--- title: "Aegis vs fast-llm-security-guardrails" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/justin0504-aegis-vs-zenguard-ai-fast-llm-security-guardrails" tools: ["justin0504-aegis", "zenguard-ai-fast-llm-security-guardrails"] --- # Aegis vs fast-llm-security-guardrails *GraphCanon updated Sep 20, 2026* ## Verdict Pick Aegis if aegis provides runtime policy enforcement for AI agents with cryptographic audit trails and human-in-the-loop approvals, supporting zero-code deployment switches suited for various compliance needs; pick fast-llm-security-guardrails if fast-llm-security-guardrails, also known as ZenGuard, is designed for the rapid deployment of security measures into AI agent systems to ensure they operate within defined trust constraints. [Aegis](https://github.com/Justin0504/Aegis) reports 340 GitHub stars, 37 forks, and 3 open issues, last pushed Sep 6, 2026. [fast-llm-security-guardrails](https://zenguard.ai/) has 155 stars, 21 forks, and 0 open issues, last pushed Feb 3, 2026. Figures are from public GitHub metadata via [Aegis's repository](https://github.com/Justin0504/Aegis) and [fast-llm-security-guardrails's repository](https://github.com/ZenGuard-AI/fast-llm-security-guardrails). | | [Aegis](/tools/justin0504-aegis.md) | [fast-llm-security-guardrails](/tools/zenguard-ai-fast-llm-security-guardrails.md) | | --- | --- | --- | | Tagline | Runtime policy enforcement for AI agents with cryptographic audit trail and human-in-the-loop approvals. | The fastest Trust Layer for AI Agents | | Stars | 340 | 155 | | Forks | 37 | 21 | | Open issues | 3 | 0 | | Language | TypeScript | Python | | Adopt for | Aegis provides runtime policy enforcement for AI agents with cryptographic audit trails and human-in-the-loop approvals, supporting zero-code deployment switches suited for various compliance needs. | fast-llm-security-guardrails, also known as ZenGuard, is designed for the rapid deployment of security measures into AI agent systems to ensure they operate within defined trust constraints. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Aegis](/tools/justin0504-aegis.md) | [fast-llm-security-guardrails](/tools/zenguard-ai-fast-llm-security-guardrails.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 4d | 222d | | Open issues (now) | 3 | 0 | | Stars delta | -27 (30d) | +1 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/justin0504-aegis/trust.md) | [trust report](/tools/zenguard-ai-fast-llm-security-guardrails/trust.md) | ## Decision facts: Aegis - **Adopt for:** Aegis provides runtime policy enforcement for AI agents with cryptographic audit trails and human-in-the-loop approvals, supporting zero-code deployment switches suited for various compliance needs. ## Decision facts: fast-llm-security-guardrails - **Adopt for:** fast-llm-security-guardrails, also known as ZenGuard, is designed for the rapid deployment of security measures into AI agent systems to ensure they operate within defined trust constraints. ## Choose when ### Choose Aegis if… - Aegis is primarily TypeScript; fast-llm-security-guardrails is Python. - Tags unique to Aegis: ai-safety, anthropic, audit-trail, llm-observability. - Aegis ships Docker support for self-hosted deployment. - You need cryptographic assurance of the audit trail to meet high-security standards. ### Choose fast-llm-security-guardrails if… - fast-llm-security-guardrails is primarily Python; Aegis is TypeScript. - Tags unique to fast-llm-security-guardrails: agentic-ai, ai-agent, ai-agents, ai-runtime. - Fast integration of privacy and security guardrails in environments where real-time evaluation and observability are critical. ## When NOT to use Aegis - The project does not require a zero-code deployment switch and can manage changes directly in the codebase. - Minimal regulatory requirements mean that elaborate configurations like Aegis's strict retention policies are unnecessary. ## When NOT to use fast-llm-security-guardrails - If your project requires a more customizable solution than what fast-llm-security-guardrails offers in its out-of-the-box configurations. - For teams that operate without established runtime environments like LangChain or LlamaIndex, as this may necessitate significant adaptation of ZenGuard. ## Common questions ### What is the difference between Aegis and fast-llm-security-guardrails? Aegis: Runtime policy enforcement for AI agents with cryptographic audit trail and human-in-the-loop approvals.. fast-llm-security-guardrails: The fastest Trust Layer for AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose Aegis over fast-llm-security-guardrails? Choose Aegis over fast-llm-security-guardrails when Aegis is primarily TypeScript; fast-llm-security-guardrails is Python; Tags unique to Aegis: ai-safety, anthropic, audit-trail, llm-observability; Aegis ships Docker support for self-hosted deployment; You need cryptographic assurance of the audit trail to meet high-security standards. ### When should I choose fast-llm-security-guardrails over Aegis? Choose fast-llm-security-guardrails over Aegis when fast-llm-security-guardrails is primarily Python; Aegis is TypeScript; Tags unique to fast-llm-security-guardrails: agentic-ai, ai-agent, ai-agents, ai-runtime; Fast integration of privacy and security guardrails in environments where real-time evaluation and observability are critical. ### When should I avoid Aegis? The project does not require a zero-code deployment switch and can manage changes directly in the codebase. Minimal regulatory requirements mean that elaborate configurations like Aegis's strict retention policies are unnecessary. ### When should I avoid fast-llm-security-guardrails? If your project requires a more customizable solution than what fast-llm-security-guardrails offers in its out-of-the-box configurations. For teams that operate without established runtime environments like LangChain or LlamaIndex, as this may necessitate significant adaptation of ZenGuard. ### Is Aegis or fast-llm-security-guardrails more popular on GitHub? Aegis has more GitHub stars (340 vs 155). Stars measure visibility, not whether either tool fits your constraints. ### Are Aegis and fast-llm-security-guardrails open source? Yes - both are open-source projects on GitHub (Aegis: MIT, fast-llm-security-guardrails: MIT). ### Where can I find alternatives to Aegis or fast-llm-security-guardrails? GraphCanon lists graph-backed alternatives at [Aegis alternatives](/tools/justin0504-aegis/alternatives) and [fast-llm-security-guardrails alternatives](/tools/zenguard-ai-fast-llm-security-guardrails/alternatives) ([Aegis markdown twin](/tools/justin0504-aegis/alternatives.md), [fast-llm-security-guardrails markdown twin](/tools/zenguard-ai-fast-llm-security-guardrails/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/justin0504-aegis-vs-zenguard-ai-fast-llm-security-guardrails.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Aegis or fast-llm-security-guardrails? Aegis: Very active. fast-llm-security-guardrails: 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 Aegis and fast-llm-security-guardrails? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Aegis trust report](/tools/justin0504-aegis/trust); [fast-llm-security-guardrails trust report](/tools/zenguard-ai-fast-llm-security-guardrails/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=justin0504-aegis`](/api/graphcanon/graph?tool=justin0504-aegis) - 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/_