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Comparison

agentwatch vs traceAI

Verdict

Pick agentwatch if agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions; pick traceAI if traceAI is an open-source observability framework for AI applications, built on OpenTelemetry, that provides structured tracing for LLM calls, prompts, token counts, retrieval steps, and agent decisions.

Markdown twin · agentwatch alternatives · traceAI alternatives

GraphCanon updated Sep 20, 2026

10views this month

agentwatch logo

agentwatch

cyberark/agentwatch

★ 125pushed May 14, 2025
vs
traceAI logo

traceAI

future-agi/traceAI

★ 221pushed Aug 27, 2026

Trust & integrity

SignalagentwatchtraceAI
Maintenance
Dormant (483d since push)
As of Sep 10, 2026 · github_public_v1
Active (21d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 10, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 15, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 2026 · 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
agentwatch trust reporttraceAI trust reportTrust methodology

Tagline

agentwatch
A powerful AI observability framework for monitoring and optimizing AI-driven applications.
traceAI
Open-source observability for AI applications

Stars

agentwatch
125
traceAI
221

Forks

agentwatch
11
traceAI
44

Open issues

agentwatch
0
traceAI
15

Language

agentwatch
Python
traceAI
Python

Adopt for

agentwatch
Agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions.
traceAI
traceAI is an open-source observability framework for AI applications, built on OpenTelemetry, that provides structured tracing for LLM calls, prompts, token counts, retrieval steps, and agent decisions.

Persona

agentwatch
-
traceAI
-

Runtime

agentwatch
-
traceAI
-

License

agentwatch
Apache-2.0
traceAI
traceAI is available under the Apache-2.0 license, allowing for free use, modification, and distribution.

Last pushed

agentwatch
May 14, 2025
traceAI
Aug 27, 2026

Categories

agentwatch
AI Agents, Evaluation & Observability
traceAI
Evaluation & Observability

Trust and health

Maintenance

agentwatch
Dormant (18%)
traceAI
Active (82%)

Days since push

agentwatch
483d
traceAI
21d

Open issues (now)

agentwatch
0
traceAI
15

Stars delta

agentwatch
+3 (30d)
traceAI
+9 (30d)

Open issues delta

agentwatch
0 (30d)
traceAI
+4 (30d)

Full report

agentwatch
Trust report
traceAI
Trust report

Shared compatibility

  • Python · agentwatch: Python runtime · traceAI: Python runtime

Choose agentwatch if…

  • Tags unique to agentwatch: agent, agentic-ai, cybersecurity, llm-observability.
  • Also covers AI Agents.
  • When your focus is on monitoring and analyzing AI-driven applications, especially those involving cybersecurity and large language models

When NOT to use agentwatch

  • For scenarios where the user interface aspect of observability is not preferred or required, as Agentwatch emphasizes an intuitive UI for insight into AI operations
  • When prioritizing support for non-Python environments since Agentwatch is specifically developed in Python and could limit usability in other ecosystems
GitHubDetails

Choose traceAI if…

  • Pricing: traceAI is free and open-source, but users may incur costs based on the backend services they choose to integrate with..
  • Requirements: Min 2 GB RAM; Python, TypeScript, Java, and C# are supported.; Requires OpenTelemetry-compatible backend for trace storage and visualization..
  • Tags unique to traceAI: ai, ai-agents, langchain, observability.
  • When you need to trace every LLM call, prompt, token count, retrieval step, and agent decision in your AI application.

When NOT to use traceAI

  • If your project does not require detailed tracing of LLM calls, prompts, token counts, retrieval steps, and agent decisions.
  • When you are working exclusively with a single AI framework that does not require cross-language consistency.
  • If you are looking for a solution that is not open-source or does not support OpenTelemetry.
  • When you prefer a vendor-specific solution over a vendor-agnostic approach.
GitHubDetails

Explore

agentwatch trust report →traceAI trust report →AI Agents category →Evaluation & Observability category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: agentwatch 125 · traceAI 221 (synced Sep 20, 2026).

Common questions

What is the difference between agentwatch and traceAI?
agentwatch: A powerful AI observability framework for monitoring and optimizing AI-driven applications.. traceAI: Open-source observability for AI applications. See the comparison table for live GitHub stats and shared categories.
When should I choose agentwatch over traceAI?
Choose agentwatch over traceAI when Tags unique to agentwatch: agent, agentic-ai, cybersecurity, llm-observability; Also covers AI Agents; When your focus is on monitoring and analyzing AI-driven applications, especially those involving cybersecurity and large language models.
When should I choose traceAI over agentwatch?
Choose traceAI over agentwatch when Pricing: traceAI is free and open-source, but users may incur costs based on the backend services they choose to integrate with.; Requirements: Min 2 GB RAM; Python, TypeScript, Java, and C# are supported.; Requires OpenTelemetry-compatible backend for trace storage and visualization.; Tags unique to traceAI: ai, ai-agents, langchain, observability; When you need to trace every LLM call, prompt, token count, retrieval step, and agent decision in your AI application.
When should I avoid agentwatch?
For scenarios where the user interface aspect of observability is not preferred or required, as Agentwatch emphasizes an intuitive UI for insight into AI operations When prioritizing support for non-Python environments since Agentwatch is specifically developed in Python and could limit usability in other ecosystems
When should I avoid traceAI?
If your project does not require detailed tracing of LLM calls, prompts, token counts, retrieval steps, and agent decisions. When you are working exclusively with a single AI framework that does not require cross-language consistency. If you are looking for a solution that is not open-source or does not support OpenTelemetry. When you prefer a vendor-specific solution over a vendor-agnostic approach.
Is agentwatch or traceAI more popular on GitHub?
traceAI has more GitHub stars (221 vs 125). Stars measure visibility, not whether either tool fits your constraints.
Are agentwatch and traceAI open source?
Yes - both are open-source projects on GitHub (agentwatch: Apache-2.0, traceAI: Apache-2.0).
Where can I find alternatives to agentwatch or traceAI?
GraphCanon lists graph-backed alternatives at agentwatch alternatives and traceAI alternatives (agentwatch 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, agentwatch or traceAI?
agentwatch: Dormant. traceAI: 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 agentwatch and traceAI?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentwatch trust report; traceAI trust report.

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