--- title: "awesome-ai-agents-security vs Awesome-LLMSecOps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/projectrecon-awesome-ai-agents-security-vs-wearetyomsmnv-awesome-llmsecops" tools: ["projectrecon-awesome-ai-agents-security", "wearetyomsmnv-awesome-llmsecops"] --- # awesome-ai-agents-security vs Awesome-LLMSecOps *GraphCanon updated Sep 20, 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 Awesome-LLMSecOps if awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models. [awesome-ai-agents-security](https://github.com/ProjectRecon/awesome-ai-agents-security) reports 71 GitHub stars, 95 forks, and 85 open issues, last pushed Jun 12, 2026. [Awesome-LLMSecOps](https://github.com/wearetyomsmnv/Awesome-LLMSecOps) has 155 stars, 76 forks, and 20 open issues, last pushed Aug 23, 2026. Figures are from public GitHub metadata via [awesome-ai-agents-security's repository](https://github.com/ProjectRecon/awesome-ai-agents-security) and [Awesome-LLMSecOps's repository](https://github.com/wearetyomsmnv/Awesome-LLMSecOps). | | [awesome-ai-agents-security](/tools/projectrecon-awesome-ai-agents-security.md) | [Awesome-LLMSecOps](/tools/wearetyomsmnv-awesome-llmsecops.md) | | --- | --- | --- | | Tagline | A curated list of open-source tools and resources for securing autonomous AI agents. | Curated security resources for LLM operations | | Stars | 71 | 155 | | Forks | 95 | 76 | | Open issues | 85 | 20 | | Language | - | HTML | | 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. | Awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models. | | Persona | - | - | | Runtime | - | - | | License | Other | - | | Categories | AI Agents, Evaluation & Observability | AI Agents, 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) | [Awesome-LLMSecOps](/tools/wearetyomsmnv-awesome-llmsecops.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 92d | 19d | | Open issues (now) | 85 | 20 | | Stars delta | +12 (30d) | +5 (30d) | | Open issues delta | +24 (30d) | +9 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/projectrecon-awesome-ai-agents-security/trust.md) | [trust report](/tools/wearetyomsmnv-awesome-llmsecops/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: Awesome-LLMSecOps - **Adopt for:** Awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models. ## Choose when ### Choose awesome-ai-agents-security if… - Tags unique to awesome-ai-agents-security: ai-agents, ai-security, autonomous-agents, awesome-list. - 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 Awesome-LLMSecOps if… - Tags unique to Awesome-LLMSecOps: adversarial-ml-threat-modeling, ai-agents-security, llm-red-teaming, prompt-injection. - Need a specialized focus on LLM-specific security threats like recursive pollution and prompt manipulation - More GitHub stars (155 vs 71) - visibility, not fit. ## 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 Awesome-LLMSecOps - Looking for extensive academic references or ArXiv papers in descriptions - Require real-time interactive tools rather than curated static lists of resources ## Common questions ### What is the difference between awesome-ai-agents-security and Awesome-LLMSecOps? awesome-ai-agents-security: A curated list of open-source tools and resources for securing autonomous AI agents.. Awesome-LLMSecOps: Curated security resources for LLM operations. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-ai-agents-security over Awesome-LLMSecOps? Choose awesome-ai-agents-security over Awesome-LLMSecOps when Tags unique to awesome-ai-agents-security: ai-agents, ai-security, autonomous-agents, awesome-list; 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 Awesome-LLMSecOps over awesome-ai-agents-security? Choose Awesome-LLMSecOps over awesome-ai-agents-security when Tags unique to Awesome-LLMSecOps: adversarial-ml-threat-modeling, ai-agents-security, llm-red-teaming, prompt-injection; Need a specialized focus on LLM-specific security threats like recursive pollution and prompt manipulation; More GitHub stars (155 vs 71) - visibility, not fit. ### 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 Awesome-LLMSecOps? Looking for extensive academic references or ArXiv papers in descriptions Require real-time interactive tools rather than curated static lists of resources ### Is awesome-ai-agents-security or Awesome-LLMSecOps more popular on GitHub? Awesome-LLMSecOps has more GitHub stars (155 vs 71). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-ai-agents-security and Awesome-LLMSecOps open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to awesome-ai-agents-security or Awesome-LLMSecOps? GraphCanon lists graph-backed alternatives at [awesome-ai-agents-security alternatives](/tools/projectrecon-awesome-ai-agents-security/alternatives) and [Awesome-LLMSecOps alternatives](/tools/wearetyomsmnv-awesome-llmsecops/alternatives) ([awesome-ai-agents-security markdown twin](/tools/projectrecon-awesome-ai-agents-security/alternatives.md), [Awesome-LLMSecOps markdown twin](/tools/wearetyomsmnv-awesome-llmsecops/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-wearetyomsmnv-awesome-llmsecops.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 Awesome-LLMSecOps? awesome-ai-agents-security: Slowing. Awesome-LLMSecOps: 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 awesome-ai-agents-security and Awesome-LLMSecOps? 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); [Awesome-LLMSecOps trust report](/tools/wearetyomsmnv-awesome-llmsecops/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/_