---
title: "awesome-ai-agents-security vs plexiglass"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/projectrecon-awesome-ai-agents-security-vs-safellama-plexiglass"
tools: ["projectrecon-awesome-ai-agents-security", "safellama-plexiglass"]
---

# awesome-ai-agents-security vs plexiglass

*GraphCanon updated Aug 9, 2026*

## Verdict

Pick awesome-ai-agents-security if awesome-ai-agents-security is a curated list of open-source tools for securing autonomous AI agents, covering the security lifecycle from red teaming to runtime protection; pick plexiglass if plexiglass is a toolkit for detecting and mitigating vulnerabilities in Large Language Models through adversarial attacks and deep-learning techniques.

[awesome-ai-agents-security](https://github.com/ProjectRecon/awesome-ai-agents-security) reports 59 GitHub stars, 74 forks, and 61 open issues, last pushed Jun 12, 2026. [plexiglass](https://github.com/safellama/plexiglass) has 153 stars, 18 forks, and 0 open issues, last pushed Feb 4, 2026. Figures are from public GitHub metadata via [awesome-ai-agents-security's repository](https://github.com/ProjectRecon/awesome-ai-agents-security) and [plexiglass's repository](https://github.com/safellama/plexiglass).

| | [awesome-ai-agents-security](/tools/projectrecon-awesome-ai-agents-security.md) | [plexiglass](/tools/safellama-plexiglass.md) |
| --- | --- | --- |
| Tagline | A curated list of open-source tools and resources for securing autonomous AI agents. | A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs). |
| Stars | 59 | 153 |
| Forks | 74 | 18 |
| Open issues | 61 | 0 |
| Language | - | Python |
| Adopt for | awesome-ai-agents-security is a curated list of open-source tools for securing autonomous AI agents, covering the security lifecycle from red teaming to runtime protection. | Plexiglass is a toolkit for detecting and mitigating vulnerabilities in Large Language Models through adversarial attacks and deep-learning techniques. |
| Persona | - | - |
| Runtime | - | - |
| License | Other | Apache-2.0 |
| Categories | AI Agents, Evaluation & Observability | Evaluation & Observability |

## Trust and health

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

| | [awesome-ai-agents-security](/tools/projectrecon-awesome-ai-agents-security.md) | [plexiglass](/tools/safellama-plexiglass.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Slowing (36%) |
| Days since push | 58d | 178d |
| Open issues (now) | 61 | 0 |
| Full report | [trust report](/tools/projectrecon-awesome-ai-agents-security/trust.md) | [trust report](/tools/safellama-plexiglass/trust.md) |

## Decision facts: awesome-ai-agents-security

- **Adopt for:** awesome-ai-agents-security is a curated list of open-source tools for securing autonomous AI agents, covering the security lifecycle from red teaming to runtime protection.

## Decision facts: plexiglass

- **Adopt for:** Plexiglass is a toolkit for detecting and mitigating vulnerabilities in Large Language Models through adversarial attacks and deep-learning techniques.

## Choose when

### Choose awesome-ai-agents-security if…

- License: awesome-ai-agents-security is Other, plexiglass is Apache-2.0.
- Tags unique to awesome-ai-agents-security: ai-agents, ai-security, autonomous-agents, awesome-list.
- Also covers AI Agents.
- When needing a comprehensive overview of open-source tools for securing autonomous AI agents across different phases such as red teaming and runtime protection

### Choose plexiglass if…

- License: plexiglass is Apache-2.0, awesome-ai-agents-security is Other.
- Tags unique to plexiglass: adversarial-attacks, adversarial-machine-learning, deep-learning, deep-neural-networks.
- When a team needs to evaluate the robustness of their LLM against specific adversarial attack vectors within Python-based projects.

## When NOT to use awesome-ai-agents-security

- When you require real-time threat intelligence feeds, which are not provided by this repository's static resource lists
- For organizations focusing on proprietary tools and resources that prefer not to use open-source solutions for their AI agents' security lifecycle management

## When NOT to use plexiglass

- If a project is not using Python, because Plexiglass is specifically built for Python environments.
- When the team does not have access to the deep-learning techniques required by Plexiglass, as it heavily relies on such methods to mitigate vulnerabilities.

## Common questions

### What is the difference between awesome-ai-agents-security and plexiglass?

awesome-ai-agents-security: A curated list of open-source tools and resources for securing autonomous AI agents.. plexiglass: A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).. See the comparison table for live GitHub stats and shared categories.

### When should I choose awesome-ai-agents-security over plexiglass?

Choose awesome-ai-agents-security over plexiglass when License: awesome-ai-agents-security is Other, plexiglass is Apache-2.0; Tags unique to awesome-ai-agents-security: ai-agents, ai-security, autonomous-agents, awesome-list; Also covers AI Agents; When needing a comprehensive overview of open-source tools for securing autonomous AI agents across different phases such as red teaming and runtime protection.

### When should I choose plexiglass over awesome-ai-agents-security?

Choose plexiglass over awesome-ai-agents-security when License: plexiglass is Apache-2.0, awesome-ai-agents-security is Other; Tags unique to plexiglass: adversarial-attacks, adversarial-machine-learning, deep-learning, deep-neural-networks; When a team needs to evaluate the robustness of their LLM against specific adversarial attack vectors within Python-based projects.

### When should I avoid awesome-ai-agents-security?

When you require real-time threat intelligence feeds, which are not provided by this repository's static resource lists For organizations focusing on proprietary tools and resources that prefer not to use open-source solutions for their AI agents' security lifecycle management

### When should I avoid plexiglass?

If a project is not using Python, because Plexiglass is specifically built for Python environments. When the team does not have access to the deep-learning techniques required by Plexiglass, as it heavily relies on such methods to mitigate vulnerabilities.

### Is awesome-ai-agents-security or plexiglass more popular on GitHub?

plexiglass has more GitHub stars (153 vs 59). Stars measure visibility, not whether either tool fits your constraints.

### Are awesome-ai-agents-security and plexiglass open source?

Yes - both are open-source projects on GitHub (awesome-ai-agents-security: Other, plexiglass: Apache-2.0).

### Where can I find alternatives to awesome-ai-agents-security or plexiglass?

GraphCanon lists graph-backed alternatives at [awesome-ai-agents-security alternatives](/tools/projectrecon-awesome-ai-agents-security/alternatives) and [plexiglass alternatives](/tools/safellama-plexiglass/alternatives) ([awesome-ai-agents-security markdown twin](/tools/projectrecon-awesome-ai-agents-security/alternatives.md), [plexiglass markdown twin](/tools/safellama-plexiglass/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/projectrecon-awesome-ai-agents-security-vs-safellama-plexiglass.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, awesome-ai-agents-security or plexiglass?

awesome-ai-agents-security: Steady. plexiglass: Slowing. 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 awesome-ai-agents-security and plexiglass?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-ai-agents-security trust report](/tools/projectrecon-awesome-ai-agents-security/trust); [plexiglass trust report](/tools/safellama-plexiglass/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=projectrecon-awesome-ai-agents-security`](/api/graphcanon/graph?tool=projectrecon-awesome-ai-agents-security)
- 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/_