Comparison
awesome-ai-agents-security vs plexiglass
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.
Markdown twin · awesome-ai-agents-security alternatives · plexiglass alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | awesome-ai-agents-security | plexiglass |
|---|---|---|
| Maintenance | Steady (58d since push) As of 2w · github_public_v1 | Slowing (178d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 3w · 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
- 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).
Stars
- awesome-ai-agents-security
- 59
- plexiglass
- 153
Forks
- awesome-ai-agents-security
- 74
- plexiglass
- 18
Open issues
- awesome-ai-agents-security
- 61
- plexiglass
- 0
Language
- awesome-ai-agents-security
- -
- plexiglass
- Python
Adopt for
- awesome-ai-agents-security
- 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
- Plexiglass is a toolkit for detecting and mitigating vulnerabilities in Large Language Models through adversarial attacks and deep-learning techniques.
Persona
- awesome-ai-agents-security
- -
- plexiglass
- -
Runtime
- awesome-ai-agents-security
- -
- plexiglass
- -
License
- awesome-ai-agents-security
- Other
- plexiglass
- Apache-2.0
Last pushed
- awesome-ai-agents-security
- Jun 12, 2026
- plexiglass
- Feb 4, 2026
Categories
- awesome-ai-agents-security
- AI Agents, Evaluation & Observability
- plexiglass
- Evaluation & Observability
Trust and health
Maintenance
- awesome-ai-agents-security
- Steady (60%)
- plexiglass
- Slowing (36%)
Days since push
- awesome-ai-agents-security
- 58d
- plexiglass
- 178d
Open issues (now)
- awesome-ai-agents-security
- 61
- plexiglass
- 0
Full report
- awesome-ai-agents-security
- Trust report
- plexiglass
- Trust report
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
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
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ProjectRecon/awesome-ai-agents-security) · observed Aug 9, 2026
- GitHub forks (ProjectRecon/awesome-ai-agents-security) · observed Aug 9, 2026
- Last push (ProjectRecon/awesome-ai-agents-security) · observed Jun 12, 2026
- License file (Other) · observed Aug 9, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (safellama/plexiglass) · observed Aug 2, 2026
- GitHub forks (safellama/plexiglass) · observed Aug 2, 2026
- Last push (safellama/plexiglass) · observed Feb 4, 2026
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-ai-agents-security 59 · plexiglass 153 (synced Aug 9, 2026).
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 and plexiglass alternatives (awesome-ai-agents-security markdown twin, plexiglass 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, 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; plexiglass trust report.