--- title: "agentfield vs agentops" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agent-field-agentfield-vs-agentops-ai-agentops" tools: ["agent-field-agentfield", "agentops-ai-agentops"] --- # agentfield vs agentops *GraphCanon updated Aug 14, 2026* ## Verdict Pick agentfield if agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure; pick agentops if agentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage. [agentfield](http://www.agentfield.ai) reports 2.5k GitHub stars, 392 forks, and 74 open issues, last pushed Aug 1, 2026. [agentops](https://agentops.ai) has 5.8k stars, 612 forks, and 176 open issues, last pushed Jun 25, 2026. Figures are from public GitHub metadata via [agentfield's repository](https://github.com/Agent-Field/agentfield) and [agentops's repository](https://github.com/AgentOps-AI/agentops). | | [agentfield](/tools/agent-field-agentfield.md) | [agentops](/tools/agentops-ai-agentops.md) | | --- | --- | --- | | Tagline | Build, run and scale AI agents like API and microservices | Python SDK for AI agent monitoring and LLM cost tracking | | Stars | 2,472 | 5,771 | | Forks | 392 | 612 | | Open issues | 74 | 176 | | Language | Go | Python | | Adopt for | Agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure. | AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentfield](/tools/agent-field-agentfield.md) | [agentops](/tools/agentops-ai-agentops.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 49d | | Open issues (now) | 74 | 176 | | Full report | [trust report](/tools/agent-field-agentfield/trust.md) | [trust report](/tools/agentops-ai-agentops/trust.md) | ## Decision facts: agentfield - **Adopt for:** Agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure. ## 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. ## Choose when ### Choose agentfield if… - agentfield is primarily Go; agentops is Python. - License: agentfield is Apache-2.0, agentops is MIT. - Tags unique to agentfield: agent-auth, agent-authentication, agent-scaling, agentic-ai. - When you seek to manage and scale your AI agents with robust identity awareness and auditability features from inception. ### Choose agentops if… - agentops is primarily Python; agentfield is Go. - License: agentops is MIT, agentfield is Apache-2.0. - Tags unique to agentops: ai-agents, benchmarking, cost-tracking. - Also covers Evaluation & Observability. - Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK ## When NOT to use agentfield - If your project requires heavy customization in languages other than Go as Agentfield is primarily built using Go which may limit its adaptability in polyglot 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 ## Common questions ### What is the difference between agentfield and agentops? agentfield: Build, run and scale AI agents like API and microservices. agentops: Python SDK for AI agent monitoring and LLM cost tracking. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentfield over agentops? Choose agentfield over agentops when agentfield is primarily Go; agentops is Python; License: agentfield is Apache-2.0, agentops is MIT; Tags unique to agentfield: agent-auth, agent-authentication, agent-scaling, agentic-ai; When you seek to manage and scale your AI agents with robust identity awareness and auditability features from inception. ### When should I choose agentops over agentfield? Choose agentops over agentfield when agentops is primarily Python; agentfield is Go; License: agentops is MIT, agentfield is Apache-2.0; Tags unique to agentops: ai-agents, benchmarking, cost-tracking; Also covers Evaluation & Observability; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK. ### When should I avoid agentfield? If your project requires heavy customization in languages other than Go as Agentfield is primarily built using Go which may limit its adaptability in polyglot 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 ### Is agentfield or agentops more popular on GitHub? agentops has more GitHub stars (5,771 vs 2,472). Stars measure visibility, not whether either tool fits your constraints. ### Are agentfield and agentops open source? Yes - both are open-source projects on GitHub (agentfield: Apache-2.0, agentops: MIT). ### Where can I find alternatives to agentfield or agentops? GraphCanon lists graph-backed alternatives at [agentfield alternatives](/tools/agent-field-agentfield/alternatives) and [agentops alternatives](/tools/agentops-ai-agentops/alternatives) ([agentfield markdown twin](/tools/agent-field-agentfield/alternatives.md), [agentops markdown twin](/tools/agentops-ai-agentops/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/agent-field-agentfield-vs-agentops-ai-agentops.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentfield or agentops? agentfield: Very active. agentops: Steady. 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 agentfield and agentops? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentfield trust report](/tools/agent-field-agentfield/trust); [agentops trust report](/tools/agentops-ai-agentops/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agent-field-agentfield`](/api/graphcanon/graph?tool=agent-field-agentfield) - 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/_