--- title: "AgentGuard vs ps-fuzz" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dipampaul17-agentguard-vs-prompt-security-ps-fuzz" tools: ["dipampaul17-agentguard", "prompt-security-ps-fuzz"] --- # AgentGuard vs ps-fuzz *GraphCanon updated Aug 9, 2026* ## Verdict Pick AgentGuard when agentGuard is primarily JavaScript; ps-fuzz is Python; pick ps-fuzz when ps-fuzz is primarily Python; AgentGuard is JavaScript. [AgentGuard](https://github.com/dipampaul17/AgentGuard) reports 171 GitHub stars, 10 forks, and 1 open issues, last pushed Jul 31, 2025. [ps-fuzz](https://www.prompt.security/fuzzer) has 702 stars, 102 forks, and 20 open issues, last pushed Feb 16, 2026. Figures are from public GitHub metadata via [AgentGuard's repository](https://github.com/dipampaul17/AgentGuard) and [ps-fuzz's repository](https://github.com/prompt-security/ps-fuzz). | | [AgentGuard](/tools/dipampaul17-agentguard.md) | [ps-fuzz](/tools/prompt-security-ps-fuzz.md) | | --- | --- | --- | | Tagline | Real-time guardrail that monitors token spend and manages LLM/agent loops in real time | Test and harden system prompts for GenAI apps to ensure safety and security. | | Stars | 171 | 702 | | Forks | 10 | 102 | | Open issues | 1 | 20 | | Language | JavaScript | Python | | Adopt for | AgentGuard is a budget-conscious observer for real-time token spending by AI agents and LLMs, integrating with major providers like OpenAI and Anthropic. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Evaluation & Observability, Inference & Serving | Developer Tools, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AgentGuard](/tools/dipampaul17-agentguard.md) | [ps-fuzz](/tools/prompt-security-ps-fuzz.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 373d | 169d | | Open issues (now) | 1 | 20 | | Owner type | User | Organization | | Full report | [trust report](/tools/dipampaul17-agentguard/trust.md) | [trust report](/tools/prompt-security-ps-fuzz/trust.md) | ## Decision facts: AgentGuard - **Adopt for:** AgentGuard is a budget-conscious observer for real-time token spending by AI agents and LLMs, integrating with major providers like OpenAI and Anthropic. ## Choose when ### Choose AgentGuard if… - AgentGuard is primarily JavaScript; ps-fuzz is Python. - Tags unique to AgentGuard: ai-agents, anthropic, cost-monitoring, observability. - Also covers Inference & Serving. - When you need precise control over spend and want live updates on token prices ### Choose ps-fuzz if… - ps-fuzz is primarily Python; AgentGuard is JavaScript. - Tags unique to ps-fuzz: ai-fuzzer, fuzzer, generative-ai, llm-fuzzer. - Also covers Developer Tools. - When you need to methodically test system prompts in generative AI applications for potential security flaws. ## When NOT to use AgentGuard - If you prioritize a different language for your project and cannot use JavaScript - In cases requiring more elaborate fallback mechanisms than what AgentGuard offers ## When NOT to use ps-fuzz - If your project does not involve generative AI applications or does not require prompt testing for security reasons. - For tasks unrelated to the hardening and evaluation of system prompts, as ps-fuzz is specifically designed for this purpose. ## Common questions ### What is the difference between AgentGuard and ps-fuzz? AgentGuard: Real-time guardrail that monitors token spend and manages LLM/agent loops in real time. ps-fuzz: Test and harden system prompts for GenAI apps to ensure safety and security.. See the comparison table for live GitHub stats and shared categories. ### When should I choose AgentGuard over ps-fuzz? Choose AgentGuard over ps-fuzz when AgentGuard is primarily JavaScript; ps-fuzz is Python; Tags unique to AgentGuard: ai-agents, anthropic, cost-monitoring, observability; Also covers Inference & Serving; When you need precise control over spend and want live updates on token prices. ### When should I choose ps-fuzz over AgentGuard? Choose ps-fuzz over AgentGuard when ps-fuzz is primarily Python; AgentGuard is JavaScript; Tags unique to ps-fuzz: ai-fuzzer, fuzzer, generative-ai, llm-fuzzer; Also covers Developer Tools; When you need to methodically test system prompts in generative AI applications for potential security flaws. ### When should I avoid AgentGuard? If you prioritize a different language for your project and cannot use JavaScript In cases requiring more elaborate fallback mechanisms than what AgentGuard offers ### When should I avoid ps-fuzz? If your project does not involve generative AI applications or does not require prompt testing for security reasons. For tasks unrelated to the hardening and evaluation of system prompts, as ps-fuzz is specifically designed for this purpose. ### Is AgentGuard or ps-fuzz more popular on GitHub? ps-fuzz has more GitHub stars (702 vs 171). Stars measure visibility, not whether either tool fits your constraints. ### Are AgentGuard and ps-fuzz open source? Yes - both are open-source projects on GitHub (AgentGuard: MIT, ps-fuzz: MIT). ### Where can I find alternatives to AgentGuard or ps-fuzz? GraphCanon lists graph-backed alternatives at [AgentGuard alternatives](/tools/dipampaul17-agentguard/alternatives) and [ps-fuzz alternatives](/tools/prompt-security-ps-fuzz/alternatives) ([AgentGuard markdown twin](/tools/dipampaul17-agentguard/alternatives.md), [ps-fuzz markdown twin](/tools/prompt-security-ps-fuzz/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/dipampaul17-agentguard-vs-prompt-security-ps-fuzz.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AgentGuard or ps-fuzz? AgentGuard: Dormant. ps-fuzz: Slowing. 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 AgentGuard and ps-fuzz? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AgentGuard trust report](/tools/dipampaul17-agentguard/trust); [ps-fuzz trust report](/tools/prompt-security-ps-fuzz/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dipampaul17-agentguard`](/api/graphcanon/graph?tool=dipampaul17-agentguard) - 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/_