Standards for building agents, better
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Updated
May 1, 2026 - TypeScript
Standards for building agents, better
Agentic testing for agentic codebases
The definitive benchmark for AI agents on OpenClaw. 45 tasks across 4 tiers. Powered by MyClaw.ai
Ship agents you can audit.
The open-source MultiAgentOps evaluation and verification harness for any industry business workflow.
Agent Verifier is a coding agent skill that verifies code against organizational policies, code quality patterns, security requirements, and framework best practices — before code ships. Works with Claude Code, Cursor, Windsurf, and 30+ agents.
infrastructure chaos to test the resilience of ai agents
GitHub template for agent-testable SaaS apps. Next.js 16 + shadcn/ui + Neon Postgres + agent-browser e2e testing via accessibility tree.
Deterministic runtime for agent evaluation
pytest plugin for deterministic testing of AI agents. Assert agent actions, not vibes.
A living world where agents exist as participants alongside NPCs, internal actors, real service APIs, budgets, policies, and consequences.
Typed Kotlin DSL framework for AI agent systems.
Token-efficient stochastic testing for AI agents. 5-20x cost reduction. 10 framework adapters. Paper: arXiv:2603.02601
Playwright for AI Agents. Test what your agent DOES, not what it SAYS. YAML-first behavioral testing. Catch PII leaks, tool abuse, step explosions. 3200+ tests.
Intent-first unit testing framework for AI agents in Node.js and TypeScript.
Diagnose your AI agents in production. Extract policies from prompts, evaluate traces, generate diagnostic reports.
Qualitative benchmark suite for evaluating AI coding agents and orchestration paradigms on realistic, complex development tasks
Playwright-based reference implementation for testing AI agents that call tools. Five patterns: tool invocation, behavior contracts, multi-step trace verification, boundary enforcement, and failure observability. Rule-based contract matching - no second LLM required.
Agent testing automation 🤖 by simulating users 👥 and agents 🤝 with judge ⚖️(langwatch-scenario)
Simulation environment for testing and validating autonomous agents
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