--- title: "agentic_security vs promptfoo" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/msoedov-agentic-security-vs-promptfoo-promptfoo" tools: ["msoedov-agentic-security", "promptfoo-promptfoo"] --- # agentic_security vs promptfoo *GraphCanon updated Aug 2, 2026* ## Verdict Pick agentic_security if agentic Security is an agent-based framework for scanning vulnerabilities in large language models with a Python-based toolkit for robust security assessments via fuzz testing; pick promptfoo if promptfoo aids in evaluating AI prompts, LLM agents, and RAG systems through declarative config testing with CI/CD support. [agentic_security](https://agentic-security.vercel.app) reports 1.9k GitHub stars, 270 forks, and 70 open issues, last pushed Jun 23, 2026. [promptfoo](https://promptfoo.dev) has 24k stars, 2.1k forks, and 481 open issues, last pushed Aug 1, 2026. Figures are from public GitHub metadata via [agentic_security's repository](https://github.com/msoedov/agentic_security) and [promptfoo's repository](https://github.com/promptfoo/promptfoo). | | [agentic_security](/tools/msoedov-agentic-security.md) | [promptfoo](/tools/promptfoo-promptfoo.md) | | --- | --- | --- | | Tagline | Agentic LLM Vulnerability Scanner / AI red teaming kit | Tool for evaluating prompts and AI agents by comparing performance across various models and red teaming. | | Stars | 1,943 | 23,838 | | Forks | 270 | 2,147 | | Open issues | 70 | 481 | | Language | Python | TypeScript | | Adopt for | Agentic Security is an agent-based framework for scanning vulnerabilities in large language models with a Python-based toolkit for robust security assessments via fuzz testing. | promptfoo aids in evaluating AI prompts, LLM agents, and RAG systems through declarative config testing with CI/CD support. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 - Permissive license encouraging free use and modification under the condition of preserving notices. | MIT | | Categories | Evaluation & Observability, LLM Frameworks | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentic_security](/tools/msoedov-agentic-security.md) | [promptfoo](/tools/promptfoo-promptfoo.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 35d | 0d | | Open issues (now) | 70 | 481 | | Owner type | User | Organization | | Full report | [trust report](/tools/msoedov-agentic-security/trust.md) | [trust report](/tools/promptfoo-promptfoo/trust.md) | ## Shared compatibility - **Python**: [agentic_security](/tools/msoedov-agentic-security.md) - Python runtime; [promptfoo](/tools/promptfoo-promptfoo.md) - Python runtime ## Decision facts: agentic_security - **Adopt for:** Agentic Security is an agent-based framework for scanning vulnerabilities in large language models with a Python-based toolkit for robust security assessments via fuzz testing. - **License detail:** Apache-2.0 - Permissive license encouraging free use and modification under the condition of preserving notices. ## Decision facts: promptfoo - **Adopt for:** promptfoo aids in evaluating AI prompts, LLM agents, and RAG systems through declarative config testing with CI/CD support. ## Choose when ### Choose agentic_security if… - agentic_security is primarily Python; promptfoo is TypeScript. - License: agentic_security is Apache-2.0, promptfoo is MIT. - Tags unique to agentic_security: agent-framework, fuzzing, security-assessment. - Developers need to ensure their LLMs are secure from jailbreak attempts and vulnerabilities. ### Choose promptfoo if… - promptfoo is primarily TypeScript; agentic_security is Python. - License: promptfoo is MIT, agentic_security is Apache-2.0. - Tags unique to promptfoo: ci-cd, evaluation-framework, pentesting, vulnerability-scanners. - For comparing performance across GPT, Claude, Gemini, DeepSeek ## When NOT to use agentic_security - Teams require solutions that do not involve agent frameworks for vulnerability scanning. - Projects seek a no-fuzz-testing approach for evaluating LLM security. ## When NOT to use promptfoo - If you do not require comparative analysis among multiple LLM models - If your project does not benefit from the specific red teaming capabilities offered by promptfoo ## Common questions ### What is the difference between agentic_security and promptfoo? agentic_security: Agentic LLM Vulnerability Scanner / AI red teaming kit. promptfoo: Tool for evaluating prompts and AI agents by comparing performance across various models and red teaming.. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentic_security over promptfoo? Choose agentic_security over promptfoo when agentic_security is primarily Python; promptfoo is TypeScript; License: agentic_security is Apache-2.0, promptfoo is MIT; Tags unique to agentic_security: agent-framework, fuzzing, security-assessment; Developers need to ensure their LLMs are secure from jailbreak attempts and vulnerabilities. ### When should I choose promptfoo over agentic_security? Choose promptfoo over agentic_security when promptfoo is primarily TypeScript; agentic_security is Python; License: promptfoo is MIT, agentic_security is Apache-2.0; Tags unique to promptfoo: ci-cd, evaluation-framework, pentesting, vulnerability-scanners; For comparing performance across GPT, Claude, Gemini, DeepSeek. ### When should I avoid agentic_security? Teams require solutions that do not involve agent frameworks for vulnerability scanning. Projects seek a no-fuzz-testing approach for evaluating LLM security. ### When should I avoid promptfoo? If you do not require comparative analysis among multiple LLM models If your project does not benefit from the specific red teaming capabilities offered by promptfoo ### Is agentic_security or promptfoo more popular on GitHub? promptfoo has more GitHub stars (23,838 vs 1,943). Stars measure visibility, not whether either tool fits your constraints. ### Are agentic_security and promptfoo open source? Yes - both are open-source projects on GitHub (agentic_security: Apache-2.0, promptfoo: MIT). ### Where can I find alternatives to agentic_security or promptfoo? GraphCanon lists graph-backed alternatives at [agentic_security alternatives](/tools/msoedov-agentic-security/alternatives) and [promptfoo alternatives](/tools/promptfoo-promptfoo/alternatives) ([agentic_security markdown twin](/tools/msoedov-agentic-security/alternatives.md), [promptfoo markdown twin](/tools/promptfoo-promptfoo/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/msoedov-agentic-security-vs-promptfoo-promptfoo.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentic_security or promptfoo? agentic_security: Steady. promptfoo: 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 agentic_security and promptfoo? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentic_security trust report](/tools/msoedov-agentic-security/trust); [promptfoo trust report](/tools/promptfoo-promptfoo/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=msoedov-agentic-security`](/api/graphcanon/graph?tool=msoedov-agentic-security) - 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/_