--- title: "aigis vs awesome-ai-agents-security" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/killertcell428-aigis-vs-projectrecon-awesome-ai-agents-security" tools: ["killertcell428-aigis", "projectrecon-awesome-ai-agents-security"] --- # aigis vs awesome-ai-agents-security *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-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. [aigis](https://pypi.org/project/pyaigis/) reports 54 GitHub stars, 8 forks, and 13 open issues, last pushed Sep 8, 2026. [awesome-ai-agents-security](https://github.com/ProjectRecon/awesome-ai-agents-security) has 71 stars, 95 forks, and 85 open issues, last pushed Jun 12, 2026. Figures are from public GitHub metadata via [aigis's repository](https://github.com/killertcell428/aigis) and [awesome-ai-agents-security's repository](https://github.com/ProjectRecon/awesome-ai-agents-security). | | [aigis](/tools/killertcell428-aigis.md) | [awesome-ai-agents-security](/tools/projectrecon-awesome-ai-agents-security.md) | | --- | --- | --- | | Tagline | Deterministic zero-dependency Python firewall for AI agents | A curated list of open-source tools and resources for securing autonomous AI agents. | | Stars | 54 | 71 | | Forks | 8 | 95 | | Open issues | 13 | 85 | | Language | Python | - | | 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-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. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | 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-ai-agents-security](/tools/projectrecon-awesome-ai-agents-security.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 4d | 92d | | Open issues (now) | 13 | 85 | | Stars delta | +1 (30d) | +12 (30d) | | Open issues delta | +2 (30d) | +24 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/killertcell428-aigis/trust.md) | [trust report](/tools/projectrecon-awesome-ai-agents-security/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-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. ## Choose when ### Choose aigis if… - License: aigis is Apache-2.0, awesome-ai-agents-security is Other. - Tags unique to aigis: ai-agent, compliance, firewall, guardrails. - aigis ships Docker support for self-hosted deployment. - When your AI application requires robust security measures with minimal setup complexity ### Choose awesome-ai-agents-security if… - License: awesome-ai-agents-security is Other, aigis is Apache-2.0. - Tags unique to awesome-ai-agents-security: ai-agents, autonomous-agents, awesome-list, generative-ai. - 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 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-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 ## Common questions ### What is the difference between aigis and awesome-ai-agents-security? aigis: Deterministic zero-dependency Python firewall for AI agents. awesome-ai-agents-security: A curated list of open-source tools and resources for securing autonomous AI agents.. See the comparison table for live GitHub stats and shared categories. ### When should I choose aigis over awesome-ai-agents-security? Choose aigis over awesome-ai-agents-security when License: aigis is Apache-2.0, awesome-ai-agents-security is Other; Tags unique to aigis: ai-agent, compliance, firewall, guardrails; 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-ai-agents-security over aigis? Choose awesome-ai-agents-security over aigis when License: awesome-ai-agents-security is Other, aigis is Apache-2.0; Tags unique to awesome-ai-agents-security: ai-agents, autonomous-agents, awesome-list, generative-ai; 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 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-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 ### Is aigis or awesome-ai-agents-security more popular on GitHub? awesome-ai-agents-security has more GitHub stars (71 vs 54). Stars measure visibility, not whether either tool fits your constraints. ### Are aigis and awesome-ai-agents-security open source? Yes - both are open-source projects on GitHub (aigis: Apache-2.0, awesome-ai-agents-security: Other). ### Where can I find alternatives to aigis or awesome-ai-agents-security? GraphCanon lists graph-backed alternatives at [aigis alternatives](/tools/killertcell428-aigis/alternatives) and [awesome-ai-agents-security alternatives](/tools/projectrecon-awesome-ai-agents-security/alternatives) ([aigis markdown twin](/tools/killertcell428-aigis/alternatives.md), [awesome-ai-agents-security markdown twin](/tools/projectrecon-awesome-ai-agents-security/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-projectrecon-awesome-ai-agents-security.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, aigis or awesome-ai-agents-security? aigis: Very active. awesome-ai-agents-security: 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 aigis and awesome-ai-agents-security? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aigis trust report](/tools/killertcell428-aigis/trust); [awesome-ai-agents-security trust report](/tools/projectrecon-awesome-ai-agents-security/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/_