Home/Compare/hexstrike-ai vs pentagi

Comparison

hexstrike-ai vs pentagi

Verdict

Pick hexstrike-ai if hexStrike AI MCP Agents is a specialized tool that leverages AI agents to automate cybersecurity tasks, suitable for users with advanced programming and security knowledge; 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.

Markdown twin · hexstrike-ai alternatives · pentagi alternatives

GraphCanon updated today

hexstrike-ai logo

hexstrike-ai

0x4m4/hexstrike-ai

11kpushed Aug 3, 2026
vs
pentagi logo

pentagi

vxcontrol/pentagi

22kpushed Aug 6, 2026

Trust & integrity

Signalhexstrike-aipentagi
Maintenance
Active (16d since push)
As of today · github_public_v1
Active (13d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
OSV dependency advisories
Published findings
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

hexstrike-ai
Advanced MCP server for automated cybersecurity tasks using AI agents
pentagi
Fully autonomous AI Agents system for complex penetration testing tasks

Stars

hexstrike-ai
11k
pentagi
22k

Forks

hexstrike-ai
2.3k
pentagi
2.9k

Open issues

hexstrike-ai
104
pentagi
46

Language

hexstrike-ai
Python
pentagi
Go

Adopt for

hexstrike-ai
HexStrike AI MCP Agents is a specialized tool that leverages AI agents to automate cybersecurity tasks, suitable for users with advanced programming and security knowledge.
pentagi
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

hexstrike-ai
-
pentagi
-

Runtime

hexstrike-ai
-
pentagi
-

License

hexstrike-ai
MIT
pentagi
MIT

Last pushed

hexstrike-ai
Aug 3, 2026
pentagi
Aug 6, 2026

Categories

hexstrike-ai
AI Agents
pentagi
AI Agents, Evaluation & Observability

Trust and health

Days since push

hexstrike-ai
16d
pentagi
13d

Open issues (now)

hexstrike-ai
104
pentagi
46

Stars delta

hexstrike-ai
+816 (30d)
pentagi
+910 (30d)

Open issues delta

hexstrike-ai
+10 (30d)
pentagi
0 (30d)

Owner type

hexstrike-ai
User
pentagi
Organization

OSV dependency advisories

hexstrike-ai
Published findings
pentagi
No lockfile (source not queried)

Full report

hexstrike-ai
Trust report

Choose hexstrike-ai if…

  • hexstrike-ai is primarily Python; pentagi is Go.
  • Pricing: HexStrike AI is offered under the MIT License, which means it's free to use; however, support for certain features may be provided through a freemium model or paid services..
  • Requirements: Min 4 GB RAM.
  • Tags unique to hexstrike-ai: ai-cybersecurity, bug-bounty-automation, llm-integration, pentesting.
  • When you need a flexible platform capable of integrating multiple AI clients such as Claude Desktop, VS Code Copilot, and others to enhance automated pentesting and vulnerability discovery.

When NOT to use hexstrike-ai

  • If you're looking specifically for a solution that currently supports the latest version (v0.14.0) of 5ire as it is not supported by HexStrike AI MCP Agents.
  • In scenarios requiring more generalized automation outside of cybersecurity, as HexStrike AI focuses explicitly on integrating LLMs with offensive security capabilities.

Choose pentagi if…

  • pentagi is primarily Go; hexstrike-ai 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: golang, open-source, penetration-testing-tools, security-testing.
  • 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 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: hexstrike-ai 11k · pentagi 22k (synced Aug 20, 2026).

Common questions

What is the difference between hexstrike-ai and pentagi?
hexstrike-ai: Advanced MCP server for automated cybersecurity tasks using AI agents. 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 hexstrike-ai over pentagi?
Choose hexstrike-ai over pentagi when hexstrike-ai is primarily Python; pentagi is Go; Pricing: HexStrike AI is offered under the MIT License, which means it's free to use; however, support for certain features may be provided through a freemium model or paid services.; Requirements: Min 4 GB RAM; Tags unique to hexstrike-ai: ai-cybersecurity, bug-bounty-automation, llm-integration, pentesting; When you need a flexible platform capable of integrating multiple AI clients such as Claude Desktop, VS Code Copilot, and others to enhance automated pentesting and vulnerability discovery.
When should I choose pentagi over hexstrike-ai?
Choose pentagi over hexstrike-ai when pentagi is primarily Go; hexstrike-ai 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: golang, open-source, penetration-testing-tools, security-testing; 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 hexstrike-ai?
If you're looking specifically for a solution that currently supports the latest version (v0.14.0) of 5ire as it is not supported by HexStrike AI MCP Agents. In scenarios requiring more generalized automation outside of cybersecurity, as HexStrike AI focuses explicitly on integrating LLMs with offensive security capabilities.
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 hexstrike-ai or pentagi more popular on GitHub?
pentagi has more GitHub stars (21,902 vs 11,216). Stars measure visibility, not whether either tool fits your constraints.
Are hexstrike-ai and pentagi open source?
Yes - both are open-source projects on GitHub (hexstrike-ai: MIT, pentagi: MIT).
Where can I find alternatives to hexstrike-ai or pentagi?
GraphCanon lists graph-backed alternatives at hexstrike-ai alternatives and pentagi alternatives (hexstrike-ai markdown twin, pentagi markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, hexstrike-ai or pentagi?
hexstrike-ai: 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 hexstrike-ai and pentagi?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hexstrike-ai trust report; pentagi trust report.

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