Best AI tools for< Test Agent >

Keploy is an open-source AI-powered API, integration, and unit testing agent designed for developers. It offers a unified testing platform that uses AI to write and validate tests, maximizing coverage and minimizing effort. With features like automated test generation, record-and-replay for integration tests, and API testing automation, Keploy aims to streamline the testing process for developers. The platform also provides GitHub PR unit test agents, centralized reporting dashboards, and smarter test deduplication to enhance testing efficiency and effectiveness.

Vocera is an AI voice agent testing tool that allows users to test and monitor voice AI agents efficiently. It enables users to launch voice agents in minutes, ensuring a seamless conversational experience. With features like testing against AI-generated datasets, simulating scenarios, and monitoring AI performance, Vocera helps in evaluating and improving voice agent interactions. The tool provides real-time insights, detailed logs, and trend analysis for optimal performance, along with instant notifications for errors and failures. Vocera is designed to work for everyone, offering an intuitive dashboard and data-driven decision-making for continuous improvement.

Autoblocks AI is an AI application designed to help users build safe AI apps efficiently. It allows users to ship AI agents in minutes, speeding up the development process significantly. With Autoblocks AI, users can prototype quickly, test at a faster rate, and deploy with confidence. The application is trusted by leading AI teams and focuses on making AI agent development more predictable by addressing the unpredictability of user inputs and non-deterministic models.

Hamming is an AI tool designed to help automate voice agent testing and optimization. It offers features such as prompt optimization, automated voice testing, monitoring, and more. The platform allows users to test AI voice agents against simulated users, create optimized prompts, actively monitor AI app usage, and simulate customer calls to identify system gaps. Hamming is trusted by AI-forward enterprises and is built for inbound and outbound agents, including AI appointment scheduling, AI drive-through, AI customer support, AI phone follow-ups, AI personal assistant, and AI coaching and tutoring.

Elixir is an AI tool designed for observability and testing of AI voice agents. It offers features such as automated testing, call review, monitoring, analytics, tracing, scoring, and reviewing. Elixir helps in simulating realistic test calls, analyzing conversations, identifying mistakes, and debugging issues with audio snippets and call transcripts. It provides detailed traces for complex abstractions, streamlines manual review processes, and allows for simulating thousands of calls for full test coverage. The tool is suitable for monitoring agent performance, detecting anomalies in real-time, and improving conversational systems through human-in-the-loop feedback.

Functionize is an AI Agentic Automation Platform for Enterprises that offers expert AI agents to handle business processes autonomously. The platform utilizes deep learning neural networks to deliver unparalleled performance across various enterprise applications. Functionize's AI agents run autonomously, self-heal workflows, and redefine efficiency and reliability in automation. The platform provides immediate value with pretrained automation, evolves with operational environments, and ensures seamless adaptability and precision in every task. Functionize helps mitigate risks, unlock gains, and support digital transformation for enterprises.

Prompt Hippo is an AI tool designed as a side-by-side LLM prompt testing suite to ensure the robustness, reliability, and safety of prompts. It saves time by streamlining the process of testing LLM prompts and allows users to test custom agents and optimize them for production. With a focus on science and efficiency, Prompt Hippo helps users identify the best prompts for their needs.

Kusho is an AI-powered tool designed to help software developers build bug-free software efficiently. It offers the capability to transform API specs into exhaustive test suites that seamlessly integrate into the CI/CD pipeline. With KushoAI, developers can generate robust AI-generated test suites, receive AI-analyzed test results, and modify code instantly based on real-time reports. The tool is customizable to meet company's context and understands natural language prompts to produce test case code instantly. KushoAI ensures maximum test coverage in minutes, saves hours of manual effort, and adapts to the codebase to prevent missing any test cases.

TestArmy is an AI-driven software testing platform that offers an army of testing agents to help users achieve software quality by balancing cost, speed, and quality. The platform leverages AI agents to generate Gherkin tests based on user specifications, automate test execution, and provide detailed logs and suggestions for test maintenance. TestArmy is designed for rapid scaling and adaptability to changes in the codebase, making it a valuable tool for both technical and non-technical users.

MAIHEM is an AI-powered quality assurance platform that helps businesses test and improve the performance and safety of their AI applications. It automates the testing process, generates realistic test cases, and provides comprehensive analytics to help businesses identify and fix potential issues. MAIHEM is used by a variety of businesses, including those in the customer support, healthcare, education, and sales industries.

Filuta AI is an advanced AI application that redefines game testing with planning agents. It utilizes Composite AI with planning techniques to provide a 24/7 testing environment for smooth, bug-free releases. The application brings deep space technology to game testing, enabling intelligent agents to analyze game states, adapt in real time, and execute action sequences to achieve test goals. Filuta AI offers goal-driven testing, adaptive exploration, detailed insights, and shorter development cycles, making it a valuable tool for game developers, QA leads, game designers, automation engineers, and producers.

Giskard is an AI testing platform designed to secure Language Model (LLM) agents by continuously testing applications to prevent hallucinations and security issues. It is powered by leading AI researchers and trusted by Enterprise AI teams. Giskard offers features such as continuous testing, exhaustive risk detection, easy testing deployment, cross-team collaboration, and independent validation. The platform enables users to turn business knowledge into AI tests, generate comprehensive test scenarios, and stay protected with continuous Red Teaming that adapts to new threats.

Zencoder is an intuitive AI coding agent designed to assist developers in coding tasks by leveraging advanced AI workflows and intelligent systems. It offers features like Repo Grokking for deep code insights, AI Agents for streamlining development processes, and capabilities such as code generation, chat assistance, code completion, and more. Zencoder aims to enhance software development efficiency, code quality, and project alignment by integrating seamlessly into developers' workflows.

nunu.ai is an AI-powered platform designed to revolutionize game testing by leveraging AI agents to conduct end-to-end tests at scale. The platform allows users to describe what they want to test in plain English, eliminating the need for coding or technical expertise. With features like human-like testing, multi-platform support, and enterprise-grade security, nunu.ai aims to streamline game QA automation, reduce costs, and enhance efficiency for game studios.

Coval is an AI tool designed to help users ship reliable AI agents faster by providing simulation and evaluations for voice and chat agents. It allows users to simulate thousands of scenarios from a few test cases, create prompts for testing, and evaluate agent interactions comprehensively. Coval offers AI-powered simulations, voice AI compatibility, performance tracking, workflow metrics, and customizable evaluation metrics to optimize AI agents efficiently.

Danora is an AI application that offers Persona AI Agents to help personalize marketing strategies for Gen Z parents. These AI Agents decode online conversations to create virtual personas in real-time, providing actionable insights and enabling the launch of smarter, more personalized campaigns. The application gathers data from various platforms in multiple languages to deliver insights on trends, intent, emotions, behaviors, and sentiment of Gen Z parents. Users can interact with the AI Agents, ask questions, and receive instant answers on various topics. Danora aims to simplify the process from insight to action by offering a flexible and efficient solution for businesses to connect with their target audience effectively.

TestDriver is an AI-powered testing tool that helps developers automate their testing process. It can be integrated with GitHub and can test anything, right in the GitHub environment. TestDriver is easy to set up and use, and it can help developers save time and effort by offloading testing to AI. It uses Dashcam.io technology to provide end-to-end exploratory testing, allowing developers to see the screen, logs, and thought process as the AI completes its test.

Cerebium is a serverless AI infrastructure platform that allows teams to build, test, and deploy AI applications quickly and efficiently. With a focus on speed, performance, and cost optimization, Cerebium offers a range of features and tools to simplify the development and deployment of AI projects. The platform ensures high reliability, security, and compliance while providing real-time logging, cost tracking, and observability tools. Cerebium also offers GPU variety and effortless autoscaling to meet the diverse needs of developers and businesses.

Voiceflow is a powerful, flexible, and collaborative platform for building AI automation. It allows teams of any size to build agents of any scale and complexity, easily. Voiceflow's visual workflow builder is used by developers and designers to collaboratively create, iterate, and ship complex agents. Voiceflow also offers a central CMS for managing all of your agent content, including variables, intents, entities, and knowledge base sources. With Voiceflow, you can integrate with any API or service, share and test prototypes, and launch agents to any interface.

echowin is an AI Voice Agent Builder Platform that enables businesses to create AI agents for calls, chat, and Discord. It offers a comprehensive solution for automating customer support with features like Agentic AI logic and reasoning, support for over 30 languages, parallel call answering, and 24/7 availability. The platform allows users to build, train, test, and deploy AI agents quickly and efficiently, without compromising on capabilities or scalability. With a focus on simplicity and effectiveness, echowin empowers businesses to enhance customer interactions and streamline operations through cutting-edge AI technology.

Agent Evaluation is a generative AI-powered framework for testing virtual agents. It implements an LLM agent (evaluator) to orchestrate conversations with your own agent (target) and evaluate responses. It supports popular AWS services, allows concurrent multi-turn conversations, defines hooks for additional tasks, and can be used in CI/CD pipelines for faster delivery and stable production environments.

Astra.ai is a multimodal agent powered by TEN, showcasing its capabilities in speech, vision, and reasoning through RAG from local documentation. It provides a platform for developing AI agents with features like RTC transportation, extension store, workflow builder, and local deployment. Users can build and test agents locally using Docker and Node.js, with prerequisites including Agora App ID, Azure's speech-to-text and text-to-speech API keys, and OpenAI API key. The platform offers advanced customization options through config files and API keys setup, enabling users to create and deploy their AI agents for various tasks.

Motia is an AI agent framework designed for software engineers to create, test, and deploy production-ready AI agents quickly. It provides a code-first approach, allowing developers to write agent logic in familiar languages and visualize execution in real-time. With Motia, developers can focus on business logic rather than infrastructure, offering zero infrastructure headaches, multi-language support, composable steps, built-in observability, instant APIs, and full control over AI logic. Ideal for building sophisticated agents and intelligent automations, Motia's event-driven architecture and modular steps enable the creation of GenAI-powered workflows, decision-making systems, and data processing pipelines.

Windows Agent Arena (WAA) is a scalable Windows AI agent platform designed for testing and benchmarking multi-modal, desktop AI agents. It provides researchers and developers with a reproducible and realistic Windows OS environment for AI research, enabling testing of agentic AI workflows across various tasks. WAA supports deploying agents at scale using Azure ML cloud infrastructure, allowing parallel running of multiple agents and delivering quick benchmark results for hundreds of tasks in minutes.

Synthora is a lightweight and extensible framework for LLM-driven Agents and ALM research. It aims to simplify the process of building, testing, and evaluating agents by providing essential components. The framework allows for easy agent assembly with a single config, reducing the effort required for tuning and sharing agents. Although in early development stages with unstable APIs, Synthora welcomes feedback and contributions to enhance its stability and functionality.

Jido is a toolkit for building autonomous, distributed agent systems in Elixir. It provides the foundation for creating smart, composable workflows that can evolve and respond to their environment. Geared towards Agent builders, it contains core state primitives, composable actions, agent data structures, real-time sensors, signal system, skills, and testing tools. Jido is designed for multi-node Elixir clusters and offers rich helpers for unit and property-based testing.

GhostOS is an AI Agent framework designed to replace JSON Schema with a Turing-complete code interaction interface (Moss Protocol). It aims to create intelligent entities capable of continuous learning and growth through code generation and project management. The framework supports various capabilities such as turning Python files into web agents, real-time voice conversation, body movements control, and emotion expression. GhostOS is still in early experimental development and focuses on out-of-the-box capabilities for AI agents.

pytest-evals is a minimalistic pytest plugin designed to help evaluate the performance of Language Model (LLM) outputs against test cases. It allows users to test and evaluate LLM prompts against multiple cases, track metrics, and integrate easily with pytest, Jupyter notebooks, and CI/CD pipelines. Users can scale up by running tests in parallel with pytest-xdist and asynchronously with pytest-asyncio. The tool focuses on simplifying evaluation processes without the need for complex frameworks, keeping tests and evaluations together, and emphasizing logic over infrastructure.

AIOS, a Large Language Model (LLM) Agent operating system, embeds large language model into Operating Systems (OS) as the brain of the OS, enabling an operating system "with soul" -- an important step towards AGI. AIOS is designed to optimize resource allocation, facilitate context switch across agents, enable concurrent execution of agents, provide tool service for agents, maintain access control for agents, and provide a rich set of toolkits for LLM Agent developers.

LLM Functions is a project that enables the enhancement of large language models (LLMs) with custom tools and agents developed in bash, javascript, and python. Users can create tools for their LLM to execute system commands, access web APIs, or perform other complex tasks triggered by natural language prompts. The project provides a framework for building tools and agents, with tools being functions written in the user's preferred language and automatically generating JSON declarations based on comments. Agents combine prompts, function callings, and knowledge (RAG) to create conversational AI agents. The project is designed to be user-friendly and allows users to easily extend the capabilities of their language models.

A Python interface for creating battling Pokemon agents, 'poke-env' allows users to develop rule-based or Reinforcement Learning bots to battle on Pokemon Showdown. The tool provides an easy-to-use interface for agent creation and offers documentation, examples, and starting code for beginners. Users can install 'poke-env' via pip and set up a development server for testing. The project is inspired by an artificial intelligence class project and relies on data from Smogon forums' RMT section. It is licensed under MIT and can be cited using a provided BibTeX entry.

AgentBench is a benchmark designed to evaluate Large Language Models (LLMs) as autonomous agents in various environments. It includes 8 distinct environments such as Operating System, Database, Knowledge Graph, Digital Card Game, and Lateral Thinking Puzzles. The tool provides a comprehensive evaluation of LLMs' ability to operate as agents by offering Dev and Test sets for each environment. Users can quickly start using the tool by following the provided steps, configuring the agent, starting task servers, and assigning tasks. AgentBench aims to bridge the gap between LLMs' proficiency as agents and their practical usability.

AutoGPT is a revolutionary tool that empowers everyone to harness the power of AI. With AutoGPT, you can effortlessly build, test, and delegate tasks to AI agents, unlocking a world of possibilities. Our mission is to provide the tools you need to focus on what truly matters: innovation and creativity.

AgentOps is a toolkit for evaluating and developing robust and reliable AI agents. It provides benchmarks, observability, and replay analytics to help developers build better agents. AgentOps is open beta and can be signed up for here. Key features of AgentOps include: - Session replays in 3 lines of code: Initialize the AgentOps client and automatically get analytics on every LLM call. - Time travel debugging: (coming soon!) - Agent Arena: (coming soon!) - Callback handlers: AgentOps works seamlessly with applications built using Langchain and LlamaIndex.

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.

Agently is a development framework that helps developers build AI agent native application really fast. You can use and build AI agent in your code in an extremely simple way. You can create an AI agent instance then interact with it like calling a function in very few codes like this below. Click the run button below and witness the magic. It's just that simple: python # Import and Init Settings import Agently agent = Agently.create_agent() agent\ .set_settings("current_model", "OpenAI")\ .set_settings("model.OpenAI.auth", {"api_key": ""}) # Interact with the agent instance like calling a function result = agent\ .input("Give me 3 words")\ .output([("String", "one word")])\ .start() print(result) ['apple', 'banana', 'carrot'] And you may notice that when we print the value of `result`, the value is a `list` just like the format of parameter we put into the `.output()`. In Agently framework we've done a lot of work like this to make it easier for application developers to integrate Agent instances into their business code. This will allow application developers to focus on how to build their business logic instead of figure out how to cater to language models or how to keep models satisfied.

CEO-Agentic-AI-Framework is an ultra-lightweight Agentic AI framework based on the ReAct paradigm. It supports mainstream LLMs and is stronger than Swarm. The framework allows users to build their own agents, assign tasks, and interact with them through a set of predefined abilities. Users can customize agent personalities, grant and deprive abilities, and assign queries for specific tasks. CEO also supports multi-agent collaboration scenarios, where different agents with distinct capabilities can work together to achieve complex tasks. The framework provides a quick start guide, examples, and detailed documentation for seamless integration into research projects.

I am not affiliated with Bullhorn, nor do I have rights to this software. For this, please visit Bullhorn.com as they are the owner. The rights holders may ask me to remove this test bot.

The future of business education: Generate and test ideas in a complex global market simulation, populated by autonomous agents. Powered by the MANNS engine for unparalleled entity autonomy and simulated market forces

Expert in BC driving regulations and tests

I'm Geo Quiz Master, ready to test your geography skills with fun facts!

Entrainez-vous pour votre examen du code de la route en posant toutes sortes de questions sur différentes situations de la route.

I simulate tough Customer Support scenarios for Agent Training.

I host a diverse range of sports trivia: Prompt a difficulty to begin

Tu guía para el examen teórico del permiso de conducir B de España. Miles de preguntas reales de examen, apoyo intelectual y emocional de parte de un choffer profesional 🏁

Your playful GeoGuessr guide!

Plugga smartare 🚀

驾驶考试科目一专家

A game of location guessing with photorealistic images.

Simple, Friendly Guide for Jamaican Drivers

Experto en el libro del conductor de Chile

Practice speaking another language like a local without being a local (use ChatGPT Voice via mobile app!)

City-naming game with timer and updated rules

Responde a perguntas sobre o Novo Testamento com foco em teologia e história.

🙏 A virtual Catholic Priest skilled in Bible-based advice, homilies, and catechism. Has access to Bible (Old and New Testament) through Breebs (www.breebs.com)

Deskundige AI gespecialiseerd in Belgisch notarieel recht, gericht op huwelijksadvies, samenlevingsregelingen, verkoopaktes en testamenten.

Test Shaman: Guiding software testing with Grug wisdom and humor, balancing fun with practical advice.