---
title: "agentwatch vs gpu-telemetry"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/cyberark-agentwatch-vs-last9-gpu-telemetry"
tools: ["cyberark-agentwatch", "last9-gpu-telemetry"]
---

# agentwatch vs gpu-telemetry

*GraphCanon updated Sep 20, 2026*

## 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 gpu-telemetry if gpu-telemetry provides comprehensive GPU observability in Kubernetes and Slurm environments by tying hardware metrics to the workload causing them.

[agentwatch](https://www.cyberark.com) reports 125 GitHub stars, 11 forks, and 0 open issues, last pushed May 14, 2025. [gpu-telemetry](https://last9.io/gpu-observability/) has 66 stars, 8 forks, and 5 open issues, last pushed Aug 2, 2026. Figures are from public GitHub metadata via [agentwatch's repository](https://github.com/cyberark/agentwatch) and [gpu-telemetry's repository](https://github.com/last9/gpu-telemetry).

| | [agentwatch](/tools/cyberark-agentwatch.md) | [gpu-telemetry](/tools/last9-gpu-telemetry.md) |
| --- | --- | --- |
| Tagline | A powerful AI observability framework for monitoring and optimizing AI-driven applications. | GPU Observability with Workload Attribution |
| Stars | 125 | 66 |
| Forks | 11 | 8 |
| Open issues | 0 | 5 |
| Language | Python | Python |
| Adopt for | Agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions. | gpu-telemetry provides comprehensive GPU observability in Kubernetes and Slurm environments by tying hardware metrics to the workload causing them. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | MIT |
| Categories | AI Agents, Evaluation & Observability | Evaluation & Observability |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [agentwatch](/tools/cyberark-agentwatch.md) | [gpu-telemetry](/tools/last9-gpu-telemetry.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Steady (60%) |
| Days since push | 483d | 39d |
| Open issues (now) | 0 | 5 |
| Stars delta | +3 (30d) | +9 (30d) |
| Full report | [trust report](/tools/cyberark-agentwatch/trust.md) | [trust report](/tools/last9-gpu-telemetry/trust.md) |

## Shared compatibility

- **Python**: [agentwatch](/tools/cyberark-agentwatch.md) - Python runtime; [gpu-telemetry](/tools/last9-gpu-telemetry.md) - Python runtime

## Decision facts: agentwatch

- **Adopt for:** Agentwatch is an AI observability framework for monitoring and optimizing cybersecurity and large language model operations with comprehensive insights into agent interactions.

## Decision facts: gpu-telemetry

- **Adopt for:** gpu-telemetry provides comprehensive GPU observability in Kubernetes and Slurm environments by tying hardware metrics to the workload causing them.

## Choose when

### Choose agentwatch if…

- License: agentwatch is Apache-2.0, gpu-telemetry is MIT.
- Tags unique to agentwatch: agent, agentic-ai, cybersecurity, large-language-models.
- Also covers AI Agents.
- When your focus is on monitoring and analyzing AI-driven applications, especially those involving cybersecurity and large language models

### Choose gpu-telemetry if…

- License: gpu-telemetry is MIT, agentwatch is Apache-2.0.
- Tags unique to gpu-telemetry: amd, gpu-monitoring, intel-gaudi-base-operator, kubernetes.
- When monitoring NVIDIA, AMD, or Intel Gaudi GPUs in Kubernetes clusters.

## 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

## When NOT to use gpu-telemetry

- If your infrastructure is not based on Kubernetes or Slurm.
- When you prefer tools that do not require per-node OTLP agents.
- For environments without support for NVIDIA, AMD, or Intel Gaudi GPUs.

## Common questions

### What is the difference between agentwatch and gpu-telemetry?

agentwatch: A powerful AI observability framework for monitoring and optimizing AI-driven applications.. gpu-telemetry: GPU Observability with Workload Attribution. See the comparison table for live GitHub stats and shared categories.

### When should I choose agentwatch over gpu-telemetry?

Choose agentwatch over gpu-telemetry when License: agentwatch is Apache-2.0, gpu-telemetry is MIT; Tags unique to agentwatch: agent, agentic-ai, cybersecurity, large-language-models; 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 gpu-telemetry over agentwatch?

Choose gpu-telemetry over agentwatch when License: gpu-telemetry is MIT, agentwatch is Apache-2.0; Tags unique to gpu-telemetry: amd, gpu-monitoring, intel-gaudi-base-operator, kubernetes; When monitoring NVIDIA, AMD, or Intel Gaudi GPUs in Kubernetes clusters.

### 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 gpu-telemetry?

If your infrastructure is not based on Kubernetes or Slurm. When you prefer tools that do not require per-node OTLP agents. For environments without support for NVIDIA, AMD, or Intel Gaudi GPUs.

### Is agentwatch or gpu-telemetry more popular on GitHub?

agentwatch has more GitHub stars (125 vs 66). Stars measure visibility, not whether either tool fits your constraints.

### Are agentwatch and gpu-telemetry open source?

Yes - both are open-source projects on GitHub (agentwatch: Apache-2.0, gpu-telemetry: MIT).

### Where can I find alternatives to agentwatch or gpu-telemetry?

GraphCanon lists graph-backed alternatives at [agentwatch alternatives](/tools/cyberark-agentwatch/alternatives) and [gpu-telemetry alternatives](/tools/last9-gpu-telemetry/alternatives) ([agentwatch markdown twin](/tools/cyberark-agentwatch/alternatives.md), [gpu-telemetry markdown twin](/tools/last9-gpu-telemetry/alternatives.md)), 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](/compare/cyberark-agentwatch-vs-last9-gpu-telemetry.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, agentwatch or gpu-telemetry?

agentwatch: Dormant. gpu-telemetry: Steady. 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 gpu-telemetry?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentwatch trust report](/tools/cyberark-agentwatch/trust); [gpu-telemetry trust report](/tools/last9-gpu-telemetry/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=cyberark-agentwatch`](/api/graphcanon/graph?tool=cyberark-agentwatch)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
