Armur-Ai/Pentest-Swarm-AI

Health v2 · maintenance only

Adoption not part of the score

2755 stars · 501 forks observed · 2026-10-07

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An open-source autonomous penetration testing application that orchestrates a swarm of AI agents (recon, classification, exploitation, reporting) using ReAct reasoning and a shared stigmergic blackboard. Built in Go, it supports bug bounty, continuous monitoring, and CTF modes and works with Claude, OpenAI-compatible APIs, or fully local models via Ollama/LM Studio.

Use cases

• automate penetration testing with ai agents
• run autonomous recon and exploitation on a target
• find and verify vulnerabilities for bug bounty hunting
• continuous security monitoring of my attack surface
• practice ctf challenges with an ai agent
• run pentesting fully locally with ollama
• generate pentest reports with evidence automatically

When to choose

• you want autonomous, evidence-backed pentesting rather than passive scanning
• you need parallel coverage of large attack surfaces like thousands of subdomains
• you want to use local or self-chosen LLMs as the reasoning engine
• you run bug bounty, CTF, or continuous monitoring engagements

When to avoid

• you need a mature, compliance-certified commercial pentest product
• you cannot legally authorize testing against your targets
• you require guaranteed accuracy — the project is alpha and LLM-driven findings need human review
• you need a lightweight passive scanner rather than an active exploitation harness

Facets

application · maturity experimental

agent-framework penetration-testing security llm-inference workflow-automation security penetration-testing artificial-intelligence go cli ai-swarm offensive-security bug-bounty ctf react-agents autonomous-pentesting stigmergic-blackboard ollama claude-api ai-agents linux macos docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Armur-Ai/Pentest-Swarm-AI")