--- title: "agentdojo vs langwatch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ethz-spylab-agentdojo-vs-langwatch-langwatch" tools: ["ethz-spylab-agentdojo", "langwatch-langwatch"] --- # agentdojo vs langwatch *GraphCanon updated Aug 8, 2026* ## Verdict Pick agentdojo if agentDojo serves as a benchmarking environment to evaluate security attacks, like prompt injection, and defenses for Large Language Model (LLM) agents; 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. [agentdojo](https://agentdojo.spylab.ai/) reports 716 GitHub stars, 188 forks, and 41 open issues, last pushed Jun 2, 2026. [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 [agentdojo's repository](https://github.com/ethz-spylab/agentdojo) and [langwatch's repository](https://github.com/langwatch/langwatch). | | [agentdojo](/tools/ethz-spylab-agentdojo.md) | [langwatch](/tools/langwatch-langwatch.md) | | --- | --- | --- | | Tagline | A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents | The platform for LLM evaluations and AI agent testing | | Stars | 716 | 3,479 | | Forks | 188 | 340 | | Open issues | 41 | 777 | | Language | Python | TypeScript | | Adopt for | AgentDojo serves as a benchmarking environment to evaluate security attacks, like prompt injection, and defenses for Large Language Model (LLM) agents. | 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 | MIT | 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._ | | [agentdojo](/tools/ethz-spylab-agentdojo.md) | [langwatch](/tools/langwatch-langwatch.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 63d | 0d | | Open issues (now) | 41 | 777 | | Stars delta | Unknown | +152 (30d) | | Open issues delta | Unknown | +103 (30d) | | Full report | [trust report](/tools/ethz-spylab-agentdojo/trust.md) | [trust report](/tools/langwatch-langwatch/trust.md) | ## Shared compatibility - **Python**: [agentdojo](/tools/ethz-spylab-agentdojo.md) - Python runtime; [langwatch](/tools/langwatch-langwatch.md) - Python runtime ## Decision facts: agentdojo - **Pricing:** freemium - Open-source under the MIT License. Some advanced features might require additional libraries or APIs. - **Requirements:** Min 8 GB RAM - **Adopt for:** AgentDojo serves as a benchmarking environment to evaluate security attacks, like prompt injection, and defenses for Large Language Model (LLM) agents. ## 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 agentdojo if… - agentdojo is primarily Python; langwatch is TypeScript. - License: agentdojo is MIT, langwatch is Apache-2.0. - Pricing: Open-source under the MIT License. Some advanced features might require additional libraries or APIs.. - Requirements: Min 8 GB RAM. - Tags unique to agentdojo: benchmark, large language models, prompt-injection, security. - AgentDojo serves as a benchmarking environment to evaluate security attacks, like prompt injection, and defenses for Large Language Model (LLM) agents. ### Choose langwatch if… - langwatch is primarily TypeScript; agentdojo is Python. - License: langwatch is Apache-2.0, agentdojo is MIT. - 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 agentdojo - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## 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 agentdojo and langwatch? agentdojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents. 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 agentdojo over langwatch? Choose agentdojo over langwatch when agentdojo is primarily Python; langwatch is TypeScript; License: agentdojo is MIT, langwatch is Apache-2.0; Pricing: Open-source under the MIT License. Some advanced features might require additional libraries or APIs.; Requirements: Min 8 GB RAM; Tags unique to agentdojo: benchmark, large language models, prompt-injection, security; AgentDojo serves as a benchmarking environment to evaluate security attacks, like prompt injection, and defenses for Large Language Model (LLM) agents. ### When should I choose langwatch over agentdojo? Choose langwatch over agentdojo when langwatch is primarily TypeScript; agentdojo is Python; License: langwatch is Apache-2.0, agentdojo is MIT; 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 agentdojo? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### 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 agentdojo or langwatch more popular on GitHub? langwatch has more GitHub stars (3,479 vs 716). Stars measure visibility, not whether either tool fits your constraints. ### Are agentdojo and langwatch open source? Yes - both are open-source projects on GitHub (agentdojo: MIT, langwatch: Apache-2.0). ### Where can I find alternatives to agentdojo or langwatch? GraphCanon lists graph-backed alternatives at [agentdojo alternatives](/tools/ethz-spylab-agentdojo/alternatives) and [langwatch alternatives](/tools/langwatch-langwatch/alternatives) ([agentdojo markdown twin](/tools/ethz-spylab-agentdojo/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/ethz-spylab-agentdojo-vs-langwatch-langwatch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentdojo or langwatch? agentdojo: Steady. 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 agentdojo and langwatch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentdojo trust report](/tools/ethz-spylab-agentdojo/trust); [langwatch trust report](/tools/langwatch-langwatch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ethz-spylab-agentdojo`](/api/graphcanon/graph?tool=ethz-spylab-agentdojo) - 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/_