--- title: "agentops vs AgentGuard" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentops-ai-agentops-vs-dipampaul17-agentguard" tools: ["agentops-ai-agentops", "dipampaul17-agentguard"] --- # agentops vs AgentGuard *GraphCanon updated Sep 20, 2026* ## Verdict Pick agentops if agentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage; 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. [agentops](https://agentops.ai) reports 5.8k GitHub stars, 625 forks, and 184 open issues, last pushed Jun 25, 2026. [AgentGuard](https://github.com/dipampaul17/AgentGuard) has 173 stars, 11 forks, and 2 open issues, last pushed Jul 31, 2025. Figures are from public GitHub metadata via [agentops's repository](https://github.com/AgentOps-AI/agentops) and [AgentGuard's repository](https://github.com/dipampaul17/AgentGuard). | | [agentops](/tools/agentops-ai-agentops.md) | [AgentGuard](/tools/dipampaul17-agentguard.md) | | --- | --- | --- | | Tagline | Python SDK for AI agent monitoring and LLM cost tracking | Real-time guardrail that monitors token spend and manages LLM/agent loops in real time | | Stars | 5,830 | 173 | | Forks | 625 | 11 | | Open issues | 184 | 2 | | Language | Python | JavaScript | | Adopt for | AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage. | 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 | AI Agents, Evaluation & Observability | Evaluation & Observability, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentops](/tools/agentops-ai-agentops.md) | [AgentGuard](/tools/dipampaul17-agentguard.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 86d | 407d | | Open issues (now) | 184 | 2 | | Stars delta | +59 (30d) | +2 (30d) | | Open issues delta | +8 (30d) | +1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/agentops-ai-agentops/trust.md) | [trust report](/tools/dipampaul17-agentguard/trust.md) | ## Decision facts: agentops - **Adopt for:** AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage. ## 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 agentops if… - agentops is primarily Python; AgentGuard is JavaScript. - Tags unique to agentops: benchmarking, cost-tracking. - Also covers AI Agents. - Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK ### Choose AgentGuard if… - AgentGuard is primarily JavaScript; agentops 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 NOT to use agentops - If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI - In case self-hosting of components is impractical due to resource constraints ## 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 ## Common questions ### What is the difference between agentops and AgentGuard? agentops: Python SDK for AI agent monitoring and LLM cost tracking. AgentGuard: Real-time guardrail that monitors token spend and manages LLM/agent loops in real time. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentops over AgentGuard? Choose agentops over AgentGuard when agentops is primarily Python; AgentGuard is JavaScript; Tags unique to agentops: benchmarking, cost-tracking; Also covers AI Agents; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK. ### When should I choose AgentGuard over agentops? Choose AgentGuard over agentops when AgentGuard is primarily JavaScript; agentops 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 avoid agentops? If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI In case self-hosting of components is impractical due to resource constraints ### 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 ### Is agentops or AgentGuard more popular on GitHub? agentops has more GitHub stars (5,830 vs 173). Stars measure visibility, not whether either tool fits your constraints. ### Are agentops and AgentGuard open source? Yes - both are open-source projects on GitHub (agentops: MIT, AgentGuard: MIT). ### Where can I find alternatives to agentops or AgentGuard? GraphCanon lists graph-backed alternatives at [agentops alternatives](/tools/agentops-ai-agentops/alternatives) and [AgentGuard alternatives](/tools/dipampaul17-agentguard/alternatives) ([agentops markdown twin](/tools/agentops-ai-agentops/alternatives.md), [AgentGuard markdown twin](/tools/dipampaul17-agentguard/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/agentops-ai-agentops-vs-dipampaul17-agentguard.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentops or AgentGuard? agentops: Steady. AgentGuard: 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 agentops and AgentGuard? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentops trust report](/tools/agentops-ai-agentops/trust); [AgentGuard trust report](/tools/dipampaul17-agentguard/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agentops-ai-agentops`](/api/graphcanon/graph?tool=agentops-ai-agentops) - 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/_