AI agent tools for testing
Short answer: Our top pick for testing: keploy, with the highest AgentPick Score (85/100) among tools tagged "testing". Runners-up: Midscene (84) and testkube (69). Compare what each does, its license and how recently it was updated below.
| # | Tool | What it does | Score | Stars | License | Updated |
|---|---|---|---|---|---|---|
| #1 | keploy | Open-source platform for creating safe, isolated production sandboxes for API, integration, and E2E testing. | 85/100 | ★ 19k | Apache-2.0 | 14 Oct 2026 |
| #2 | Midscene | See interfaces like a human. E2E testing in natural language. | 84/100 | ★ 15k | MIT | 14 Oct 2026 |
| #3 | testkube | ☸️ The Open Testing Platform for AI-Driven Engineering Teams | 69/100 | ★ 1.7k | See repo | 14 Oct 2026 |
| #4 | opik-openclaw | 🦞 Official plugin for OpenClaw that exports agent traces to Opik. See and monitor agent behaviour, cost, tokens, errors and more. | 62/100 | ★ 725 | Apache-2.0 | 5 Oct 2026 |
| #5 | ArchUnitPython | ArchUnitPython is an architecture testing library. Specify and ensure architecture rules in your Python app. Easy setup and pipeline integration. | 61/100 | ★ 664 | MIT | 6 Oct 2026 |
| #6 | arbigent | AI Agent for testing Android, iOS, and Web apps. Get Started in 5 Minutes. Arbigent's intuitive UI and powerful code interface make it accessible to e… | 58/100 | ★ 651 | Apache-2.0 | 2 Oct 2026 |
| #7 | artemis | ARTEMIS turns natural-language instructions into reliable Android automation. It automates end-to-end workflows, captures logs, and integrates seamles… | 47/100 | ★ 12k | Apache-2.0 | 1 Oct 2026 |
| #8 | rogue | AI Agent Evaluator & Red Team Platform | 46/100 | ★ 1.1k | See repo | 4 Aug 2026 |
| #9 | terraform-skill | Terraform & OpenTofu Skill for AI Agents - testing, modules, CI/CD, and production patterns | 42/100 | ★ 2.4k | See repo | 3 Jul 2026 |
Source: each project's public GitHub repository (description, stars, license, last push). Listed tools aren't tested or ranked by AgentPick.
How to choose
- Read the license before using it commercially.
- Check how recently it was updated and how active its issues are.
- Run it on a small, low-risk task first.
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