---
title: "kubeshark vs agentcanvas"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/kubeshark-kubeshark-vs-vstorm-co-agentcanvas"
tools: ["kubeshark-kubeshark", "vstorm-co-agentcanvas"]
---

# kubeshark vs agentcanvas

*GraphCanon updated Aug 26, 2026*

## Verdict

Pick kubeshark if kubeshark is an eBPF-powered network observability tool for Kubernetes that offers full L4/L7 traffic indexing and TLS decryption without needing keys; pick agentcanvas if agentcanvas is for developers and AI practitioners who require detailed visual representations of Pydantic AI agent workflows, including cost breakdowns, extracted from Logfire traces.

[kubeshark](https://kubeshark.com) reports 12k GitHub stars, 545 forks, and 146 open issues, last pushed Aug 25, 2026. [agentcanvas](https://vstorm.co) has 79 stars, 9 forks, and 0 open issues, last pushed Aug 1, 2026. Figures are from public GitHub metadata via [kubeshark's repository](https://github.com/kubeshark/kubeshark) and [agentcanvas's repository](https://github.com/vstorm-co/agentcanvas).

| | [kubeshark](/tools/kubeshark-kubeshark.md) | [agentcanvas](/tools/vstorm-co-agentcanvas.md) |
| --- | --- | --- |
| Tagline | eBPF-powered network observability for Kubernetes | Visualize Pydantic AI agent workflows using Logfire traces |
| Stars | 12,056 | 79 |
| Forks | 545 | 9 |
| Open issues | 146 | 0 |
| Language | Go | Python |
| Adopt for | Kubeshark is an eBPF-powered network observability tool for Kubernetes that offers full L4/L7 traffic indexing and TLS decryption without needing keys. | agentcanvas is for developers and AI practitioners who require detailed visual representations of Pydantic AI agent workflows, including cost breakdowns, extracted from Logfire traces. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | MIT |
| Categories | Evaluation & Observability | AI Agents, Evaluation & Observability |

## Trust and health

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

| | [kubeshark](/tools/kubeshark-kubeshark.md) | [agentcanvas](/tools/vstorm-co-agentcanvas.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Active (82%) |
| Days since push | 0d | 7d |
| Open issues (now) | 146 | 0 |
| Stars delta | +42 (30d) | Unknown |
| Open issues delta | +5 (30d) | Unknown |
| Full report | [trust report](/tools/kubeshark-kubeshark/trust.md) | [trust report](/tools/vstorm-co-agentcanvas/trust.md) |

## Decision facts: kubeshark

- **Adopt for:** Kubeshark is an eBPF-powered network observability tool for Kubernetes that offers full L4/L7 traffic indexing and TLS decryption without needing keys.

## Decision facts: agentcanvas

- **Adopt for:** agentcanvas is for developers and AI practitioners who require detailed visual representations of Pydantic AI agent workflows, including cost breakdowns, extracted from Logfire traces.

## Choose when

### Choose kubeshark if…

- kubeshark is primarily Go; agentcanvas is Python.
- License: kubeshark is Apache-2.0, agentcanvas is MIT.
- Tags unique to kubeshark: cloud-native, devops, docker, ebpf.
- - When you need to perform deep inspection of Kubernetes traffic on both layer 4 (transport) and layer 7 (application), with contextual information from the Kubernetes environment

### Choose agentcanvas if…

- agentcanvas is primarily Python; kubeshark is Go.
- License: agentcanvas is MIT, kubeshark is Apache-2.0.
- Tags unique to agentcanvas: agents, ai-agents, genai, llm.
- Also covers AI Agents.
- To generate interactive HTML diagrams that provide visibility into the tools, sub-agents, tokens, and costs involved in running a Pydantic AI agent.

## When NOT to use kubeshark

- - If your primary focus is on a different cloud platform as Kubeshark is deeply integrated with Kubernetes and provides its full context along side traffic observations
- - When the system does not support eBPF, which is critical for Kubeshark's operation

## When NOT to use agentcanvas

- If your AI agents are not built using Pydantic or do not utilize Logfire for tracing, as agentcanvas specifically works with these technologies.
- When the level of detail provided in the HTML diagrams is unnecessary or when you lack access to the required Logfire traces and associated tokens.

## Common questions

### What is the difference between kubeshark and agentcanvas?

kubeshark: eBPF-powered network observability for Kubernetes. agentcanvas: Visualize Pydantic AI agent workflows using Logfire traces. See the comparison table for live GitHub stats and shared categories.

### When should I choose kubeshark over agentcanvas?

Choose kubeshark over agentcanvas when kubeshark is primarily Go; agentcanvas is Python; License: kubeshark is Apache-2.0, agentcanvas is MIT; Tags unique to kubeshark: cloud-native, devops, docker, ebpf; - When you need to perform deep inspection of Kubernetes traffic on both layer 4 (transport) and layer 7 (application), with contextual information from the Kubernetes environment.

### When should I choose agentcanvas over kubeshark?

Choose agentcanvas over kubeshark when agentcanvas is primarily Python; kubeshark is Go; License: agentcanvas is MIT, kubeshark is Apache-2.0; Tags unique to agentcanvas: agents, ai-agents, genai, llm; Also covers AI Agents; To generate interactive HTML diagrams that provide visibility into the tools, sub-agents, tokens, and costs involved in running a Pydantic AI agent.

### When should I avoid kubeshark?

- If your primary focus is on a different cloud platform as Kubeshark is deeply integrated with Kubernetes and provides its full context along side traffic observations - When the system does not support eBPF, which is critical for Kubeshark's operation

### When should I avoid agentcanvas?

If your AI agents are not built using Pydantic or do not utilize Logfire for tracing, as agentcanvas specifically works with these technologies. When the level of detail provided in the HTML diagrams is unnecessary or when you lack access to the required Logfire traces and associated tokens.

### Is kubeshark or agentcanvas more popular on GitHub?

kubeshark has more GitHub stars (12,056 vs 79). Stars measure visibility, not whether either tool fits your constraints.

### Are kubeshark and agentcanvas open source?

Yes - both are open-source projects on GitHub (kubeshark: Apache-2.0, agentcanvas: MIT).

### Where can I find alternatives to kubeshark or agentcanvas?

GraphCanon lists graph-backed alternatives at [kubeshark alternatives](/tools/kubeshark-kubeshark/alternatives) and [agentcanvas alternatives](/tools/vstorm-co-agentcanvas/alternatives) ([kubeshark markdown twin](/tools/kubeshark-kubeshark/alternatives.md), [agentcanvas markdown twin](/tools/vstorm-co-agentcanvas/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/kubeshark-kubeshark-vs-vstorm-co-agentcanvas.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, kubeshark or agentcanvas?

kubeshark: Very active. agentcanvas: 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 kubeshark and agentcanvas?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [kubeshark trust report](/tools/kubeshark-kubeshark/trust); [agentcanvas trust report](/tools/vstorm-co-agentcanvas/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=kubeshark-kubeshark`](/api/graphcanon/graph?tool=kubeshark-kubeshark)
- 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/_
