds.

Shortest is a project for local development that helps set up environment variables and services for a web application. It provides a guide for setting up Node.js and pnpm dependencies, configuring services like Clerk, Vercel Postgres, Anthropic, Stripe, and GitHub OAuth, and running the application and tests locally.

MFLUX is a line-by-line port of the FLUX implementation in the Huggingface Diffusers library to Apple MLX. It aims to run powerful FLUX models from Black Forest Labs locally on Mac machines. The codebase is minimal and explicit, prioritizing readability over generality and performance. Models are implemented from scratch in MLX, with tokenizers from the Huggingface Transformers library. Dependencies include Numpy and Pillow for image post-processing. Installation can be done using `uv tool` or classic virtual environment setup. Command-line arguments allow for image generation with specified models, prompts, and optional parameters. Quantization options for speed and memory reduction are available. LoRA adapters can be loaded for fine-tuning image generation. Controlnet support provides more control over image generation with reference images. Current limitations include generating images one by one, lack of support for negative prompts, and some LoRA adapters not working.

wcgw is a shell and coding agent designed for Claude and Chatgpt. It provides full shell access with no restrictions, desktop control on Claude for screen capture and control, interactive command handling, large file editing, and REPL support. Users can use wcgw to create, execute, and iterate on tasks, such as solving problems with Python, finding code instances, setting up projects, creating web apps, editing large files, and running server commands. Additionally, wcgw supports computer use on Docker containers for desktop control. The tool can be extended with a VS Code extension for pasting context on Claude app and integrates with Chatgpt for custom GPT interactions.

Shortest is an AI-powered natural language end-to-end testing framework built on Playwright. It provides a seamless testing experience by allowing users to write tests in natural language and execute them using Anthropic Claude API. The framework also offers GitHub integration with 2FA support, making it suitable for testing web applications with complex authentication flows. Shortest simplifies the testing process by enabling users to run tests locally or in CI/CD pipelines, ensuring the reliability and efficiency of web applications.

Evalite is a TypeScript-native, local-first tool designed for testing LLM-powered apps. It allows users to view documentation and join a Discord community. To contribute, users need to create a .env file with an OPENAI_API_KEY, run the dev command to check types, run tests, and start the UI dev server. Additionally, users can run 'evalite watch' on examples in the 'packages/example' directory. Note that running 'pnpm build' in the root and 'npm link' in 'packages/evalite' may be necessary for the global 'evalite' command to work.

The `repo-to-text` tool converts a directory's structure and contents into a single text file. It generates a formatted text representation that includes the directory tree and file contents, making it easy to share code with LLMs for development and debugging. Users can customize the tool's behavior with various options and settings, including output directory specification, debug logging, and file inclusion/exclusion rules. The tool supports Docker usage for containerized environments and provides detailed instructions for installation, usage, settings configuration, and contribution guidelines. It is a versatile tool for converting repository contents into text format for easy sharing and documentation.

Seer is a service that provides AI capabilities to Sentry by running inference on Sentry issues and providing user insights. It is currently in early development and not yet compatible with self-hosted Sentry instances. The tool requires access to internal Sentry resources and is intended for internal Sentry employees. Users can set up the environment, download model artifacts, integrate with local Sentry, run evaluations for Autofix AI agent, and deploy to a sandbox staging environment. Development commands include applying database migrations, creating new migrations, running tests, and more. The tool also supports VCRs for recording and replaying HTTP requests.

Arbigent (Arbiter-Agent) is an AI agent testing framework designed to make AI agent testing practical for modern applications. It addresses challenges faced by traditional UI testing frameworks and AI agents by breaking down complex tasks into smaller, dependent scenarios. The framework is customizable for various AI providers, operating systems, and form factors, empowering users with extensive customization capabilities. Arbigent offers an intuitive UI for scenario creation and a powerful code interface for seamless test execution. It supports multiple form factors, optimizes UI for AI interaction, and is cost-effective by utilizing models like GPT-4o mini. With a flexible code interface and open-source nature, Arbigent aims to revolutionize AI agent testing in modern applications.

This repository contains core sources related to Robotics & AI. It serves as a submodule in integrated projects, providing a minimal Ubuntu-specific build system and development tests. The code originated around 2004 in Edinburgh and has grown over the years to encompass various functionalities for Robotics, ML, and AI. Users are advised to explore example projects using this bare code for a better understanding of its capabilities.

This repository provides resources for building a chatbot backed by Neo4j using Python. It includes instructions on running the application, setting up tests, and installing necessary libraries. The chatbot is designed to interact with users and provide recommendations based on data stored in a Neo4j database. The repository is part of the Neo4j GraphAcademy course on building chatbots with Python.

An LLM-powered code generation tool that relies on the built-in Node.js API Typescript Template Project to easily generate clean, well-structured CRUD module code from text description. It orchestrates 3 LLM micro-agents (`Developer`, `Troubleshooter` and `TestsFixer`) to generate code, fix compilation errors, and ensure passing E2E tests. The process includes module code generation, DB migration creation, seeding data, and running tests to validate output. By cycling through these steps, it guarantees consistent and production-ready CRUD code aligned with vertical slicing architecture.

ANON KODE is a terminal-based AI coding tool that utilizes any model supporting the OpenAI-style API. It helps in fixing spaghetti code, explaining function behavior, running tests and shell commands, and more based on the model used. Users can easily set up models, submit bugs, and ensure data privacy with no telemetry or backend servers other than chosen AI providers.

JetStream is a throughput and memory optimized engine for Large Language Model (LLM) inference on XLA devices, specifically TPUs. It provides reference engine implementations for Jax and Pytorch models, along with documentation for online inference, serving Gemma using TPUs on GKE, benchmarking, observability, profiling, and standalone local setup. Users can easily set up a local server, run tests, and test core modules. JetStream aims to enhance the performance of LLM inference on XLA devices.

LLMs in Production is a repository for the book with Manning Publications, containing chapter listings and setup instructions. It provides environments for each chapter, linters, formatters, and tests. The scripts are designed to be run from the project root.

The MCP Java SDK is a set of projects that provide Java SDK integration for the Model Context Protocol. It enables Java applications to interact with AI models and tools through a standardized interface, supporting both synchronous and asynchronous communication patterns.

MCP Unity is an implementation of the Model Context Protocol for Unity Editor, enabling AI assistants like Claude, Windsurf, and Cursor to interact with Unity projects. It provides tools to execute Unity menu items, select game objects, manage packages, run tests, and display messages in the Unity Editor. The package bridges Unity with a Node.js server implementing the MCP protocol, offering resources to retrieve menu items, game objects, console logs, packages, assets, and tests. Requirements include Unity 2022.3 or later, Node.js 18 or later for the server, and npm 9 or later for building. Installation involves adding the Unity MCP Server package via Unity Package Manager and installing Node.js. Configuration settings for AI clients like Cursor IDE, Claude Desktop, and Windsurf IDE are provided. Running the server requires starting the Node.js server and Unity Editor MCP Server. Debugging and troubleshooting guidelines are included for server issues. Contributions are welcome under the MIT license.

The MCP LLM Bridge is a tool that acts as a bridge connecting Model Context Protocol (MCP) servers to OpenAI-compatible LLMs. It provides a bidirectional protocol translation layer between MCP and OpenAI's function-calling interface, enabling any OpenAI-compatible language model to leverage MCP-compliant tools through a standardized interface. The tool supports primary integration with the OpenAI API and offers additional compatibility for local endpoints that implement the OpenAI API specification. Users can configure the tool for different endpoints and models, facilitating the execution of complex queries and tasks using cloud-based or local models like Ollama and LM Studio.

Starter Monorepo is a template repository for setting up a monorepo structure in your project. It provides a basic setup with configurations for managing multiple packages within a single repository. This template includes tools for package management, versioning, testing, and deployment. By using this template, you can streamline your development process, improve code sharing, and simplify dependency management across your project. Whether you are working on a small project or a large-scale application, Starter Monorepo can help you organize your codebase efficiently and enhance collaboration among team members.

TT-Forge is Tenstorrent's MLIR-based compiler that integrates into various compiler technologies from AI/ML frameworks to enable running models and custom kernel generation. It aims to provide abstraction of different frontend frameworks, compile various model architectures with good performance, and abstract all Tenstorrent device architectures. The repository serves as the central hub for the tt-forge compiler project, bringing together sub-projects into a cohesive product with releases, demos, model support, roadmaps, and key resources. Users can explore the documentation for individual front ends to get started running tests and demos.

Shinkai Node is a tool that enables users to create AI agents without coding. Users can define tasks, schedule actions, and let Shinkai generate custom code. The tool also provides native crypto support. It has a companion repo called Shinkai Apps for the frontend. The tool offers easy local compilation and OpenAPI support for generating schemas and Swagger UI. Users can run tests and dockerized tests for the tool. It also provides guidance on releasing a new version.

OCode is a sophisticated terminal-native AI coding assistant that provides deep codebase intelligence and autonomous task execution. It seamlessly works with local Ollama models, bringing enterprise-grade AI assistance directly to your development workflow. OCode offers core capabilities such as terminal-native workflow, deep codebase intelligence, autonomous task execution, direct Ollama integration, and an extensible plugin layer. It can perform tasks like code generation & modification, project understanding, development automation, data processing, system operations, and interactive operations. The tool includes specialized tools for file operations, text processing, data processing, system operations, development tools, and integration. OCode enhances conversation parsing, offers smart tool selection, and provides performance improvements for coding tasks.

Assistant polyglotte pour tests unitaires avec MochaJS

Assistant multilingue pour Jest

Explains Flutter-tools for Neovim, focusing on basics and troubleshooting.

Formal, concise Angular 2 test guide.

Run Golang code in ChatGPT

run the embedded code

Run mock interviews, review content and get tips to ace strategy consulting and investment banking interviews

I help create and run productive design thinking sessions.

Download and Run Open Source LLMs Locally.

Your new DM's screen: helping Dungeon Masters to craft & run amazing D&D adventures.

Hosts a real SQLite database and helps you create tables, make schema changes, and run SQL queries, ideal for all levels of database administration.

Meet the Restaurant Startup Guide GPT: your friendly guide in the restaurant biz. It offers casual, approachable advice to help you start and run your own restaurant with ease.

A community-building GPT based on the wildly popular Community Design™ framework from Mighty Networks. Start creating communities that run themselves.

Friendly web assistant for efficient code. Ask the wizard to create an application and you will get the HTML, CSS and Javascript code ready to run your web application.

Find trails that fit your nature for your next hike, ride, or run.

I'm your brainstorm muse in marketing and advertising; the creativity machine you need to sharpen the skills, land the job, generate the ideas, win the pitches, build the brands, ace the awards, or even run your own agency. Psst... don't let your clients find out about me! 😉

Provides running splits for Strava Routes, accounting for distance and elevation changes

Design your perfect race calendar and training plans for your next race.

Creative naming assistant for product developers

Manages office supplies to ensure smooth operations.