Home/Compare/agentops vs trpc-agent-go

Comparison

agentops vs trpc-agent-go

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.

Markdown twin · agentops alternatives · trpc-agent-go alternatives

GraphCanon updated 1w

agentops logo

agentops

AgentOps-AI/agentops

5.8kpushed Jun 25, 2026
vs
trpc-agent-go logo

trpc-agent-go

trpc-group/trpc-agent-go

1.6kpushed Jul 24, 2026

Trust & integrity

Signalagentopstrpc-agent-go
Maintenance
Steady (49d since push)
As of 1w · github_public_v1
Very active (2d since push)
As of 4w · github_public_v1
Provenance
Not a fork · Organization account
As of 1w · github_public_v1
Not a fork · Organization account
As of 4w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

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

Stars

agentops
5.8k
trpc-agent-go
1.6k

Forks

agentops
612
trpc-agent-go
271

Open issues

agentops
176
trpc-agent-go
163

Language

agentops
Python
trpc-agent-go
Go

Adopt for

agentops
AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
trpc-agent-go
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

agentops
-
trpc-agent-go
-

Runtime

agentops
-
trpc-agent-go
-

License

agentops
MIT
trpc-agent-go
Apache-2.0

Last pushed

agentops
Jun 25, 2026
trpc-agent-go
Jul 24, 2026

Categories

agentops
AI Agents, Evaluation & Observability
trpc-agent-go
AI Agents, Evaluation & Observability

Trust and health

Maintenance

agentops
Steady (60%)
trpc-agent-go
Very active (96%)

Days since push

agentops
49d
trpc-agent-go
2d

Open issues (now)

agentops
176
trpc-agent-go
163

Full report

agentops
Trust report
trpc-agent-go
Trust report

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

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

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 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: agentops 5.8k · trpc-agent-go 1.6k (synced Aug 14, 2026).

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 and trpc-agent-go alternatives (agentops markdown twin, trpc-agent-go markdown twin), 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 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; trpc-agent-go trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.