Havuz

Turn noisy command output into a short, actionable first pass for coding agents.

Self-hostable, MCP-native testing platform. Manual test management, deterministic runs, optional AI. Your stack, your LLM, your data.

Open-source, agentic web testing platform.

Keep your sensitive credentials out of the agents you build and the coding agent you use. Test any agent with planted fake keys, or see whic

Spec-Driven Development framework that enables humans and AI agents to build better software by giving them small, local instructions right

Git for your test database. Snapshot the databases behind a system under test, break them, put them back in seconds, and read their logs bes

AI 測試大師 — MCP server driving pytest / Jest / Cypress / Go / Maestro. Analyze, generate, run, advise. Web + Mobile (iOS/Android/BlueStacks).

Diff your AI agent's behavior between two runs. See exactly which tool calls, args, costs and outputs changed when you swap models or edit p

Regression testing and configuration sweeps for RAG pipelines, with the statistics to know whether a change actually helped.

Deterministic Wasm sandbox + dual-target C runtime for AI-in-the-loop embedded firmware — from ESP32 down to sub-$1 8-bit MCUs

Playwright-style UI testing for Godot & Unity. One semantic automation layer for tests, CI, and AI coding agents via MCP.

Local-first repo maps for coding agents—ranked files, test routes, risks, CLI/MCP/GitHub Action, and public GitHub URLs.

Engineering-first OpenAI Codex guide: 14 modules, 9 installable skills, reproducible benchmarks, testing, review, orchestration, and a Livin

AI-native HL7 v2 toolkit with generation, validation, HL7→FHIR conversion, MCP & Claude Code integration. Bringing healthcare interoperabil

OrangePro local-first CLI + MCP server for behavior mapping, grounded test generation, and dynamic proof.

Make your specs actually comprehensive. Pair your specs with tests to make your coding agent stop improvising bad code

Snapshot testing for LLM apps and agents, built to run locally and block regressions in CI.

Streaming privacy for LLM apps: pii-leak-benchmark (does your gateway leak PII in streams?), chunk-invariance (one-line test for split-bound

Crash-test insurance claim AI agents before production.

Self-learning knowledge system for quality engineering. Rust, SQLite + optional PostgreSQL, ONNX embeddings, hybrid retrieval, Bayesian qual

Open-Source Framework for AI-Driven Quality Assurance. No-Code AI Agents for QA Testers. Automate Web, API, Database, and Mobile testing wit

Claude Code skills that turn an AI agent into a meticulous QA engineer. Evidence or it didn't happen.

The testing standard for MCP servers. Lint (14 rules), test, and fuzz over real stdio/SSE/HTTP transport. 18 assertion types in YAML. Found

AI vision GUI automation for browsers, mobile apps, desktops, and games — no DOM, no selectors. Standalone or on top of Playwright / Seleniu

🐱 Knocks over your AI agent's "done" claims with hidden retests, mutation gates, and executable acceptance contracts for Java. If it's hollo

Drop-in pytest plugin for regression-testing AI agents — snapshot baselines, semantic comparison, mock LLMs

EvalPort — The Open LLM Evaluation Standard. Portable test cases, graders, suites, and results across DeepEval, Promptfoo, Inspect AI, and m

Proof-of-done for AI coding agents. Local evidence receipts for Codex, Claude Code, Cursor, and GitHub Actions.

Reproducible evaluation for AI coding agents. Multi-turn scenarios against Claude Code, Codex, Copilot, Cursor, Gemini CLI, Goose, OpenCode,

Synthetic users that walk your software before real users do.

Mutation testing for your LLM evals — degrade the system under test and check whether your evals would actually catch a regression.

The autonomous SDLC for Claude Code that won't pass a gate on an unproven verdict.

The open testing standard for voice AI agents. Deterministic + semantic + RAG augmented evaluation. Local first. Zero telemetry.

Behavior-guardrail hooks for Claude Code: test-tampering + outbound-action guards