AI tools for testing web apps and AI features
Let an AI agent click through your web app, write browser tests, or check the answers your own AI feature gives.
For developers and testers who want an AI agent to click through a web app, or who need to check the answers their own AI feature gives. Start with a browser tool for your agent, then add an eval tool once you ship AI.
01Test your web app7 picks
- Playwright MCPmicrosoft/playwright-mcp
Pick this to let your coding agent open your app in a real browser and check it.
CLI · Apache-2.0 · active 24 hours ago · ★ 39k
90worth - playwright-climicrosoft/playwright-cli
The same idea as a CLI and skills, with fewer tokens than MCP.
CLI · Apache-2.0 · active 23 hours ago · ★ 15k
76worth - Chrome DevTools MCPChromeDevTools/chrome-devtools-mcp
Pick this to let your agent read the console, network and speed of a page in Chrome.
CLI · Apache-2.0 · active 2 days ago · ★ 55k
89worth - Agent Browservercel-labs/agent-browser
Pick this for a small browser CLI made for agents, with short output.
CLI · Apache-2.0 · active yesterday · ★ 45k
85worth - Browser Usebrowser-use/browser-use
Pick this to write tests as plain-English tasks in Python.
Library / SDK · MIT · active 2 days ago · ★ 120k
94worth - Stagehandbrowserbase/stagehand
Pick this to mix normal Playwright code with AI steps in TypeScript.
Library / SDK · MIT · active 2 days ago · ★ 26k
80worth - SkyvernSkyvern-AI/skyvern
Pick this for long forms and flows that change often.
Docker / self-host · AGPL-3.0 · active 2 days ago · ★ 23k
83worth
02Test your AI feature3 picks
- promptfoopromptfoo/promptfoo
Pick this to test prompts and models from a config file in CI.
CLI · Library / SDK · MIT · active 23 hours ago · ★ 27k
93worth - DeepEvalconfident-ai/deepeval
Pick this if you write your tests in pytest.
Library / SDK · Apache-2.0 · active 3 days ago · ★ 19k
82worth - GiskardGiskard-AI/giskard-oss
Pick this to find wrong, unsafe or made-up answers in an agent.
Library / SDK · Apache-2.0 · active 3 days ago · ★ 5.9k
74worth
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How we pick
An editor picks 6 to 12 projects for one job and writes when to choose each one. Every pick had a commit in the last 6 months. It is not archived. Its worth score is 60 or more. An editor breaks a rule only for a reason, and writes that reason in the pick's note. We check every list again each quarter. A pick goes when it breaks a rule or a clearly better project appears.









