--- title: "agentops vs AssetOpsBench" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentops-ai-agentops-vs-ibm-assetopsbench" tools: ["agentops-ai-agentops", "ibm-assetopsbench"] --- # agentops vs AssetOpsBench *GraphCanon updated Aug 14, 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 AssetOpsBench if assetOpsBench is a specialized framework for developing and evaluating AI agents in Industry 4.0 contexts, with an emphasis on operations and maintenance scenarios including HVAC systems and IoT management. [agentops](https://agentops.ai) reports 5.8k GitHub stars, 612 forks, and 176 open issues, last pushed Jun 25, 2026. [AssetOpsBench](https://github.com/IBM/AssetOpsBench) has 2.1k stars, 294 forks, and 45 open issues, last pushed Jul 26, 2026. Figures are from public GitHub metadata via [agentops's repository](https://github.com/AgentOps-AI/agentops) and [AssetOpsBench's repository](https://github.com/IBM/AssetOpsBench). | | [agentops](/tools/agentops-ai-agentops.md) | [AssetOpsBench](/tools/ibm-assetopsbench.md) | | --- | --- | --- | | Tagline | Python SDK for AI agent monitoring and LLM cost tracking | Framework for building and evaluating AI agents targeting Industry 4.0 asset operations | | Stars | 5,771 | 2,069 | | Forks | 612 | 294 | | Open issues | 176 | 45 | | Language | Python | Python | | Adopt for | AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage. | AssetOpsBench is a specialized framework for developing and evaluating AI agents in Industry 4.0 contexts, with an emphasis on operations and maintenance scenarios including HVAC systems and IoT management. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentops](/tools/agentops-ai-agentops.md) | [AssetOpsBench](/tools/ibm-assetopsbench.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 49d | 0d | | Open issues (now) | 176 | 45 | | Full report | [trust report](/tools/agentops-ai-agentops/trust.md) | [trust report](/tools/ibm-assetopsbench/trust.md) | ## Shared compatibility - **Python**: [agentops](/tools/agentops-ai-agentops.md) - Python runtime; [AssetOpsBench](/tools/ibm-assetopsbench.md) - Python runtime ## 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: AssetOpsBench - **Adopt for:** AssetOpsBench is a specialized framework for developing and evaluating AI agents in Industry 4.0 contexts, with an emphasis on operations and maintenance scenarios including HVAC systems and IoT management. ## Choose when ### Choose agentops if… - License: agentops is MIT, AssetOpsBench is Apache-2.0. - Tags unique to agentops: ai-agents, benchmarking, cost-tracking. - Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK ### Choose AssetOpsBench if… - License: AssetOpsBench is Apache-2.0, agentops is MIT. - Tags unique to AssetOpsBench: ai-for-physical-assets, condition-based-maintenance, hvac-maintenance, iot. - When you need detailed evaluation frameworks for multiple types of AI agents operating in industry environments ## 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 AssetOpsBench - If your project focus is on general-purpose AI outside the domain-specific context of industrial operations - Do not use if you require real-time agent orchestration without any emphasis on condition-based or predictive maintenance in asset management ## Common questions ### What is the difference between agentops and AssetOpsBench? agentops: Python SDK for AI agent monitoring and LLM cost tracking. AssetOpsBench: Framework for building and evaluating AI agents targeting Industry 4.0 asset operations. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentops over AssetOpsBench? Choose agentops over AssetOpsBench when License: agentops is MIT, AssetOpsBench is Apache-2.0; Tags unique to agentops: ai-agents, benchmarking, cost-tracking; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK. ### When should I choose AssetOpsBench over agentops? Choose AssetOpsBench over agentops when License: AssetOpsBench is Apache-2.0, agentops is MIT; Tags unique to AssetOpsBench: ai-for-physical-assets, condition-based-maintenance, hvac-maintenance, iot; When you need detailed evaluation frameworks for multiple types of AI agents operating in industry environments. ### 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 AssetOpsBench? If your project focus is on general-purpose AI outside the domain-specific context of industrial operations Do not use if you require real-time agent orchestration without any emphasis on condition-based or predictive maintenance in asset management ### Is agentops or AssetOpsBench more popular on GitHub? agentops has more GitHub stars (5,771 vs 2,069). Stars measure visibility, not whether either tool fits your constraints. ### Are agentops and AssetOpsBench open source? Yes - both are open-source projects on GitHub (agentops: MIT, AssetOpsBench: Apache-2.0). ### Where can I find alternatives to agentops or AssetOpsBench? GraphCanon lists graph-backed alternatives at [agentops alternatives](/tools/agentops-ai-agentops/alternatives) and [AssetOpsBench alternatives](/tools/ibm-assetopsbench/alternatives) ([agentops markdown twin](/tools/agentops-ai-agentops/alternatives.md), [AssetOpsBench markdown twin](/tools/ibm-assetopsbench/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-ibm-assetopsbench.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentops or AssetOpsBench? agentops: Steady. AssetOpsBench: 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 agentops and AssetOpsBench? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentops trust report](/tools/agentops-ai-agentops/trust); [AssetOpsBench trust report](/tools/ibm-assetopsbench/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/_