Entry
Appears in 9 awesome lists
Source-available (FSL-1.1-ALv2) QA agent for natural-language web and mobile tests. Run agent-qa mcp for authoring, execution, artifacts, and failure triage; dashboard-backed tools need a running dashboard and dashboardUrl. Model and infrastructure costs are separate.
Section: Autonomous Task Runners · Runs natural-language web and mobile test suites through a self-healing execution loop, persists memory between runs, and exposes a dashboard, CLI, MCP server, and coding-agent skills.
Section: Testing and QA · Self-improving QA agent for web and mobile apps with natural-language tests, run memory, UI-change adaptation, and regression detection.
Section: NLP · 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.
Section: MCP Servers · Source-available (FSL-1.1-ALv2) QA agent for natural-language web and mobile tests. Run agent-qa mcp for authoring, execution, artifacts, and failure triage; dashboard-backed tools need a running dashboard and dashboardUrl. Model and infrastructure costs are separate.
Section: Web applications · Source-available QA agent for natural-language web and mobile tests using OpenAI-compatible models, with persistent test memory, a dashboard, CLI, and MCP server.
Section: Toolkit for testing/debugging HTTP(S) and restAPI (RESTful) · Self-improving QA agent for natural-language web and mobile regression tests, written in TypeScript
Section: UI & End-to-End Testing · Self-improving QA agent for natural-language web and mobile tests, with execution memory and regression detection.
Section: AI Web Automation Tools · Self-improving QA harness for natural-language web test runs with execution memory and self-healing actions.
Section: 링크 · 자연어로 웹·모바일 테스트를 실행하고 실행 메모리로 UI 변화에 적응하는 FSL-1.1-ALv2 소스 사용 가능 QA 도구로, 허용된 사용에 대한 소프트웨어 비용은 없지만 사용자가 설정한 외부 모델·브라우저·기기 서비스는 별도 과금될 수 있음
Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…
(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…
Mem0 is an intelligent memory layer for Large Language Models that enhances personalized AI experiences by retaining and utilizing contextual information across various applications. github | website | docs | discord | twitter | github profile | linkedin
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…
Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of…
Production-grade platform for running any open-source LLMs as OpenAI-compatible API endpoints. Supports 50+ models with built-in streaming, batching, and auto-acceleration. Apache 2.0 licensed.
Multi-framework streaming Markdown renderer for AI chat interfaces, with incomplete Markdown handling, Mermaid, KaTeX, Shiki/Monaco code blocks, SSR, and packages for Vue, React, Svelte, and Angular.
Lightweight multi-agent framework built around handoffs and guardrails; the production successor to Swarm. Complements LangGraph for harnesses where delegation patterns are simpler than full graph orchestration.