--- title: "aigis vs Awesome-LLMSecOps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/killertcell428-aigis-vs-wearetyomsmnv-awesome-llmsecops" tools: ["killertcell428-aigis", "wearetyomsmnv-awesome-llmsecops"] --- # aigis vs Awesome-LLMSecOps *GraphCanon updated Sep 20, 2026* ## Verdict Pick aigis if aigis is a deterministic zero-dependency Python firewall for AI agents offering protection against threats like memory poisoning and prompt injection with no external dependencies or complex configurations; pick Awesome-LLMSecOps if awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models. [aigis](https://pypi.org/project/pyaigis/) reports 54 GitHub stars, 8 forks, and 13 open issues, last pushed Sep 8, 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 [aigis's repository](https://github.com/killertcell428/aigis) and [Awesome-LLMSecOps's repository](https://github.com/wearetyomsmnv/Awesome-LLMSecOps). | | [aigis](/tools/killertcell428-aigis.md) | [Awesome-LLMSecOps](/tools/wearetyomsmnv-awesome-llmsecops.md) | | --- | --- | --- | | Tagline | Deterministic zero-dependency Python firewall for AI agents | Curated security resources for LLM operations | | Stars | 54 | 155 | | Forks | 8 | 76 | | Open issues | 13 | 20 | | Language | Python | HTML | | Adopt for | aigis is a deterministic zero-dependency Python firewall for AI agents offering protection against threats like memory poisoning and prompt injection with no external dependencies or complex configurations. | Awesome-LLMSecOps is a curated list that emphasizes practical security implementation for the operations of large language models. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | - | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [aigis](/tools/killertcell428-aigis.md) | [Awesome-LLMSecOps](/tools/wearetyomsmnv-awesome-llmsecops.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 4d | 19d | | Open issues (now) | 13 | 20 | | Stars delta | +1 (30d) | +5 (30d) | | Open issues delta | +2 (30d) | +9 (30d) | | Full report | [trust report](/tools/killertcell428-aigis/trust.md) | [trust report](/tools/wearetyomsmnv-awesome-llmsecops/trust.md) | ## Decision facts: aigis - **Adopt for:** aigis is a deterministic zero-dependency Python firewall for AI agents offering protection against threats like memory poisoning and prompt injection with no external dependencies or complex configurations. ## 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 aigis if… - aigis is primarily Python; Awesome-LLMSecOps is HTML. - Tags unique to aigis: ai-agent, ai-security, compliance, cybersecurity. - aigis ships Docker support for self-hosted deployment. - When your AI application requires robust security measures with minimal setup complexity ### Choose Awesome-LLMSecOps if… - Awesome-LLMSecOps is primarily HTML; aigis is Python. - 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 ## When NOT to use aigis - If your project strictly avoids adding third-party libraries - When a full-fledged security solution with comprehensive features is necessary over minimal dependency footprint ## 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 aigis and Awesome-LLMSecOps? aigis: Deterministic zero-dependency Python firewall for 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 aigis over Awesome-LLMSecOps? Choose aigis over Awesome-LLMSecOps when aigis is primarily Python; Awesome-LLMSecOps is HTML; Tags unique to aigis: ai-agent, ai-security, compliance, cybersecurity; aigis ships Docker support for self-hosted deployment; When your AI application requires robust security measures with minimal setup complexity. ### When should I choose Awesome-LLMSecOps over aigis? Choose Awesome-LLMSecOps over aigis when Awesome-LLMSecOps is primarily HTML; aigis is Python; 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. ### When should I avoid aigis? If your project strictly avoids adding third-party libraries When a full-fledged security solution with comprehensive features is necessary over minimal dependency footprint ### 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 aigis or Awesome-LLMSecOps more popular on GitHub? Awesome-LLMSecOps has more GitHub stars (155 vs 54). Stars measure visibility, not whether either tool fits your constraints. ### Are aigis and Awesome-LLMSecOps open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to aigis or Awesome-LLMSecOps? GraphCanon lists graph-backed alternatives at [aigis alternatives](/tools/killertcell428-aigis/alternatives) and [Awesome-LLMSecOps alternatives](/tools/wearetyomsmnv-awesome-llmsecops/alternatives) ([aigis markdown twin](/tools/killertcell428-aigis/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/killertcell428-aigis-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, aigis or Awesome-LLMSecOps? aigis: Very active. 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 aigis and Awesome-LLMSecOps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aigis trust report](/tools/killertcell428-aigis/trust); [Awesome-LLMSecOps trust report](/tools/wearetyomsmnv-awesome-llmsecops/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=killertcell428-aigis`](/api/graphcanon/graph?tool=killertcell428-aigis) - 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/_