--- title: "AgentGuard vs promptguard" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dipampaul17-agentguard-vs-mturac-promptguard" tools: ["dipampaul17-agentguard", "mturac-promptguard"] --- # AgentGuard vs promptguard *GraphCanon updated Sep 20, 2026* ## Verdict Pick AgentGuard if agentGuard is a budget-conscious observer for real-time token spending by AI agents and LLMs, integrating with major providers like OpenAI and Anthropic; pick promptguard if promptGuard audits prompts for AI agents to ensure safe code generation. [AgentGuard](https://github.com/dipampaul17/AgentGuard) reports 173 GitHub stars, 11 forks, and 2 open issues, last pushed Jul 31, 2025. [promptguard](https://github.com/mturac/promptguard) has 86 stars, 1 forks, and 0 open issues, last pushed Jul 22, 2026. Figures are from public GitHub metadata via [AgentGuard's repository](https://github.com/dipampaul17/AgentGuard) and [promptguard's repository](https://github.com/mturac/promptguard). | | [AgentGuard](/tools/dipampaul17-agentguard.md) | [promptguard](/tools/mturac-promptguard.md) | | --- | --- | --- | | Tagline | Real-time guardrail that monitors token spend and manages LLM/agent loops in real time | Audits prompts as behavioral contracts for AI agents. | | Stars | 173 | 86 | | Forks | 11 | 1 | | Open issues | 2 | 0 | | 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. | PromptGuard audits prompts for AI agents to ensure safe code generation. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Evaluation & Observability, Inference & Serving | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AgentGuard](/tools/dipampaul17-agentguard.md) | [promptguard](/tools/mturac-promptguard.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 407d | 51d | | Open issues (now) | 2 | 0 | | Stars delta | +2 (30d) | +5 (30d) | | Open issues delta | +1 (30d) | 0 (30d) | | Full report | [trust report](/tools/dipampaul17-agentguard/trust.md) | [trust report](/tools/mturac-promptguard/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. ## Decision facts: promptguard - **Adopt for:** PromptGuard audits prompts for AI agents to ensure safe code generation. ## Choose when ### Choose AgentGuard if… - AgentGuard is primarily JavaScript; promptguard is Python. - Tags unique to AgentGuard: anthropic, cost-monitoring, observability. - Also covers Inference & Serving. - When you need precise control over spend and want live updates on token prices ### Choose promptguard if… - promptguard is primarily Python; AgentGuard is JavaScript. - Tags unique to promptguard: audit, prompt-engineering, safety. - Also covers AI Agents. - When developing AI agents that generate code and need strict adherence to safety standards ## 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 promptguard - If your project does not involve prompting AI for code generation or execution - In scenarios where real-time prompt auditing is required as it focuses on post-audit analysis ## Common questions ### What is the difference between AgentGuard and promptguard? AgentGuard: Real-time guardrail that monitors token spend and manages LLM/agent loops in real time. promptguard: Audits prompts as behavioral contracts for AI agents.. See the comparison table for live GitHub stats and shared categories. ### When should I choose AgentGuard over promptguard? Choose AgentGuard over promptguard when AgentGuard is primarily JavaScript; promptguard is Python; Tags unique to AgentGuard: 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 promptguard over AgentGuard? Choose promptguard over AgentGuard when promptguard is primarily Python; AgentGuard is JavaScript; Tags unique to promptguard: audit, prompt-engineering, safety; Also covers AI Agents; When developing AI agents that generate code and need strict adherence to safety standards. ### 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 promptguard? If your project does not involve prompting AI for code generation or execution In scenarios where real-time prompt auditing is required as it focuses on post-audit analysis ### Is AgentGuard or promptguard more popular on GitHub? AgentGuard has more GitHub stars (173 vs 86). Stars measure visibility, not whether either tool fits your constraints. ### Are AgentGuard and promptguard open source? Yes - both are open-source projects on GitHub (AgentGuard: MIT, promptguard: MIT). ### Where can I find alternatives to AgentGuard or promptguard? GraphCanon lists graph-backed alternatives at [AgentGuard alternatives](/tools/dipampaul17-agentguard/alternatives) and [promptguard alternatives](/tools/mturac-promptguard/alternatives) ([AgentGuard markdown twin](/tools/dipampaul17-agentguard/alternatives.md), [promptguard markdown twin](/tools/mturac-promptguard/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-mturac-promptguard.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AgentGuard or promptguard? AgentGuard: Dormant. promptguard: 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 AgentGuard and promptguard? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AgentGuard trust report](/tools/dipampaul17-agentguard/trust); [promptguard trust report](/tools/mturac-promptguard/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/_