--- title: "agentops vs traceroot" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentops-ai-agentops-vs-traceroot-ai-traceroot" tools: ["agentops-ai-agentops", "traceroot-ai-traceroot"] --- # agentops vs traceroot *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 traceroot if traceroot is an open-source tool aimed at improving the observability and self-healing capabilities of AI agents, providing essential tools to monitor and debug deployed applications. [agentops](https://agentops.ai) reports 5.8k GitHub stars, 625 forks, and 184 open issues, last pushed Jun 25, 2026. [traceroot](https://traceroot.ai) has 762 stars, 243 forks, and 456 open issues, last pushed Sep 10, 2026. Figures are from public GitHub metadata via [agentops's repository](https://github.com/AgentOps-AI/agentops) and [traceroot's repository](https://github.com/traceroot-ai/traceroot). | | [agentops](/tools/agentops-ai-agentops.md) | [traceroot](/tools/traceroot-ai-traceroot.md) | | --- | --- | --- | | Tagline | Python SDK for AI agent monitoring and LLM cost tracking | open-source observability and self-healing layer for AI agents | | Stars | 5,830 | 762 | | Forks | 625 | 243 | | Open issues | 184 | 456 | | Language | Python | TypeScript | | Adopt for | AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage. | Traceroot is an open-source tool aimed at improving the observability and self-healing capabilities of AI agents, providing essential tools to monitor and debug deployed applications. | | Persona | - | - | | Runtime | - | - | | License | MIT | License is Apache 2.0, featuring additional enterprise capabilities under separate license terms. | | 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) | [traceroot](/tools/traceroot-ai-traceroot.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 86d | 0d | | Open issues (now) | 184 | 456 | | Stars delta | +59 (30d) | +60 (30d) | | Open issues delta | +8 (30d) | +55 (30d) | | Full report | [trust report](/tools/agentops-ai-agentops/trust.md) | [trust report](/tools/traceroot-ai-traceroot/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: traceroot - **Adopt for:** Traceroot is an open-source tool aimed at improving the observability and self-healing capabilities of AI agents, providing essential tools to monitor and debug deployed applications. - **License detail:** License is Apache 2.0, featuring additional enterprise capabilities under separate license terms. ## Choose when ### Choose agentops if… - agentops is primarily Python; traceroot is TypeScript. - License: agentops is MIT, traceroot is Other. - Tags unique to agentops: ai-agents, benchmarking, cost-tracking. - Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK ### Choose traceroot if… - traceroot is primarily TypeScript; agentops is Python. - License: traceroot is Other, agentops is MIT. - Tags unique to traceroot: agent-observability, agentic, ai-observability, analytics. - traceroot ships Docker support for self-hosted deployment. - When you need a specific focus on agent-observability in TypeScript-based projects ## 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 traceroot - Avoid if you require direct support for languages other than TypeScript as primary focus - Not suitable if experimental features like k8s hosting with Helm and Terraform on AWS are considered too unstable for production use - Skip this if your project needs a specific license different from Apache 2.0, excluding enterprise-locked features ## Common questions ### What is the difference between agentops and traceroot? agentops: Python SDK for AI agent monitoring and LLM cost tracking. traceroot: open-source observability and self-healing layer for AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentops over traceroot? Choose agentops over traceroot when agentops is primarily Python; traceroot is TypeScript; License: agentops is MIT, traceroot is Other; Tags unique to agentops: ai-agents, benchmarking, cost-tracking; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK. ### When should I choose traceroot over agentops? Choose traceroot over agentops when traceroot is primarily TypeScript; agentops is Python; License: traceroot is Other, agentops is MIT; Tags unique to traceroot: agent-observability, agentic, ai-observability, analytics; traceroot ships Docker support for self-hosted deployment; When you need a specific focus on agent-observability in TypeScript-based projects. ### 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 traceroot? Avoid if you require direct support for languages other than TypeScript as primary focus Not suitable if experimental features like k8s hosting with Helm and Terraform on AWS are considered too unstable for production use Skip this if your project needs a specific license different from Apache 2.0, excluding enterprise-locked features ### Is agentops or traceroot more popular on GitHub? agentops has more GitHub stars (5,830 vs 762). Stars measure visibility, not whether either tool fits your constraints. ### Are agentops and traceroot open source? Yes - both are open-source projects on GitHub (agentops: MIT, traceroot: Other). ### Where can I find alternatives to agentops or traceroot? GraphCanon lists graph-backed alternatives at [agentops alternatives](/tools/agentops-ai-agentops/alternatives) and [traceroot alternatives](/tools/traceroot-ai-traceroot/alternatives) ([agentops markdown twin](/tools/agentops-ai-agentops/alternatives.md), [traceroot markdown twin](/tools/traceroot-ai-traceroot/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-traceroot-ai-traceroot.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentops or traceroot? agentops: Steady. traceroot: 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 traceroot? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentops trust report](/tools/agentops-ai-agentops/trust); [traceroot trust report](/tools/traceroot-ai-traceroot/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/_