Home/Compare/agentops vs traceAI

Comparison

agentops vs traceAI

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.

Markdown twin · agentops alternatives · traceAI alternatives

GraphCanon updated 6d

agentops logo

agentops

AgentOps-AI/agentops

5.8kpushed Jun 25, 2026
vs
traceAI logo

traceAI

future-agi/traceAI

212pushed Aug 11, 2026

Trust & integrity

SignalagentopstraceAI
Maintenance
Steady (49d since push)
As of 1w · github_public_v1
Very active (3d since push)
As of 6d · github_public_v1
Provenance
Not a fork · Organization account
As of 1w · github_public_v1
Not a fork · Organization account
As of 6d · 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
traceAI
Open-source observability for AI applications - trace every LLM call, prompt, token, retrieval step, and agent decision.

Stars

agentops
5.8k
traceAI
212

Forks

agentops
612
traceAI
39

Open issues

agentops
176
traceAI
11

Language

agentops
Python
traceAI
Python

Adopt for

agentops
AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
traceAI
traceAI is an open-source observability framework for tracing detailed interactions within AI applications on OpenTelemetry.

Persona

agentops
-
traceAI
-

Runtime

agentops
-
traceAI
-

License

agentops
MIT
traceAI
Apache-2.0

Last pushed

agentops
Jun 25, 2026
traceAI
Aug 11, 2026

Categories

agentops
AI Agents, Evaluation & Observability
traceAI
Evaluation & Observability

Trust and health

Maintenance

agentops
Steady (60%)
traceAI
Very active (96%)

Days since push

agentops
49d
traceAI
3d

Open issues (now)

agentops
176
traceAI
11

Stars delta

agentops
Unknown
traceAI
+9 (30d)

Open issues delta

agentops
Unknown
traceAI
+2 (30d)

Full report

agentops
Trust report

Shared compatibility

  • Python · agentops: Python runtime · traceAI: Python runtime

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

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 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 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

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 · traceAI 212 (synced Aug 14, 2026).

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 and traceAI alternatives (agentops markdown twin, traceAI 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 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; traceAI trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.