Comparison
agentfield vs agentdojo
Verdict
Pick agentfield if agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure; pick agentdojo if agentDojo serves as a benchmarking environment to evaluate security attacks, like prompt injection, and defenses for Large Language Model (LLM) agents.
Markdown twin · agentfield alternatives · agentdojo alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | agentfield | agentdojo |
|---|---|---|
| Maintenance | Very active (1d since push) As of today · github_public_v1 | Steady (39d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- agentfield
- Build, run and scale AI agents like API and microservices
- agentdojo
- A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
Stars
- agentfield
- 2.3k
- agentdojo
- 659
Forks
- agentfield
- 371
- agentdojo
- 168
Open issues
- agentfield
- 91
- agentdojo
- 33
Language
- agentfield
- Go
- agentdojo
- Python
Adopt for
- agentfield
- Agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure.
- agentdojo
- AgentDojo serves as a benchmarking environment to evaluate security attacks, like prompt injection, and defenses for Large Language Model (LLM) agents.
Persona
- agentfield
- -
- agentdojo
- -
Runtime
- agentfield
- -
- agentdojo
- -
License
- agentfield
- Apache-2.0
- agentdojo
- MIT
Last pushed
- agentfield
- Jul 10, 2026
- agentdojo
- Jun 2, 2026
Categories
- agentfield
- AI Agents
- agentdojo
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agentfield
- Very active (96%)
- agentdojo
- Steady (60%)
Days since push
- agentfield
- 1d
- agentdojo
- 39d
Open issues (now)
- agentfield
- 91
- agentdojo
- 33
Full report
- agentfield
- Trust report
- agentdojo
- Trust report
Choose agentfield if…
- agentfield is primarily Go; agentdojo is Python.
- License: agentfield is Apache-2.0, agentdojo is MIT.
- Tags unique to agentfield: agent-scaling, multiagent, agent-auth, genai.
- When you seek to manage and scale your AI agents with robust identity awareness and auditability features from inception.
When NOT to use agentfield
- If your project requires heavy customization in languages other than Go as Agentfield is primarily built using Go which may limit its adaptability in polyglot environments.
Choose agentdojo if…
- agentdojo is primarily Python; agentfield is Go.
- License: agentdojo is MIT, agentfield 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: prompt-injection, benchmark, large-language-models, security.
- Also covers Evaluation & Observability.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Agent-Field/agentfield) · observed Jul 11, 2026
- GitHub forks (Agent-Field/agentfield) · observed Jul 11, 2026
- Last push (Agent-Field/agentfield) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ethz-spylab/agentdojo) · observed Jul 11, 2026
- GitHub forks (ethz-spylab/agentdojo) · observed Jul 11, 2026
- Last push (ethz-spylab/agentdojo) · observed Jun 2, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentfield 2.3k · agentdojo 659 (synced Jul 11, 2026).
Common questions
- What is the difference between agentfield and agentdojo?
- agentfield: Build, run and scale AI agents like API and microservices. agentdojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentfield over agentdojo?
- Choose agentfield over agentdojo when agentfield is primarily Go; agentdojo is Python; License: agentfield is Apache-2.0, agentdojo is MIT; Tags unique to agentfield: agent-scaling, multiagent, agent-auth, genai; When you seek to manage and scale your AI agents with robust identity awareness and auditability features from inception.
- When should I choose agentdojo over agentfield?
- Choose agentdojo over agentfield when agentdojo is primarily Python; agentfield is Go; License: agentdojo is MIT, agentfield 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: prompt-injection, benchmark, large-language-models, security; Also covers Evaluation & Observability; AgentDojo serves as a benchmarking environment to evaluate security attacks, like prompt injection, and defenses for Large Language Model (LLM) agents.
- When should I avoid agentfield?
- If your project requires heavy customization in languages other than Go as Agentfield is primarily built using Go which may limit its adaptability in polyglot environments.
- 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.
- Is agentfield or agentdojo more popular on GitHub?
- agentfield has more GitHub stars (2,339 vs 659). Stars measure visibility, not whether either tool fits your constraints.
- Are agentfield and agentdojo open source?
- Yes - both are open-source projects on GitHub (agentfield: Apache-2.0, agentdojo: MIT).
- Where can I find alternatives to agentfield or agentdojo?
- GraphCanon lists graph-backed alternatives at agentfield alternatives and agentdojo alternatives (agentfield markdown twin, agentdojo 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, agentfield or agentdojo?
- agentfield: Very active. agentdojo: 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 agentfield and agentdojo?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentfield trust report; agentdojo trust report.