---
title: "humanbound vs myclaw-bench"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/humanbound-humanbound-vs-leoyeai-myclaw-bench"
tools: ["humanbound-humanbound", "leoyeai-myclaw-bench"]
---

# humanbound vs myclaw-bench

*GraphCanon updated Aug 9, 2026*

## Verdict

Pick humanbound if humanbound is an adversarial testing engine and SDK in Python designed specifically for evaluating the robustness of AI agents against various security threats; pick myclaw-bench if myclaw-bench is a benchmark suite comprising 45 tasks across four tiers designed for evaluating AI agents within the OpenClaw platform.

[humanbound](https://docs.humanbound.ai/) reports 118 GitHub stars, 13 forks, and 10 open issues, last pushed Aug 6, 2026. [myclaw-bench](https://myclaw.ai) has 227 stars, 38 forks, and 2 open issues, last pushed Jul 20, 2026. Figures are from public GitHub metadata via [humanbound's repository](https://github.com/humanbound/humanbound) and [myclaw-bench's repository](https://github.com/LeoYeAI/myclaw-bench).

| | [humanbound](/tools/humanbound-humanbound.md) | [myclaw-bench](/tools/leoyeai-myclaw-bench.md) |
| --- | --- | --- |
| Tagline | Adversarial Testing Engine and SDK for AI Agents | Benchmark for AI agents on OpenClaw |
| Stars | 118 | 227 |
| Forks | 13 | 38 |
| Open issues | 10 | 2 |
| Language | Python | Python |
| Adopt for | humanbound is an adversarial testing engine and SDK in Python designed specifically for evaluating the robustness of AI agents against various security threats. | myclaw-bench is a benchmark suite comprising 45 tasks across four tiers designed for evaluating AI agents within the OpenClaw platform. |
| Persona | - | - |
| Runtime | - | - |
| License | Other | MIT |
| Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability |

## Trust and health

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

| | [humanbound](/tools/humanbound-humanbound.md) | [myclaw-bench](/tools/leoyeai-myclaw-bench.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Active (82%) |
| Days since push | 3d | 8d |
| Open issues (now) | 10 | 2 |
| Owner type | Organization | User |
| Full report | [trust report](/tools/humanbound-humanbound/trust.md) | [trust report](/tools/leoyeai-myclaw-bench/trust.md) |

## Shared compatibility

- **Python**: [humanbound](/tools/humanbound-humanbound.md) - Python runtime; [myclaw-bench](/tools/leoyeai-myclaw-bench.md) - Python runtime

## Decision facts: humanbound

- **Adopt for:** humanbound is an adversarial testing engine and SDK in Python designed specifically for evaluating the robustness of AI agents against various security threats.

## Decision facts: myclaw-bench

- **Requirements:** Requires Python version 3.10 or higher to execute the benchmark tasks.; Necessitates installation of the 'uv' package manager from Astral for dependencies management.
- **Adopt for:** myclaw-bench is a benchmark suite comprising 45 tasks across four tiers designed for evaluating AI agents within the OpenClaw platform.

## Choose when

### Choose humanbound if…

- License: humanbound is Other, myclaw-bench is MIT.
- Tags unique to humanbound: adversarial-testing, agentic-ai, ai-agents, llm security.
- When you need to test your AI agent's resilience against prompt injection attacks, utilize humanbound’s specialized features tailored for this purpose

### Choose myclaw-bench if…

- License: myclaw-bench is MIT, humanbound is Other.
- Requirements: Requires Python version 3.10 or higher to execute the benchmark tasks.; Necessitates installation of the 'uv' package manager from Astral for dependencies management..
- Tags unique to myclaw-bench: ai-agent-evaluation, benchmarking-tools, openclaw.
- Use myclaw-bench if you are developing AI agents specifically for deployment on the OpenClaw platform, as it offers a precise evaluation tailored to this ecosystem.

## When NOT to use humanbound

- Avoid using humanbound if your project does not involve AI agents or is not concerned about adversarial robustness since the tool's functionality might be overly specific
- Do not use humanbound in environments where an open-source solution is restricted, particularly considering its licensing and trademark policies

## When NOT to use myclaw-bench

- Avoid using myclaw-bench if your AI agents will not be deployed on the OpenClaw platform, as its benchmarks are specifically designed to test within this framework.
- Do not use if you require synthetic tests for controlling variables in a highly abstracted scenario, since myclaw-bench exclusively leverages real agent session data.

## Common questions

### What is the difference between humanbound and myclaw-bench?

humanbound: Adversarial Testing Engine and SDK for AI Agents. myclaw-bench: Benchmark for AI agents on OpenClaw. See the comparison table for live GitHub stats and shared categories.

### When should I choose humanbound over myclaw-bench?

Choose humanbound over myclaw-bench when License: humanbound is Other, myclaw-bench is MIT; Tags unique to humanbound: adversarial-testing, agentic-ai, ai-agents, llm security; When you need to test your AI agent's resilience against prompt injection attacks, utilize humanbound’s specialized features tailored for this purpose.

### When should I choose myclaw-bench over humanbound?

Choose myclaw-bench over humanbound when License: myclaw-bench is MIT, humanbound is Other; Requirements: Requires Python version 3.10 or higher to execute the benchmark tasks.; Necessitates installation of the 'uv' package manager from Astral for dependencies management.; Tags unique to myclaw-bench: ai-agent-evaluation, benchmarking-tools, openclaw; Use myclaw-bench if you are developing AI agents specifically for deployment on the OpenClaw platform, as it offers a precise evaluation tailored to this ecosystem.

### When should I avoid humanbound?

Avoid using humanbound if your project does not involve AI agents or is not concerned about adversarial robustness since the tool's functionality might be overly specific Do not use humanbound in environments where an open-source solution is restricted, particularly considering its licensing and trademark policies

### When should I avoid myclaw-bench?

Avoid using myclaw-bench if your AI agents will not be deployed on the OpenClaw platform, as its benchmarks are specifically designed to test within this framework. Do not use if you require synthetic tests for controlling variables in a highly abstracted scenario, since myclaw-bench exclusively leverages real agent session data.

### Is humanbound or myclaw-bench more popular on GitHub?

myclaw-bench has more GitHub stars (227 vs 118). Stars measure visibility, not whether either tool fits your constraints.

### Are humanbound and myclaw-bench open source?

Yes - both are open-source projects on GitHub (humanbound: Other, myclaw-bench: MIT).

### Where can I find alternatives to humanbound or myclaw-bench?

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

### Which is better maintained, humanbound or myclaw-bench?

humanbound: Very active. myclaw-bench: 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 humanbound and myclaw-bench?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [humanbound trust report](/tools/humanbound-humanbound/trust); [myclaw-bench trust report](/tools/leoyeai-myclaw-bench/trust).

---

**Machine-readable endpoints**

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