--- title: "AgentGuard vs circuit-breakers" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dipampaul17-agentguard-vs-grayswanai-circuit-breakers" tools: ["dipampaul17-agentguard", "grayswanai-circuit-breakers"] --- # AgentGuard vs circuit-breakers *GraphCanon updated Aug 9, 2026* ## Verdict Pick AgentGuard when agentGuard is primarily JavaScript; circuit-breakers is Jupyter Notebook; pick circuit-breakers when circuit-breakers is primarily Jupyter Notebook; AgentGuard is JavaScript. [AgentGuard](https://github.com/dipampaul17/AgentGuard) reports 171 GitHub stars, 10 forks, and 1 open issues, last pushed Jul 31, 2025. [circuit-breakers](https://github.com/GraySwanAI/circuit-breakers) has 266 stars, 42 forks, and 14 open issues, last pushed Sep 24, 2024. Figures are from public GitHub metadata via [AgentGuard's repository](https://github.com/dipampaul17/AgentGuard) and [circuit-breakers's repository](https://github.com/GraySwanAI/circuit-breakers). | | [AgentGuard](/tools/dipampaul17-agentguard.md) | [circuit-breakers](/tools/grayswanai-circuit-breakers.md) | | --- | --- | --- | | Tagline | Real-time guardrail that monitors token spend and manages LLM/agent loops in real time | Improving Alignment and Robustness with Circuit Breakers | | Stars | 171 | 266 | | Forks | 10 | 42 | | Open issues | 1 | 14 | | Language | JavaScript | Jupyter Notebook | | 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 | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AgentGuard](/tools/dipampaul17-agentguard.md) | [circuit-breakers](/tools/grayswanai-circuit-breakers.md) | | --- | --- | --- | | Days since push | 373d | 679d | | Open issues (now) | 1 | 14 | | Owner type | User | Organization | | Full report | [trust report](/tools/dipampaul17-agentguard/trust.md) | [trust report](/tools/grayswanai-circuit-breakers/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; circuit-breakers is Jupyter Notebook. - 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 circuit-breakers if… - circuit-breakers is primarily Jupyter Notebook; AgentGuard is JavaScript. - Tags unique to circuit-breakers: adversarial-attacks, alignment, circuit breaker, robustness. - If needing robust protection against adversarial attacks that do not compromise model capability ## 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 circuit-breakers - When the focus is on enhancing content diversity rather than filtering harmful content - In scenarios where minimizing the alteration of original model output is critical ## Common questions ### What is the difference between AgentGuard and circuit-breakers? AgentGuard: Real-time guardrail that monitors token spend and manages LLM/agent loops in real time. circuit-breakers: Improving Alignment and Robustness with Circuit Breakers. See the comparison table for live GitHub stats and shared categories. ### When should I choose AgentGuard over circuit-breakers? Choose AgentGuard over circuit-breakers when AgentGuard is primarily JavaScript; circuit-breakers is Jupyter Notebook; 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 circuit-breakers over AgentGuard? Choose circuit-breakers over AgentGuard when circuit-breakers is primarily Jupyter Notebook; AgentGuard is JavaScript; Tags unique to circuit-breakers: adversarial-attacks, alignment, circuit breaker, robustness; If needing robust protection against adversarial attacks that do not compromise model capability. ### 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 circuit-breakers? When the focus is on enhancing content diversity rather than filtering harmful content In scenarios where minimizing the alteration of original model output is critical ### Is AgentGuard or circuit-breakers more popular on GitHub? circuit-breakers has more GitHub stars (266 vs 171). Stars measure visibility, not whether either tool fits your constraints. ### Are AgentGuard and circuit-breakers open source? Yes - both are open-source projects on GitHub (AgentGuard: MIT, circuit-breakers: MIT). ### Where can I find alternatives to AgentGuard or circuit-breakers? GraphCanon lists graph-backed alternatives at [AgentGuard alternatives](/tools/dipampaul17-agentguard/alternatives) and [circuit-breakers alternatives](/tools/grayswanai-circuit-breakers/alternatives) ([AgentGuard markdown twin](/tools/dipampaul17-agentguard/alternatives.md), [circuit-breakers markdown twin](/tools/grayswanai-circuit-breakers/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-grayswanai-circuit-breakers.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AgentGuard or circuit-breakers? AgentGuard: Dormant. circuit-breakers: Dormant. 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 circuit-breakers? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AgentGuard trust report](/tools/dipampaul17-agentguard/trust); [circuit-breakers trust report](/tools/grayswanai-circuit-breakers/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/_