--- title: "AI-Infra-Guard vs pentagi" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/tencent-ai-infra-guard-vs-vxcontrol-pentagi" tools: ["tencent-ai-infra-guard", "vxcontrol-pentagi"] --- # AI-Infra-Guard vs pentagi *GraphCanon updated Aug 20, 2026* ## Verdict Pick AI-Infra-Guard if aI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools; pick pentagi if pentAGI is a fully autonomous AI agent system specifically designed for complex penetration testing tasks, offering a comprehensive framework that operates in an automated fashion to enhance security evaluations. [AI-Infra-Guard](https://tencent.github.io/AI-Infra-Guard/) reports 4.3k GitHub stars, 419 forks, and 13 open issues, last pushed Jul 28, 2026. [pentagi](https://pentagi.com) has 22k stars, 2.9k forks, and 46 open issues, last pushed Aug 6, 2026. Figures are from public GitHub metadata via [AI-Infra-Guard's repository](https://github.com/Tencent/AI-Infra-Guard) and [pentagi's repository](https://github.com/vxcontrol/pentagi). | | [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) | [pentagi](/tools/vxcontrol-pentagi.md) | | --- | --- | --- | | Tagline | A full-stack AI Red Teaming platform securing AI ecosystems | Fully autonomous AI Agents system for complex penetration testing tasks | | Stars | 4,316 | 21,902 | | Forks | 419 | 2,904 | | Open issues | 13 | 46 | | Language | Python | Go | | Adopt for | AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools. | PentAGI is a fully autonomous AI agent system specifically designed for complex penetration testing tasks, offering a comprehensive framework that operates in an automated fashion to enhance security evaluations. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Evaluation & Observability, LLM Frameworks | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AI-Infra-Guard](/tools/tencent-ai-infra-guard.md) | [pentagi](/tools/vxcontrol-pentagi.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 13d | | Open issues (now) | 13 | 46 | | Stars delta | Unknown | +910 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/tencent-ai-infra-guard/trust.md) | [trust report](/tools/vxcontrol-pentagi/trust.md) | ## Decision facts: AI-Infra-Guard - **Adopt for:** AI-Infra-Guard is designed for organizations looking to secure their AI infrastructures comprehensively through various scanning and evaluation tools. ## Decision facts: pentagi - **Requirements:** Min 4 GB RAM; Requires Docker; Docker and Docker Compose (or Podman) is required; System must have a minimum of 2 vCPUs.; At least 20GB free disk space needed. - **Adopt for:** PentAGI is a fully autonomous AI agent system specifically designed for complex penetration testing tasks, offering a comprehensive framework that operates in an automated fashion to enhance security evaluations. ## Choose when ### Choose AI-Infra-Guard if… - AI-Infra-Guard is primarily Python; pentagi is Go. - License: AI-Infra-Guard is Apache-2.0, pentagi is MIT. - Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, llm-evaluation, security-tools. - Also covers LLM Frameworks. - If you need advanced LLM jailbreak evaluation capabilities specific to the vulnerabilities identified by Tencent's research, consider using AI-Infra-Guard. ### Choose pentagi if… - pentagi is primarily Go; AI-Infra-Guard is Python. - License: pentagi is MIT, AI-Infra-Guard is Apache-2.0. - Requirements: Min 4 GB RAM; Requires Docker; Docker and Docker Compose (or Podman) is required; System must have a minimum of 2 vCPUs.; At least 20GB free disk space needed.. - Tags unique to pentagi: ai-agents, golang, open-source, penetration-testing-tools. - Also covers AI Agents. - Use PentAGI when you need a fully autonomous solution for handling intricate penetration tests with minimal human intervention. ## When NOT to use AI-Infra-Guard - Avoid if you are looking exclusively for a tool that focuses solely on the runtime behavior of LLMs without broader infrastructural scanning capabilities. - Not recommended when your primary focus is on network-level security rather than comprehensive AI infrastructure security assessments and evaluations. ## When NOT to use pentagi - Avoid using PentAGI in scenarios where legacy systems cannot support Docker or require manual oversight for each penetration test step. - Do not utilize PentAGI if you prefer a proprietary model over open-source solutions, as it operates under the MIT license. ## Common questions ### What is the difference between AI-Infra-Guard and pentagi? AI-Infra-Guard: A full-stack AI Red Teaming platform securing AI ecosystems. pentagi: Fully autonomous AI Agents system for complex penetration testing tasks. See the comparison table for live GitHub stats and shared categories. ### When should I choose AI-Infra-Guard over pentagi? Choose AI-Infra-Guard over pentagi when AI-Infra-Guard is primarily Python; pentagi is Go; License: AI-Infra-Guard is Apache-2.0, pentagi is MIT; Tags unique to AI-Infra-Guard: agent-security, ai-red-teaming, llm-evaluation, security-tools; Also covers LLM Frameworks; If you need advanced LLM jailbreak evaluation capabilities specific to the vulnerabilities identified by Tencent's research, consider using AI-Infra-Guard. ### When should I choose pentagi over AI-Infra-Guard? Choose pentagi over AI-Infra-Guard when pentagi is primarily Go; AI-Infra-Guard is Python; License: pentagi is MIT, AI-Infra-Guard is Apache-2.0; Requirements: Min 4 GB RAM; Requires Docker; Docker and Docker Compose (or Podman) is required; System must have a minimum of 2 vCPUs.; At least 20GB free disk space needed.; Tags unique to pentagi: ai-agents, golang, open-source, penetration-testing-tools; Also covers AI Agents; Use PentAGI when you need a fully autonomous solution for handling intricate penetration tests with minimal human intervention. ### When should I avoid AI-Infra-Guard? Avoid if you are looking exclusively for a tool that focuses solely on the runtime behavior of LLMs without broader infrastructural scanning capabilities. Not recommended when your primary focus is on network-level security rather than comprehensive AI infrastructure security assessments and evaluations. ### When should I avoid pentagi? Avoid using PentAGI in scenarios where legacy systems cannot support Docker or require manual oversight for each penetration test step. Do not utilize PentAGI if you prefer a proprietary model over open-source solutions, as it operates under the MIT license. ### Is AI-Infra-Guard or pentagi more popular on GitHub? pentagi has more GitHub stars (21,902 vs 4,316). Stars measure visibility, not whether either tool fits your constraints. ### Are AI-Infra-Guard and pentagi open source? Yes - both are open-source projects on GitHub (AI-Infra-Guard: Apache-2.0, pentagi: MIT). ### Where can I find alternatives to AI-Infra-Guard or pentagi? GraphCanon lists graph-backed alternatives at [AI-Infra-Guard alternatives](/tools/tencent-ai-infra-guard/alternatives) and [pentagi alternatives](/tools/vxcontrol-pentagi/alternatives) ([AI-Infra-Guard markdown twin](/tools/tencent-ai-infra-guard/alternatives.md), [pentagi markdown twin](/tools/vxcontrol-pentagi/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/tencent-ai-infra-guard-vs-vxcontrol-pentagi.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AI-Infra-Guard or pentagi? AI-Infra-Guard: Very active. pentagi: 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 AI-Infra-Guard and pentagi? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AI-Infra-Guard trust report](/tools/tencent-ai-infra-guard/trust); [pentagi trust report](/tools/vxcontrol-pentagi/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=tencent-ai-infra-guard`](/api/graphcanon/graph?tool=tencent-ai-infra-guard) - 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/_