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
Trust & integrity
| Signal | agentops | trpc-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 (AgentOps-AI/agentops) · observed Aug 14, 2026
- GitHub forks (AgentOps-AI/agentops) · observed Aug 14, 2026
- Last push (AgentOps-AI/agentops) · observed Jun 25, 2026
- License file (MIT) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (trpc-group/trpc-agent-go) · observed Jul 27, 2026
- GitHub forks (trpc-group/trpc-agent-go) · observed Jul 27, 2026
- Last push (trpc-group/trpc-agent-go) · observed Jul 24, 2026
- License file (Apache-2.0) · observed Jul 27, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
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.