{"slug": "langwatch", "title": "LangWatch", "summary": "LangWatch, an open-source testing, evaluation, and observability platform for AI agents, offers simulation-based testing, adversarial red-teaming, and OpenTelemetry-native observability. The platform, which is ISO 27001 certified and GDPR compliant, deploys as managed SaaS or self-hosted and is licensed under Apache 2.0.", "body_md": "Open Source Alternative to:\n\nLast 30 days\n\nLast commit\n\nRepository age\n\nVersion\n\nLicense\n\nRepository\n\nLangWatch is a testing, evaluation, and observability platform for AI agents. It's built for engineering teams that have moved past simple chatbots and are running agents that take dozens of steps, call external tools, and can fail in ways that are hard to reproduce. The core problem it solves: agents have too many possible paths to test by hand, and bugs that slip through tend to surface in production at the worst time.\n\nThe platform centers on **simulation-based testing**, where synthetic users run multi-turn text or voice conversations against your agent before any code ships. You write scenarios in plain language, and the same tests run locally and in CI without extra setup. Adversarial red-teaming is built in, probing for jailbreaks, policy violations, and unsafe tool calls.\n\nEvaluation goes beyond single-turn output scoring:\n\nObservability is OpenTelemetry-native with full GenAI spec support, so traces from [Cline](/cline), [OpenHands](/openhands), or any other agent framework plug in without a rewrite. Every token, tool call, and cost is tracked per span, and you can view runs as a waterfall, flame graph, topology, or sequence diagram.\n\nA feature called **Langy** closes the loop between product and engineering: a PM writes a goal in plain English, Langy generates a full test plan and scenarios, runs them in parallel, scores the results against a rubric, and opens a pull request with a prompt revision when something regresses. The platform also includes a Prompt Registry so changes are versioned and reviewable.\n\nFor teams with compliance requirements, LangWatch is ISO 27001 certified and GDPR compliant, with RBAC, SSO, SCIM, audit logs, and custom data retention. It deploys as managed SaaS across EU, US, UK, and APAC regions, as a self-hosted Docker or Kubernetes install, or in a hybrid configuration where the data plane runs on your infrastructure. The source is open under Apache 2.\n\nLast 30 days\n\nLast commit\n\nRepository age\n\nVersion\n\nLicense\n\nRepository\n\nEvery Sunday we deconstruct one proprietary app and pick the best open source alternatives worth switching to.\n\nStars\n\nLast commit\n\nLicense\n\nStars\n\nLast commit\n\nLicense\n\nStars\n\nLast commit\n\nLicense\n\nStars\n\nLast commit\n\nLicense\n\nCompare with\n\nStars\n\nStars\n\nStars\n\nStars\n\nStars\n\nStars\n\nStars\n\nLast commit\n\nLicense\n\nCompare with\n\nLast commit\n\nLicense\n\nCompare with\n\nLast commit\n\nLicense\n\nCompare with\n\nLast commit\n\nLicense\n\nCompare with\n\nLast commit\n\nLicense\n\nCompare with\n\nLast commit\n\nLicense\n\nCompare with\n\nLast commit\n\nLicense\n\nCompare with", "url": "https://wpnews.pro/news/langwatch", "canonical_source": "https://openalternative.co/langwatch?utm_source=openalternative.co&utm_medium=rss", "published_at": "2026-08-24 10:59:00+00:00", "updated_at": "2026-08-24 11:43:44.954775+00:00", "lang": "en", "topics": ["ai-tools", "ai-agents"], "entities": ["LangWatch", "Cline", "OpenHands", "Apache 2.0", "ISO 27001", "GDPR"], "alternates": {"html": "https://wpnews.pro/news/langwatch", "markdown": "https://wpnews.pro/news/langwatch.md", "text": "https://wpnews.pro/news/langwatch.txt", "jsonld": "https://wpnews.pro/news/langwatch.jsonld"}}