AgentHound logo
AgentHound
★ 452
vs
helm-ai-kernel logo
helm-ai-kernel
★ 60

AgentHound vs helm-ai-kernel

AgentHound: AgentHound is an open-source offensive security framework designed to assess the security posture of AI agent infrastructure. It performs reconnaissance, fingerprinting, credential looting, and active exploitation across various layers of the agentic stack, mapping attack paths into a Neo4j graph for comprehensive analysis.; helm-ai-kernel: HELM AI Kernel acts as a fail-closed execution firewall, intercepting AI agent requests to enforce default-deny policies and quarantine unknown tools. It provides verifiable evidence through signed receipts and EvidencePacks for audit and tamper checks, ensuring secure and governed AI operations.

01

TL;DR

AgentHound logo
AgentHoundSecurity & Safety · ★ 452

Performing red team engagements against AI systems.

helm-ai-kernel logo
helm-ai-kernelSecurity & Safety · ★ 60

Governing and securing AI agent interactions with external systems and infrastructure.

02

Side-by-Side Comparison

Field
AgentHound logoAgentHound
helm-ai-kernel logohelm-ai-kernel
Category
Security & Safety
Security & Safety
Stars
★ 452
★ 60
License
Apache-2.0
Apache-2.0
Install Command
curl -sSfL https://raw.githubusercontent.com/adithyan-ak/agenthound/main/docker/docker-compose.public.yml | docker compose -f - -p agenthound up -d --wait && curl -sSfL https://raw.githubusercontent.com/adithyan-ak/agenthound/main/install.sh | sh
brew install mindburnlabs/tap/helm-ai-kernel
Updated
2d ago
1d ago
Open Source
Yes
Yes
Tags
Offensive Security, AI Agent Security, Red Teaming
AI Agent Security, Execution Firewall, Policy Enforcement
03

Features

AgentHound logoAgentHound
01Full-spectrum attack surface analysis for AI agent infrastructure.
02Credential inventory and correlation across gateways and services.
03Modelfile, system-prompt, and fine-tune inventory and analysis.
04Model inversion to extract training-data residue.
05Active exploitation modules for tool/instruction poisoning and configuration implants.
helm-ai-kernel logohelm-ai-kernel
01Enforces fail-closed, default-deny execution policies for AI agent tool calls.
02Provides a Multi-tool Call Protocol (MCP) wrapper to quarantine unknown tools before execution.
03Generates signed receipts and offline-verifiable EvidencePacks for audit and tamper-proofing of agent decisions.
04Offers an OpenAI-compatible proxy for integrating existing AI clients with policy enforcement.
05Supports multiple language SDKs (Go, Python, TypeScript, Rust, Java) for developer integration.
04

Use Cases

AgentHound logoAgentHound
↳Performing red team engagements against AI systems.
↳Identifying and mapping attack paths in AI agent infrastructure.
↳Assessing the security posture and blast radius of AI deployments.
↳Auditing agent configuration, prompts, and tool access for vulnerabilities.
helm-ai-kernel logohelm-ai-kernel
↳Governing and securing AI agent interactions with external systems and infrastructure.
↳Auditing and verifying the decisions (ALLOW, DENY, ESCALATE) made by AI agents for compliance.
↳Protecting against unauthorized or risky actions by AI agents through execution firewalls.
↳Integrating a security layer into existing OpenAI-compatible AI client workflows.
05

Best For

AgentHound logoAgentHound
Hidden Gem
helm-ai-kernel logohelm-ai-kernel
—
FAQ

FAQ

What is the difference between AgentHound and helm-ai-kernel?
Both AgentHound and helm-ai-kernel are in the Security & Safety category. AgentHound has 452 stars, while helm-ai-kernel has 60 stars.
Which is better, AgentHound or helm-ai-kernel?
The best choice depends on your use case. Choose AgentHound if Performing red team engagements against AI systems., and helm-ai-kernel if Governing and securing AI agent interactions with external systems and infrastructure..
Is AgentHound free or open source?
Yes, AgentHound is open source on GitHub (Apache-2.0).
Is helm-ai-kernel free or open source?
Yes, helm-ai-kernel is open source on GitHub (Apache-2.0).
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