#Ai-testing
Showing 12 of 12 repositories tagged #ai-testing, ranked by stars
๐ข Open-Source Evaluation & Testing library for LLM Agents
WHartTest ๆฏไธๆฌพAI้ฉฑๅจ็ๆต่ฏ่ชๅจๅๅนณๅฐ๏ผๅฎ็ฐไป้ๆฑๅฐๅฏๆง่กๆต่ฏ็จไพ็่ชๅจๅ็ๆไธ็ฎก็๏ผๅธฎๅฉๆต่ฏๅข้ๆๅๆ็ไธ่ฆ็็ใ (WHartTest is an AI-driven test automation platform that automates the generation and management of executable test cases from requirements, helping testing teams improve efficiency and coverage.)
Mock everything your AI app talks to โ LLM APIs, MCP, A2A, AG-UI, vector DBs, search. One package, one port, zero dependencies.
Deliver safe & effective language models
Free, open-source AWS emulator. LocalStack alternative: 70 services, 5,139 operations, true 100% Smithy conformance (169,945/169,945 variants pass). No account, no auth token, no paid tier.
AI-powered E2E testing for 10 platforms. 253 MCP tools. Zero config. Works with Claude, Cursor, Windsurf, Copilot. Test Flutter, React Native, iOS, Android, Web, Electron, Tauri, KMP, .NET MAUI โ all from natural language.
The self-improving QA agent for software teams. A test harness with memory. Write tests in natural language for web and mobile. agent-qa learns from every run, adapts to UI changes, and catches regressions before you ship.
MIT-licensed Framework for LLMs, RAGs, Chatbots testing. Configurable via YAML and integrable into CI pipelines for automated testing.
GPT4Go: AI-Powered Test Case Generation for Golang ๐งช
52-week journey from QA/SDET to GenAI Testing - learning in public with weekly mini-projects, code, and honest documentation of struggles and wins.
A professional collection of AI prompts for QA (Quality Assurance) professionals, designed to help test engineers and QA teams work more efficiently throughout the software testing lifecycle.
Postman for AI - design, evaluate, and debug LLM interactions with full transparency.