--- title: "agentops vs traceAI" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentops-ai-agentops-vs-future-agi-traceai" tools: ["agentops-ai-agentops", "future-agi-traceai"] --- # agentops vs traceAI *GraphCanon updated Aug 15, 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 traceAI if traceAI is an open-source observability framework for tracing detailed interactions within AI applications on OpenTelemetry. [agentops](https://agentops.ai) reports 5.8k GitHub stars, 612 forks, and 176 open issues, last pushed Jun 25, 2026. [traceAI](https://app.futureagi.com) has 212 stars, 39 forks, and 11 open issues, last pushed Aug 11, 2026. Figures are from public GitHub metadata via [agentops's repository](https://github.com/AgentOps-AI/agentops) and [traceAI's repository](https://github.com/future-agi/traceAI). | | [agentops](/tools/agentops-ai-agentops.md) | [traceAI](/tools/future-agi-traceai.md) | | --- | --- | --- | | Tagline | Python SDK for AI agent monitoring and LLM cost tracking | Open-source observability for AI applications - trace every LLM call, prompt, token, retrieval step, and agent decision. | | Stars | 5,771 | 212 | | Forks | 612 | 39 | | Open issues | 176 | 11 | | 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. | traceAI is an open-source observability framework for tracing detailed interactions within AI applications on OpenTelemetry. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability | Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentops](/tools/agentops-ai-agentops.md) | [traceAI](/tools/future-agi-traceai.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 49d | 3d | | Open issues (now) | 176 | 11 | | Stars delta | Unknown | +9 (30d) | | Open issues delta | Unknown | +2 (30d) | | Full report | [trust report](/tools/agentops-ai-agentops/trust.md) | [trust report](/tools/future-agi-traceai/trust.md) | ## Shared compatibility - **Python**: [agentops](/tools/agentops-ai-agentops.md) - Python runtime; [traceAI](/tools/future-agi-traceai.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: traceAI - **Adopt for:** traceAI is an open-source observability framework for tracing detailed interactions within AI applications on OpenTelemetry. ## Choose when ### Choose agentops if… - License: agentops is MIT, traceAI is Apache-2.0. - Tags unique to agentops: benchmarking, cost-tracking. - Also covers AI Agents. - Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK ### Choose traceAI if… - License: traceAI is Apache-2.0, agentops is MIT. - Tags unique to traceAI: ai, langchain, large language models, observability. - When you need to trace and troubleshoot specific LLMOps in Python, TypeScript, Java, or C# ## 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 traceAI - If your project does not require fine-grained tracing and you are satisfied with higher-level monitoring tools - When the overhead of instrumenting every LLM call, prompt, token count, retrieval step, and agent decision introduces unacceptable performance degradation to your application - In case of incompatibilities or lack of support for specific frameworks or languages not covered by traceAI's comprehensive but limited set of integrations ## Common questions ### What is the difference between agentops and traceAI? agentops: Python SDK for AI agent monitoring and LLM cost tracking. traceAI: Open-source observability for AI applications - trace every LLM call, prompt, token, retrieval step, and agent decision.. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentops over traceAI? Choose agentops over traceAI when License: agentops is MIT, traceAI is Apache-2.0; 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 traceAI over agentops? Choose traceAI over agentops when License: traceAI is Apache-2.0, agentops is MIT; Tags unique to traceAI: ai, langchain, large language models, observability; When you need to trace and troubleshoot specific LLMOps in Python, TypeScript, Java, or C#. ### 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 traceAI? If your project does not require fine-grained tracing and you are satisfied with higher-level monitoring tools When the overhead of instrumenting every LLM call, prompt, token count, retrieval step, and agent decision introduces unacceptable performance degradation to your application In case of incompatibilities or lack of support for specific frameworks or languages not covered by traceAI's comprehensive but limited set of integrations ### Is agentops or traceAI more popular on GitHub? agentops has more GitHub stars (5,771 vs 212). Stars measure visibility, not whether either tool fits your constraints. ### Are agentops and traceAI open source? Yes - both are open-source projects on GitHub (agentops: MIT, traceAI: Apache-2.0). ### Where can I find alternatives to agentops or traceAI? GraphCanon lists graph-backed alternatives at [agentops alternatives](/tools/agentops-ai-agentops/alternatives) and [traceAI alternatives](/tools/future-agi-traceai/alternatives) ([agentops markdown twin](/tools/agentops-ai-agentops/alternatives.md), [traceAI markdown twin](/tools/future-agi-traceai/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-future-agi-traceai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentops or traceAI? agentops: Steady. traceAI: 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 traceAI? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentops trust report](/tools/agentops-ai-agentops/trust); [traceAI trust report](/tools/future-agi-traceai/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/_