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 tracing detailed interactions within AI applications on OpenTelemetry.
Markdown twin · agentwatch alternatives · traceAI alternatives
GraphCanon updated 6d
Trust & integrity
| Signal | agentwatch | traceAI |
|---|---|---|
| Maintenance | Dormant (451d 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
- agentwatch
- A powerful AI observability framework for monitoring and optimizing AI-driven applications.
- traceAI
- Open-source observability for AI applications - trace every LLM call, prompt, token, retrieval step, and agent decision.
Stars
- agentwatch
- 122
- traceAI
- 212
Forks
- agentwatch
- 11
- traceAI
- 39
Open issues
- agentwatch
- 0
- traceAI
- 11
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 tracing detailed interactions within AI applications on OpenTelemetry.
Persona
- agentwatch
- -
- traceAI
- -
Runtime
- agentwatch
- -
- traceAI
- -
License
- agentwatch
- Apache-2.0
- traceAI
- Apache-2.0
Last pushed
- agentwatch
- May 14, 2025
- traceAI
- Aug 11, 2026
Categories
- agentwatch
- AI Agents, Evaluation & Observability
- traceAI
- Evaluation & Observability
Trust and health
Maintenance
- agentwatch
- Dormant (18%)
- traceAI
- Very active (96%)
Days since push
- agentwatch
- 451d
- traceAI
- 3d
Open issues (now)
- agentwatch
- 0
- traceAI
- 11
Stars delta
- agentwatch
- Unknown
- traceAI
- +9 (30d)
Open issues delta
- agentwatch
- Unknown
- traceAI
- +2 (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
Choose traceAI if…
- Tags unique to traceAI: ai, ai-agents, langchain, observability.
- When you need to trace and troubleshoot specific LLMOps in Python, TypeScript, Java, or C#
- More GitHub stars (212 vs 122) - visibility, not fit.
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 (cyberark/agentwatch) · observed Aug 9, 2026
- GitHub forks (cyberark/agentwatch) · observed Aug 9, 2026
- Last push (cyberark/agentwatch) · observed May 14, 2025
- License file (Apache-2.0) · observed Aug 9, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (future-agi/traceAI) · observed Aug 15, 2026
- GitHub forks (future-agi/traceAI) · observed Aug 15, 2026
- Last push (future-agi/traceAI) · observed Aug 11, 2026
- License file (Apache-2.0) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentwatch 122 · traceAI 212 (synced Aug 9, 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 - 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 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 Tags unique to traceAI: ai, ai-agents, langchain, observability; When you need to trace and troubleshoot specific LLMOps in Python, TypeScript, Java, or C#; More GitHub stars (212 vs 122) - visibility, not fit.
- 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 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 agentwatch or traceAI more popular on GitHub?
- traceAI has more GitHub stars (212 vs 122). 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: 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 agentwatch and traceAI?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentwatch trust report; traceAI trust report.