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heimdall-pentest

An autonomous AI agent framework for authorized penetration testing

Details

External ID
1369655549
Source
GITHUB
Company
—
Product
heimdall-pentest
Website domain
github.com
Launched
Sept. 14, 2026
Cohort
—
Upvotes
67
Upvotes percentile
0.8802843966179862
Tags
—
Fetched at
Sept. 18, 2026, 5:02 p.m.
Updated at
Sept. 18, 2026, 5:02 p.m.

Enrichment

Theme
ai cybersecurity and penetration testing
Vertical
Security
Function
Agent / copilot
Audience
B2B
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
autonomous ai agent for penetration testing
Manually corrected
False

Could you build this?

Partial The orchestration loop and tool-calling interfaces are straightforward to vibe-code, but reliable autonomous multi-step exploitation requires offensive security domain knowledge.

What it would actually take: A production version would use Python with an agent framework like LangGraph, sandboxed Docker containers, and APIs wrapping CLI tools like Nmap, Nuclei, and Metasploit. The hard part is building robust context-aware planning, stateful exploitation graph tracking, and managing interactive terminal sessions without triggering hallucinated payloads or infinite loops. It requires senior penetration testers and security engineers to build reliable decision logic.

Competitors

Other products that read as similar to this one — 1874 launches clear the similarity bar, closest 8 shown.

Attention rank: #203 of 1875 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 320 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.