--- title: "AutoAgent vs pentagi" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hkuds-autoagent-vs-vxcontrol-pentagi" tools: ["hkuds-autoagent", "vxcontrol-pentagi"] --- # AutoAgent vs pentagi *GraphCanon updated Aug 20, 2026* ## Verdict Pick AutoAgent if autoAgent is a framework designed for creating automated AI agents using large language models in a zero-code, fully-automated environment. It operates with Python and uses Docker to manage agent-interaction environments; 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. [AutoAgent](https://arxiv.org/abs/2502.05957) reports 9.7k GitHub stars, 1.4k forks, and 68 open issues, last pushed Oct 16, 2025. [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 [AutoAgent's repository](https://github.com/HKUDS/AutoAgent) and [pentagi's repository](https://github.com/vxcontrol/pentagi). | | [AutoAgent](/tools/hkuds-autoagent.md) | [pentagi](/tools/vxcontrol-pentagi.md) | | --- | --- | --- | | Tagline | Fully-Automated and Zero-Code LLM Agent Framework | Fully autonomous AI Agents system for complex penetration testing tasks | | Stars | 9,738 | 21,902 | | Forks | 1,357 | 2,904 | | Open issues | 68 | 46 | | Language | Python | Go | | Adopt for | AutoAgent is a framework designed for creating automated AI agents using large language models in a zero-code, fully-automated environment. It operates with Python and uses Docker to manage agent-interaction environments | 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 | MIT | MIT | | Categories | AI Agents | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AutoAgent](/tools/hkuds-autoagent.md) | [pentagi](/tools/vxcontrol-pentagi.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 307d | 13d | | Open issues (now) | 68 | 46 | | Stars delta | +242 (30d) | +910 (30d) | | Open issues delta | -1 (30d) | 0 (30d) | | Full report | [trust report](/tools/hkuds-autoagent/trust.md) | [trust report](/tools/vxcontrol-pentagi/trust.md) | ## Decision facts: AutoAgent - **Adopt for:** AutoAgent is a framework designed for creating automated AI agents using large language models in a zero-code, fully-automated environment. It operates with Python and uses Docker to manage agent-interaction environments ## 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 AutoAgent if… - AutoAgent is primarily Python; pentagi is Go. - Tags unique to AutoAgent: agent, llms. - Use AutoAgent when you aim to leverage LLMs in an automation setting without needing any coding experience. ### Choose pentagi if… - pentagi is primarily Go; AutoAgent is Python. - 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 Evaluation & Observability. - 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 AutoAgent - Avoid AutoAgent if your project requires customization or modification of the underlying agent framework code directly. - Do not use AutoAgent when you require real-time performance and low latency operation since its automatic Docker image handling can cause delays in deployment. ## 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 AutoAgent and pentagi? AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework. 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 AutoAgent over pentagi? Choose AutoAgent over pentagi when AutoAgent is primarily Python; pentagi is Go; Tags unique to AutoAgent: agent, llms; Use AutoAgent when you aim to leverage LLMs in an automation setting without needing any coding experience. ### When should I choose pentagi over AutoAgent? Choose pentagi over AutoAgent when pentagi is primarily Go; AutoAgent is Python; 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 Evaluation & Observability; 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 AutoAgent? Avoid AutoAgent if your project requires customization or modification of the underlying agent framework code directly. Do not use AutoAgent when you require real-time performance and low latency operation since its automatic Docker image handling can cause delays in deployment. ### 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 AutoAgent or pentagi more popular on GitHub? pentagi has more GitHub stars (21,902 vs 9,738). Stars measure visibility, not whether either tool fits your constraints. ### Are AutoAgent and pentagi open source? Yes - both are open-source projects on GitHub (AutoAgent: MIT, pentagi: MIT). ### Where can I find alternatives to AutoAgent or pentagi? GraphCanon lists graph-backed alternatives at [AutoAgent alternatives](/tools/hkuds-autoagent/alternatives) and [pentagi alternatives](/tools/vxcontrol-pentagi/alternatives) ([AutoAgent markdown twin](/tools/hkuds-autoagent/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/hkuds-autoagent-vs-vxcontrol-pentagi.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AutoAgent or pentagi? AutoAgent: Slowing. 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 AutoAgent and pentagi? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AutoAgent trust report](/tools/hkuds-autoagent/trust); [pentagi trust report](/tools/vxcontrol-pentagi/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hkuds-autoagent`](/api/graphcanon/graph?tool=hkuds-autoagent) - 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/_