Comparison
agentdojo vs ChainForge
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 ChainForge if web-based visual programming tool for prompt testing on LLMs; supports local installation and Docker for advanced feature access.
Markdown twin · agentdojo alternatives · ChainForge alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | agentdojo | ChainForge |
|---|---|---|
| Maintenance | Steady (63d since push) As of 2w · github_public_v1 | Steady (70d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) 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
- ChainForge
- An open-source visual programming environment for battle-testing prompts to LLMs.
Stars
- agentdojo
- 716
- ChainForge
- 3.0k
Forks
- agentdojo
- 188
- ChainForge
- 256
Open issues
- agentdojo
- 41
- ChainForge
- 70
Language
- agentdojo
- Python
- ChainForge
- 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.
- ChainForge
- Web-based visual programming tool for prompt testing on LLMs; supports local installation and Docker for advanced feature access.
Persona
- agentdojo
- -
- ChainForge
- -
Runtime
- agentdojo
- -
- ChainForge
- -
License
- agentdojo
- MIT
- ChainForge
- MIT
Last pushed
- agentdojo
- Jun 2, 2026
- ChainForge
- Jun 10, 2026
Categories
- agentdojo
- AI Agents, Evaluation & Observability
- ChainForge
- Evaluation & Observability, LLM Frameworks
Trust and health
Days since push
- agentdojo
- 63d
- ChainForge
- 70d
Open issues (now)
- agentdojo
- 41
- ChainForge
- 70
Stars delta
- agentdojo
- Unknown
- ChainForge
- +14 (30d)
Open issues delta
- agentdojo
- Unknown
- ChainForge
- +1 (30d)
Owner type
- agentdojo
- Organization
- ChainForge
- User
Full report
- agentdojo
- Trust report
- ChainForge
- Trust report
Shared compatibility
- Python · agentdojo: Python runtime · ChainForge: Python runtime
Choose agentdojo if…
- agentdojo is primarily Python; ChainForge is TypeScript.
- 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, prompt-injection, security.
- Also covers AI Agents.
- 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 ChainForge if…
- ChainForge is primarily TypeScript; agentdojo is Python.
- Tags unique to ChainForge: ai, evaluation, llmops, prompt-engineering.
- Also covers LLM Frameworks.
- ChainForge ships Docker support for self-hosted deployment.
- Need extensive features beyond web limitations
When NOT to use ChainForge
- Looking for a solution without local setup or Docker support
- Prefer not managing API keys via environment variable configuration
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 (ianarawjo/ChainForge) · observed Aug 20, 2026
- GitHub forks (ianarawjo/ChainForge) · observed Aug 20, 2026
- Last push (ianarawjo/ChainForge) · observed Jun 10, 2026
- License file (MIT) · observed Aug 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentdojo 716 · ChainForge 3.0k (synced Aug 5, 2026).
Common questions
- What is the difference between agentdojo and ChainForge?
- agentdojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents. ChainForge: An open-source visual programming environment for battle-testing prompts to LLMs.. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentdojo over ChainForge?
- Choose agentdojo over ChainForge when agentdojo is primarily Python; ChainForge is TypeScript; 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, prompt-injection, security; Also covers AI Agents; 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 ChainForge over agentdojo?
- Choose ChainForge over agentdojo when ChainForge is primarily TypeScript; agentdojo is Python; Tags unique to ChainForge: ai, evaluation, llmops, prompt-engineering; Also covers LLM Frameworks; ChainForge ships Docker support for self-hosted deployment; Need extensive features beyond web limitations.
- 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 ChainForge?
- Looking for a solution without local setup or Docker support Prefer not managing API keys via environment variable configuration
- Is agentdojo or ChainForge more popular on GitHub?
- ChainForge has more GitHub stars (3,027 vs 716). Stars measure visibility, not whether either tool fits your constraints.
- Are agentdojo and ChainForge open source?
- Yes - both are open-source projects on GitHub (agentdojo: MIT, ChainForge: MIT).
- Where can I find alternatives to agentdojo or ChainForge?
- GraphCanon lists graph-backed alternatives at agentdojo alternatives and ChainForge alternatives (agentdojo markdown twin, ChainForge 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 ChainForge?
- agentdojo: Steady. ChainForge: Steady. 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 ChainForge?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentdojo trust report; ChainForge trust report.