--- title: "agentops vs trpc-agent-go" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentops-ai-agentops-vs-trpc-group-trpc-agent-go" tools: ["agentops-ai-agentops", "trpc-group-trpc-agent-go"] --- # agentops vs trpc-agent-go *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 trpc-agent-go if trpc-agent-go is a Go framework for developing AI agents with A2A communication and AG-UI interfaces, suitable for projects needing production-grade agent systems with graph workflows. [agentops](https://agentops.ai) reports 5.8k GitHub stars, 612 forks, and 176 open issues, last pushed Jun 25, 2026. [trpc-agent-go](https://trpc-group.github.io/trpc-agent-go/) has 1.6k stars, 271 forks, and 163 open issues, last pushed Jul 24, 2026. Figures are from public GitHub metadata via [agentops's repository](https://github.com/AgentOps-AI/agentops) and [trpc-agent-go's repository](https://github.com/trpc-group/trpc-agent-go). | | [agentops](/tools/agentops-ai-agentops.md) | [trpc-agent-go](/tools/trpc-group-trpc-agent-go.md) | | --- | --- | --- | | Tagline | Python SDK for AI agent monitoring and LLM cost tracking | A Go framework for building production agent systems with graph workflows | | Stars | 5,771 | 1,592 | | Forks | 612 | 271 | | Open issues | 176 | 163 | | Language | Python | Go | | Adopt for | AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage. | trpc-agent-go is a Go framework for developing AI agents with A2A communication and AG-UI interfaces, suitable for projects needing production-grade agent systems with graph workflows. | | 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) | [trpc-agent-go](/tools/trpc-group-trpc-agent-go.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 49d | 2d | | Open issues (now) | 176 | 163 | | Full report | [trust report](/tools/agentops-ai-agentops/trust.md) | [trust report](/tools/trpc-group-trpc-agent-go/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: trpc-agent-go - **Hosting:** self hosted - trpc-agent-go operates in a self-hosted mode as it's designed for on-premises or bespoke deployment setups within the developer’s control. - **Pricing:** freemium - Being licensed under Apache-2.0, trpc-agent-go is free to use and modify, but developers may face additional costs related to maintenance and scaling as needed for their production systems. - **Adopt for:** trpc-agent-go is a Go framework for developing AI agents with A2A communication and AG-UI interfaces, suitable for projects needing production-grade agent systems with graph workflows. ## Choose when ### Choose agentops if… - agentops is primarily Python; trpc-agent-go is Go. - License: agentops is MIT, trpc-agent-go is Apache-2.0. - Tags unique to agentops: benchmarking, cost-tracking. - Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK ### Choose trpc-agent-go if… - trpc-agent-go is primarily Go; agentops is Python. - License: trpc-agent-go is Apache-2.0, agentops is MIT. - trpc-agent-go operates in a self-hosted mode as it's designed for on-premises or bespoke deployment setups within the developer’s control. - Pricing: Being licensed under Apache-2.0, trpc-agent-go is free to use and modify, but developers may face additional costs related to maintenance and scaling as needed for their production systems.. - Tags unique to trpc-agent-go: a2a, a2a-protocol, ag-ui, agent-framework. - When you need support for advanced A2A (agent-to-agent) communication protocols in your project, trpc-agent-go provides specialized tools to facilitate this within a Go ecosystem. ## 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 trpc-agent-go - If your project does not require Go language for implementation or lacks the necessity for sophisticated agent-to-agent communication protocols like those supported by trpc-agent-go. - In scenarios where a simpler architecture without dedicated support for graph workflows and extensive observability features is sufficient, trpc-agent-go might introduce unnecessary complexity. ## Common questions ### What is the difference between agentops and trpc-agent-go? agentops: Python SDK for AI agent monitoring and LLM cost tracking. trpc-agent-go: A Go framework for building production agent systems with graph workflows. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentops over trpc-agent-go? Choose agentops over trpc-agent-go when agentops is primarily Python; trpc-agent-go is Go; License: agentops is MIT, trpc-agent-go is Apache-2.0; Tags unique to agentops: benchmarking, cost-tracking; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK. ### When should I choose trpc-agent-go over agentops? Choose trpc-agent-go over agentops when trpc-agent-go is primarily Go; agentops is Python; License: trpc-agent-go is Apache-2.0, agentops is MIT; trpc-agent-go operates in a self-hosted mode as it's designed for on-premises or bespoke deployment setups within the developer’s control; Pricing: Being licensed under Apache-2.0, trpc-agent-go is free to use and modify, but developers may face additional costs related to maintenance and scaling as needed for their production systems.; Tags unique to trpc-agent-go: a2a, a2a-protocol, ag-ui, agent-framework; When you need support for advanced A2A (agent-to-agent) communication protocols in your project, trpc-agent-go provides specialized tools to facilitate this within a Go ecosystem. ### 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 trpc-agent-go? If your project does not require Go language for implementation or lacks the necessity for sophisticated agent-to-agent communication protocols like those supported by trpc-agent-go. In scenarios where a simpler architecture without dedicated support for graph workflows and extensive observability features is sufficient, trpc-agent-go might introduce unnecessary complexity. ### Is agentops or trpc-agent-go more popular on GitHub? agentops has more GitHub stars (5,771 vs 1,592). Stars measure visibility, not whether either tool fits your constraints. ### Are agentops and trpc-agent-go open source? Yes - both are open-source projects on GitHub (agentops: MIT, trpc-agent-go: Apache-2.0). ### Where can I find alternatives to agentops or trpc-agent-go? GraphCanon lists graph-backed alternatives at [agentops alternatives](/tools/agentops-ai-agentops/alternatives) and [trpc-agent-go alternatives](/tools/trpc-group-trpc-agent-go/alternatives) ([agentops markdown twin](/tools/agentops-ai-agentops/alternatives.md), [trpc-agent-go markdown twin](/tools/trpc-group-trpc-agent-go/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-trpc-group-trpc-agent-go.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentops or trpc-agent-go? agentops: Steady. trpc-agent-go: 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 trpc-agent-go? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentops trust report](/tools/agentops-ai-agentops/trust); [trpc-agent-go trust report](/tools/trpc-group-trpc-agent-go/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/_