--- title: "vigil-llm vs awesome-ai-agents-security" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/deadbits-vigil-llm-vs-projectrecon-awesome-ai-agents-security" tools: ["deadbits-vigil-llm", "projectrecon-awesome-ai-agents-security"] --- # vigil-llm vs awesome-ai-agents-security *GraphCanon updated Aug 21, 2026* ## Verdict Pick vigil-llm if vigil-llm is designed for users who need robust security measures to protect against prompt injections and jailbreak attempts in LLMs; 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. [vigil-llm](https://vigil.deadbits.ai/) reports 496 GitHub stars, 56 forks, and 16 open issues, last pushed Jan 31, 2024. [awesome-ai-agents-security](https://github.com/ProjectRecon/awesome-ai-agents-security) has 59 stars, 74 forks, and 61 open issues, last pushed Jun 12, 2026. Figures are from public GitHub metadata via [vigil-llm's repository](https://github.com/deadbits/vigil-llm) and [awesome-ai-agents-security's repository](https://github.com/ProjectRecon/awesome-ai-agents-security). | | [vigil-llm](/tools/deadbits-vigil-llm.md) | [awesome-ai-agents-security](/tools/projectrecon-awesome-ai-agents-security.md) | | --- | --- | --- | | Tagline | Detect prompt injections and other risky inputs in LLMs | A curated list of open-source tools and resources for securing autonomous AI agents. | | Stars | 496 | 59 | | Forks | 56 | 74 | | Open issues | 16 | 61 | | Language | Python | - | | Adopt for | Vigil-llm is designed for users who need robust security measures to protect against prompt injections and jailbreak attempts in LLMs. | 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 | Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [vigil-llm](/tools/deadbits-vigil-llm.md) | [awesome-ai-agents-security](/tools/projectrecon-awesome-ai-agents-security.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 932d | 58d | | Open issues (now) | 16 | 61 | | Stars delta | +5 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Owner type | User | Organization | | Full report | [trust report](/tools/deadbits-vigil-llm/trust.md) | [trust report](/tools/projectrecon-awesome-ai-agents-security/trust.md) | ## Decision facts: vigil-llm - **Adopt for:** Vigil-llm is designed for users who need robust security measures to protect against prompt injections and jailbreak attempts in LLMs. ## 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 vigil-llm if… - License: vigil-llm is Apache-2.0, awesome-ai-agents-security is Other. - Tags unique to vigil-llm: adversarial-attacks, large language models, llm security, prompt-injection. - vigil-llm ships Docker support for self-hosted deployment. - When deploying large language models that require high levels of input security, vigil-llm can be employed to detect maliciously crafted inputs intended to manipulate model behavior. ### Choose awesome-ai-agents-security if… - License: awesome-ai-agents-security is Other, vigil-llm 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 vigil-llm - If your application does not require high security against malicious inputs or if the risks of prompt injection are minimal due to controlled input sources, vigil-llm might be unnecessary. - For projects that focus on optimizing output speed rather than input robustness, other tools might be more appropriate as vigil-llm could add significant processing overhead. ## 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 vigil-llm and awesome-ai-agents-security? vigil-llm: Detect prompt injections and other risky inputs in LLMs. 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 vigil-llm over awesome-ai-agents-security? Choose vigil-llm over awesome-ai-agents-security when License: vigil-llm is Apache-2.0, awesome-ai-agents-security is Other; Tags unique to vigil-llm: adversarial-attacks, large language models, llm security, prompt-injection; vigil-llm ships Docker support for self-hosted deployment; When deploying large language models that require high levels of input security, vigil-llm can be employed to detect maliciously crafted inputs intended to manipulate model behavior. ### When should I choose awesome-ai-agents-security over vigil-llm? Choose awesome-ai-agents-security over vigil-llm when License: awesome-ai-agents-security is Other, vigil-llm 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 avoid vigil-llm? If your application does not require high security against malicious inputs or if the risks of prompt injection are minimal due to controlled input sources, vigil-llm might be unnecessary. For projects that focus on optimizing output speed rather than input robustness, other tools might be more appropriate as vigil-llm could add significant processing overhead. ### 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 vigil-llm or awesome-ai-agents-security more popular on GitHub? vigil-llm has more GitHub stars (496 vs 59). Stars measure visibility, not whether either tool fits your constraints. ### Are vigil-llm and awesome-ai-agents-security open source? Yes - both are open-source projects on GitHub (vigil-llm: Apache-2.0, awesome-ai-agents-security: Other). ### Where can I find alternatives to vigil-llm or awesome-ai-agents-security? GraphCanon lists graph-backed alternatives at [vigil-llm alternatives](/tools/deadbits-vigil-llm/alternatives) and [awesome-ai-agents-security alternatives](/tools/projectrecon-awesome-ai-agents-security/alternatives) ([vigil-llm markdown twin](/tools/deadbits-vigil-llm/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/deadbits-vigil-llm-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, vigil-llm or awesome-ai-agents-security? vigil-llm: Dormant. awesome-ai-agents-security: Steady. 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 vigil-llm and awesome-ai-agents-security? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [vigil-llm trust report](/tools/deadbits-vigil-llm/trust); [awesome-ai-agents-security trust report](/tools/projectrecon-awesome-ai-agents-security/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=deadbits-vigil-llm`](/api/graphcanon/graph?tool=deadbits-vigil-llm) - 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/_