--- title: "agentwatch vs langwatch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cyberark-agentwatch-vs-langwatch-langwatch" tools: ["cyberark-agentwatch", "langwatch-langwatch"] --- # agentwatch vs langwatch *GraphCanon updated Aug 9, 2026* ## Verdict Pick agentwatch if agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions; pick langwatch if langWatch is a comprehensive tool for evaluating large language models (LLM) and testing AI agents. It supports self-hosting with flexible deployment options including Docker, Kubernetes, and cloud-specific setups. [agentwatch](https://www.cyberark.com) reports 122 GitHub stars, 11 forks, and 0 open issues, last pushed May 14, 2025. [langwatch](https://langwatch.ai) has 3.5k stars, 340 forks, and 777 open issues, last pushed Aug 7, 2026. Figures are from public GitHub metadata via [agentwatch's repository](https://github.com/cyberark/agentwatch) and [langwatch's repository](https://github.com/langwatch/langwatch). | | [agentwatch](/tools/cyberark-agentwatch.md) | [langwatch](/tools/langwatch-langwatch.md) | | --- | --- | --- | | Tagline | A powerful AI observability framework for monitoring and optimizing AI-driven applications. | The platform for LLM evaluations and AI agent testing | | Stars | 122 | 3,479 | | Forks | 11 | 340 | | Open issues | 0 | 777 | | Language | Python | TypeScript | | Adopt for | Agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions. | LangWatch is a comprehensive tool for evaluating large language models (LLM) and testing AI agents. It supports self-hosting with flexible deployment options including Docker, Kubernetes, and cloud-specific setups. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | LangWatch is licensed under Apache-2.0 for its core functionalities, but enterprise modules such as SCIM and audit logging require a commercial license. | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentwatch](/tools/cyberark-agentwatch.md) | [langwatch](/tools/langwatch-langwatch.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 451d | 0d | | Open issues (now) | 0 | 777 | | Stars delta | Unknown | +152 (30d) | | Open issues delta | Unknown | +103 (30d) | | Full report | [trust report](/tools/cyberark-agentwatch/trust.md) | [trust report](/tools/langwatch-langwatch/trust.md) | ## Shared compatibility - **Python**: [agentwatch](/tools/cyberark-agentwatch.md) - Python runtime; [langwatch](/tools/langwatch-langwatch.md) - Python runtime ## Decision facts: agentwatch - **Adopt for:** Agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions. ## Decision facts: langwatch - **Pricing:** freemium - Open-source editions are free with restrictions on certain advanced features that require a commercial license. - **Adopt for:** LangWatch is a comprehensive tool for evaluating large language models (LLM) and testing AI agents. It supports self-hosting with flexible deployment options including Docker, Kubernetes, and cloud-specific setups. - **License detail:** LangWatch is licensed under Apache-2.0 for its core functionalities, but enterprise modules such as SCIM and audit logging require a commercial license. ## Choose when ### Choose agentwatch if… - agentwatch is primarily Python; langwatch is TypeScript. - Tags unique to agentwatch: agent, agentic-ai, cybersecurity, large language models. - When your focus is on monitoring and analyzing AI-driven applications, especially those involving cybersecurity and large language models ### Choose langwatch if… - langwatch is primarily TypeScript; agentwatch is Python. - Pricing: Open-source editions are free with restrictions on certain advanced features that require a commercial license.. - Tags unique to langwatch: ai, analytics, datasets, evaluation. - You need to evaluate LLMs and test AI agents in a controlled environment. ## When NOT to use agentwatch - For scenarios where the user interface aspect of observability is not preferred or required, as Agentwatch emphasizes an intuitive UI for insight into AI operations - When prioritizing support for non-Python environments since Agentwatch is specifically developed in Python and could limit usability in other ecosystems ## When NOT to use langwatch - If you are looking for an out-of-the-box service without the complexity of setting up your own infrastructure, since LangWatch heavily leans towards self-hosting. - You do not require advanced enterprise features like SCIM, audit logs, license management, as these features require a commercial license. ## Common questions ### What is the difference between agentwatch and langwatch? agentwatch: A powerful AI observability framework for monitoring and optimizing AI-driven applications.. langwatch: The platform for LLM evaluations and AI agent testing. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentwatch over langwatch? Choose agentwatch over langwatch when agentwatch is primarily Python; langwatch is TypeScript; Tags unique to agentwatch: agent, agentic-ai, cybersecurity, large language models; When your focus is on monitoring and analyzing AI-driven applications, especially those involving cybersecurity and large language models. ### When should I choose langwatch over agentwatch? Choose langwatch over agentwatch when langwatch is primarily TypeScript; agentwatch is Python; Pricing: Open-source editions are free with restrictions on certain advanced features that require a commercial license.; Tags unique to langwatch: ai, analytics, datasets, evaluation; You need to evaluate LLMs and test AI agents in a controlled environment. ### When should I avoid agentwatch? For scenarios where the user interface aspect of observability is not preferred or required, as Agentwatch emphasizes an intuitive UI for insight into AI operations When prioritizing support for non-Python environments since Agentwatch is specifically developed in Python and could limit usability in other ecosystems ### When should I avoid langwatch? If you are looking for an out-of-the-box service without the complexity of setting up your own infrastructure, since LangWatch heavily leans towards self-hosting. You do not require advanced enterprise features like SCIM, audit logs, license management, as these features require a commercial license. ### Is agentwatch or langwatch more popular on GitHub? langwatch has more GitHub stars (3,479 vs 122). Stars measure visibility, not whether either tool fits your constraints. ### Are agentwatch and langwatch open source? Yes - both are open-source projects on GitHub (agentwatch: Apache-2.0, langwatch: Apache-2.0). ### Where can I find alternatives to agentwatch or langwatch? GraphCanon lists graph-backed alternatives at [agentwatch alternatives](/tools/cyberark-agentwatch/alternatives) and [langwatch alternatives](/tools/langwatch-langwatch/alternatives) ([agentwatch markdown twin](/tools/cyberark-agentwatch/alternatives.md), [langwatch markdown twin](/tools/langwatch-langwatch/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/cyberark-agentwatch-vs-langwatch-langwatch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentwatch or langwatch? agentwatch: Dormant. langwatch: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for agentwatch and langwatch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentwatch trust report](/tools/cyberark-agentwatch/trust); [langwatch trust report](/tools/langwatch-langwatch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=cyberark-agentwatch`](/api/graphcanon/graph?tool=cyberark-agentwatch) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_