--- title: "awesome-evals vs awesome-ai-agents-security" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/benchflow-ai-awesome-evals-vs-projectrecon-awesome-ai-agents-security" tools: ["benchflow-ai-awesome-evals", "projectrecon-awesome-ai-agents-security"] --- # awesome-evals vs awesome-ai-agents-security *GraphCanon updated Sep 20, 2026* ## Verdict Pick awesome-evals if curated resources for AI agent evaluation with BenchFlow backing its maintenance; 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. [awesome-evals](https://github.com/benchflow-ai/awesome-evals) reports 900 GitHub stars, 104 forks, and 34 open issues, last pushed Sep 15, 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 [awesome-evals's repository](https://github.com/benchflow-ai/awesome-evals) and [awesome-ai-agents-security's repository](https://github.com/ProjectRecon/awesome-ai-agents-security). | | [awesome-evals](/tools/benchflow-ai-awesome-evals.md) | [awesome-ai-agents-security](/tools/projectrecon-awesome-ai-agents-security.md) | | --- | --- | --- | | Tagline | A curated library of resources for building and evaluating AI agents | A curated list of open-source tools and resources for securing autonomous AI agents. | | Stars | 900 | 71 | | Forks | 104 | 95 | | Open issues | 34 | 85 | | Language | - | - | | Adopt for | Curated resources for AI agent evaluation with BenchFlow backing its maintenance | 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 | Other | Other | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-evals](/tools/benchflow-ai-awesome-evals.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) | 34 | 85 | | Stars delta | +139 (30d) | +12 (30d) | | Open issues delta | +13 (30d) | +24 (30d) | | Full report | [trust report](/tools/benchflow-ai-awesome-evals/trust.md) | [trust report](/tools/projectrecon-awesome-ai-agents-security/trust.md) | ## Decision facts: awesome-evals - **Adopt for:** Curated resources for AI agent evaluation with BenchFlow backing its maintenance ## 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 awesome-evals if… - Tags unique to awesome-evals: agent-evaluation, benchmarks, llm-evaluation, rl-environments. - Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation - More GitHub stars (900 vs 71) - visibility, not fit. ### Choose awesome-ai-agents-security if… - Tags unique to awesome-ai-agents-security: ai-security, autonomous-agents, cybersecurity, 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 awesome-evals - Require real-time interactive support or direct tool integrations not covered by a static resource list - Seeking proprietary tools from specific vendors rather than open resources and community content ## 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 awesome-evals and awesome-ai-agents-security? awesome-evals: A curated library of resources for building and evaluating 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 awesome-evals over awesome-ai-agents-security? Choose awesome-evals over awesome-ai-agents-security when Tags unique to awesome-evals: agent-evaluation, benchmarks, llm-evaluation, rl-environments; Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation; More GitHub stars (900 vs 71) - visibility, not fit. ### When should I choose awesome-ai-agents-security over awesome-evals? Choose awesome-ai-agents-security over awesome-evals when Tags unique to awesome-ai-agents-security: ai-security, autonomous-agents, cybersecurity, 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 awesome-evals? Require real-time interactive support or direct tool integrations not covered by a static resource list Seeking proprietary tools from specific vendors rather than open resources and community content ### 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 awesome-evals or awesome-ai-agents-security more popular on GitHub? awesome-evals has more GitHub stars (900 vs 71). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-evals and awesome-ai-agents-security open source? Yes - both are open-source projects on GitHub (awesome-evals: Other, awesome-ai-agents-security: Other). ### Where can I find alternatives to awesome-evals or awesome-ai-agents-security? GraphCanon lists graph-backed alternatives at [awesome-evals alternatives](/tools/benchflow-ai-awesome-evals/alternatives) and [awesome-ai-agents-security alternatives](/tools/projectrecon-awesome-ai-agents-security/alternatives) ([awesome-evals markdown twin](/tools/benchflow-ai-awesome-evals/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/benchflow-ai-awesome-evals-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, awesome-evals or awesome-ai-agents-security? awesome-evals: 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 awesome-evals and awesome-ai-agents-security? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-evals trust report](/tools/benchflow-ai-awesome-evals/trust); [awesome-ai-agents-security trust report](/tools/projectrecon-awesome-ai-agents-security/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=benchflow-ai-awesome-evals`](/api/graphcanon/graph?tool=benchflow-ai-awesome-evals) - 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/_