Comparison
agentdojo vs langwatch
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.
Markdown twin · agentdojo alternatives · langwatch alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | agentdojo | langwatch |
|---|---|---|
| Maintenance | Steady (63d since push) As of 1w · github_public_v1 | Very active (0d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- agentdojo
- A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
- langwatch
- The platform for LLM evaluations and AI agent testing
Stars
- agentdojo
- 716
- langwatch
- 3.5k
Forks
- agentdojo
- 188
- langwatch
- 340
Open issues
- agentdojo
- 41
- langwatch
- 777
Language
- agentdojo
- Python
- langwatch
- TypeScript
Adopt for
- agentdojo
- AgentDojo serves as a benchmarking environment to evaluate security attacks, like prompt injection, and defenses for Large Language Model (LLM) agents.
- langwatch
- 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
- agentdojo
- -
- langwatch
- -
Runtime
- agentdojo
- -
- langwatch
- -
License
- agentdojo
- MIT
- langwatch
- LangWatch is licensed under Apache-2.0 for its core functionalities, but enterprise modules such as SCIM and audit logging require a commercial license.
Last pushed
- agentdojo
- Jun 2, 2026
- langwatch
- Aug 7, 2026
Categories
- agentdojo
- AI Agents, Evaluation & Observability
- langwatch
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agentdojo
- Steady (60%)
- langwatch
- Very active (96%)
Days since push
- agentdojo
- 63d
- langwatch
- 0d
Open issues (now)
- agentdojo
- 41
- langwatch
- 777
Stars delta
- agentdojo
- Unknown
- langwatch
- +152 (30d)
Open issues delta
- agentdojo
- Unknown
- langwatch
- +103 (30d)
OSV dependency advisories
- agentdojo
- No lockfile (source not queried)
- langwatch
- No published findings from this source as of 2026-07-11
Full report
- agentdojo
- Trust report
- langwatch
- Trust report
Shared compatibility
- Python · agentdojo: Python runtime · langwatch: Python runtime
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ethz-spylab/agentdojo) · observed Aug 5, 2026
- GitHub forks (ethz-spylab/agentdojo) · observed Aug 5, 2026
- Last push (ethz-spylab/agentdojo) · observed Jun 2, 2026
- License file (MIT) · observed Aug 5, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (langwatch/langwatch) · observed Aug 8, 2026
- GitHub forks (langwatch/langwatch) · observed Aug 8, 2026
- Last push (langwatch/langwatch) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentdojo 716 · langwatch 3.5k (synced Aug 5, 2026).
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 and langwatch alternatives (agentdojo markdown twin, langwatch markdown twin), 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 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; langwatch trust report.