--- title: "agenta vs pentagi" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agenta-ai-agenta-vs-vxcontrol-pentagi" tools: ["agenta-ai-agenta", "vxcontrol-pentagi"] --- # agenta vs pentagi *GraphCanon updated Sep 30, 2026* ## Verdict Pick agenta if agenta is an open-source, self-hosted platform for building, managing, and orchestrating AI agents and automations, supporting integration with existing AI models like Claude and ChatGPT; 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. [agenta](http://www.agenta.ai) reports 4.8k GitHub stars, 673 forks, and 349 open issues, last pushed Sep 18, 2026. [pentagi](https://pentagi.com) has 25k stars, 3.2k forks, and 71 open issues, last pushed Sep 10, 2026. Figures are from public GitHub metadata via [agenta's repository](https://github.com/Agenta-AI/agenta) and [pentagi's repository](https://github.com/vxcontrol/pentagi). | | [agenta](/tools/agenta-ai-agenta.md) | [pentagi](/tools/vxcontrol-pentagi.md) | | --- | --- | --- | | Tagline | A workspace for building and orchestrating AI agents and automations. | Fully autonomous AI Agents system for complex penetration testing tasks | | Stars | 4,764 | 24,769 | | Forks | 673 | 3,186 | | Open issues | 349 | 71 | | Language | TypeScript | Go | | Adopt for | Agenta is an open-source, self-hosted platform for building, managing, and orchestrating AI agents and automations, supporting integration with existing AI models like Claude and ChatGPT. | 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 | Other | MIT | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agenta](/tools/agenta-ai-agenta.md) | [pentagi](/tools/vxcontrol-pentagi.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 10d | | Open issues (now) | 349 | 71 | | Stars delta | +319 (30d) | +2.9k (30d) | | Open issues delta | +79 (30d) | +25 (30d) | | Full report | [trust report](/tools/agenta-ai-agenta/trust.md) | [trust report](/tools/vxcontrol-pentagi/trust.md) | ## Decision facts: agenta - **Adopt for:** Agenta is an open-source, self-hosted platform for building, managing, and orchestrating AI agents and automations, supporting integration with existing AI models like Claude and ChatGPT. ## 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 agenta if… - agenta is primarily TypeScript; pentagi is Go. - License: agenta is Other, pentagi is MIT. - Tags unique to agenta: agent-builder, agent-observability, agent-orchestration, ai-agent. - When you need to integrate and manage AI agents and automations with existing models like Claude and ChatGPT. ### Choose pentagi if… - pentagi is primarily Go; agenta is TypeScript. - License: pentagi is MIT, agenta is Other. - 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: golang, open-source, penetration-testing-tools, security-testing. - pentagi ships Docker support for self-hosted deployment. - Use PentAGI when you need a fully autonomous solution for handling intricate penetration tests with minimal human intervention. ## When NOT to use agenta - If you are looking for a cloud-based service without the need for self-hosting. - If you do not require integration with specific AI models like Claude or ChatGPT. - If you need a platform that offers more than just agent building and orchestration, such as broader AI development features. ## 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 agenta and pentagi? agenta: A workspace for building and orchestrating AI agents and automations.. 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 agenta over pentagi? Choose agenta over pentagi when agenta is primarily TypeScript; pentagi is Go; License: agenta is Other, pentagi is MIT; Tags unique to agenta: agent-builder, agent-observability, agent-orchestration, ai-agent; When you need to integrate and manage AI agents and automations with existing models like Claude and ChatGPT. ### When should I choose pentagi over agenta? Choose pentagi over agenta when pentagi is primarily Go; agenta is TypeScript; License: pentagi is MIT, agenta is Other; 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: golang, open-source, penetration-testing-tools, security-testing; pentagi ships Docker support for self-hosted deployment; Use PentAGI when you need a fully autonomous solution for handling intricate penetration tests with minimal human intervention. ### When should I avoid agenta? If you are looking for a cloud-based service without the need for self-hosting. If you do not require integration with specific AI models like Claude or ChatGPT. If you need a platform that offers more than just agent building and orchestration, such as broader AI development features. ### 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 agenta or pentagi more popular on GitHub? pentagi has more GitHub stars (24,769 vs 4,764). Stars measure visibility, not whether either tool fits your constraints. ### Are agenta and pentagi open source? Yes - both are open-source projects on GitHub (agenta: Other, pentagi: MIT). ### Where can I find alternatives to agenta or pentagi? GraphCanon lists graph-backed alternatives at [agenta alternatives](/tools/agenta-ai-agenta/alternatives) and [pentagi alternatives](/tools/vxcontrol-pentagi/alternatives) ([agenta markdown twin](/tools/agenta-ai-agenta/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/agenta-ai-agenta-vs-vxcontrol-pentagi.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agenta or pentagi? agenta: 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 agenta and pentagi? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agenta trust report](/tools/agenta-ai-agenta/trust); [pentagi trust report](/tools/vxcontrol-pentagi/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agenta-ai-agenta`](/api/graphcanon/graph?tool=agenta-ai-agenta) - 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/_