AgentHound logo
AgentHound
★ 452
vs
phantom-secrets logo
phantom-secrets
★ 18

AgentHound vs phantom-secrets

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.; phantom-secrets: Phantom protects sensitive API keys and credentials when working with AI coding agents by replacing real secrets with scoped placeholders. It uses an authenticated local proxy to inject configured authentication values into API requests, preventing agents from directly accessing or exposing actual secret values.

01

TL;DR

AgentHound logo
AgentHoundSecurity & Safety · ★ 452

Performing red team engagements against AI systems.

phantom-secrets logo
phantom-secretsSecurity & Safety · ★ 18

Securing API keys and sensitive credentials for AI coding agents in development workflows.

02

Side-by-Side Comparison

Field
AgentHound logoAgentHound
phantom-secrets logophantom-secrets
Category
Security & Safety
Security & Safety
Stars
★ 452
★ 18
License
Apache-2.0
MIT
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 tap ashlrai/phantom && brew trust --formula ashlrai/phantom/phantom && brew install ashlrai/phantom/phantom
Updated
2d ago
4d ago
Open Source
Yes
Yes
Tags
Offensive Security, AI Agent Security, Red Teaming
AI Agent Security, Secrets Management, Credential Protection
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.
phantom-secrets logophantom-secrets
01Reduces AI agent credential exposure risk by isolating secrets from agent context.
02Quick and easy local setup without requiring an account or custom CA.
03Native integrations with popular AI coding agents like Claude Code, Cursor, and Codex.
04Secure encrypted vault leveraging OS credential stores or an encrypted-file fallback.
05Tamper-evident audit log for security monitoring and integrity verification.
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.
phantom-secrets logophantom-secrets
↳Securing API keys and sensitive credentials for AI coding agents in development workflows.
↳Preventing credential leaks in agent contexts, transcripts, tool calls, and generated files.
↳Local development of AI-powered applications requiring secure access to external APIs.
↳Facilitating secure team collaboration on projects with shared secrets and AI agent involvement.
05

Best For

AgentHound logoAgentHound
Hidden Gem
phantom-secrets logophantom-secrets
—
FAQ

FAQ

What is the difference between AgentHound and phantom-secrets?
Both AgentHound and phantom-secrets are in the Security & Safety category. AgentHound has 452 stars, while phantom-secrets has 18 stars.
Which is better, AgentHound or phantom-secrets?
The best choice depends on your use case. Choose AgentHound if Performing red team engagements against AI systems., and phantom-secrets if Securing API keys and sensitive credentials for AI coding agents in development workflows..
Is AgentHound free or open source?
Yes, AgentHound is open source on GitHub (Apache-2.0).
Is phantom-secrets free or open source?
Yes, phantom-secrets is open source on GitHub (MIT).
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