Best AI agents for testing apps (2026)
Agents that write and run tests, click through your app and report what breaks. We list 13 tools for testing apps below, each with a link-checked page, pricing as the maker states it and alternatives.
Strix
Open-source AI agents that run penetration tests on your app to find and help fix security vulnerabilities.
Goose
Extensible open-source AI agent that installs, runs, edits and tests code on your machine with any LLM and MCP extensions.
Vibe-Trading
Open-source personal trading agent for researching markets and testing strategies in natural language.
PentAGI
Autonomous multi-agent system for running penetration testing tasks.
Qodo
AI code review and testing agents that work in the IDE, the terminal and pull requests to catch issues before merge.
Unity MCP
MCP tools and CLI that let AI agents develop and test inside the Unity engine.
PentestAgent
Agent framework for black-box security testing and bug bounty work.
MATLAB MCP Server
MathWorks' MCP server that lets coding agents run MATLAB code and tests.
Testkube MCP
Testkube MCP server for managing test workflows and executions.
CircleCI MCP
CircleCI's MCP server for inspecting projects, pipelines, failed jobs and test results from coding agents.
Coldtea
Agents that test every pull request on real devices, watch production and file issues before users hit them.
Hamming AI
Testing and QA platform for voice and chat agents that generates scenarios and replays real calls.
KaneAI
AI testing agent that plans, writes and evolves end-to-end tests from natural language.
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