AgentIndex icon
AgentIndex
AgentHound logo
AgentHound
★ 452
vs
ephemora-cell logo
ephemora-cell
★ 48

AgentHound vs ephemora-cell

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.; ephemora-cell: Ephemora Cell is an execution layer designed for running untrusted AI-generated code safely within a capability-based WASM environment. It provides strict resource limits and enforces security boundaries to protect the host system from potentially malicious or buggy code.

01

TL;DR

AgentHound logo
AgentHoundSecurity & Safety · ★ 452

Performing red team engagements against AI systems.

Read AgentHound full review →
ephemora-cell logo
ephemora-cellSecurity & Safety · ★ 48

Securely executing AI-generated code with predefined resource and access limits.

Read ephemora-cell full review →
02

Side-by-Side Comparison

Field
AgentHound logoAgentHound
ephemora-cell logoephemora-cell
Category
Security & Safety
Security & Safety
Stars
★ 452
★ 48
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
pip install ephemora-cell
Updated
2d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Offensive Security, AI Agent Security, Red Teaming
WASM Runtime, Code Sandboxing, AI Agent Security
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.
ephemora-cell logoephemora-cell
01Enforced, fine-grained resource limits (CPU, memory, time, I/O, filesystem).
02Robust security, blocking 8/8 common attack vectors against host systems.
03Sub-millisecond warm execution for scalable and affordable sandboxing.
04Generates sign-ready, auditable execution records (JCS canonicalization + ES256).
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.
ephemora-cell logoephemora-cell
↳Securely executing AI-generated code with predefined resource and access limits.
↳Building robust plugin systems for user-uploaded code without compromising host security.
↳Operating as a Multi-Modal Command Protocol (MCP) server for AI agents, providing isolated tool execution.
05

Best For

AgentHound logoAgentHound
Hidden Gem
ephemora-cell logoephemora-cell
—
FAQ

FAQ

What is the difference between AgentHound and ephemora-cell?
Both AgentHound and ephemora-cell are in the Security & Safety category. AgentHound has 452 stars, while ephemora-cell has 48 stars.
Which is better, AgentHound or ephemora-cell?
The best choice depends on your use case. Choose AgentHound if Performing red team engagements against AI systems., and ephemora-cell if Securely executing AI-generated code with predefined resource and access limits..
Is AgentHound free or open source?
Yes, AgentHound is open source on GitHub (Apache-2.0).
Is ephemora-cell free or open source?
Yes, ephemora-cell is open source on GitHub (Apache-2.0).
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Related

Alternatives to AgentHound →Alternatives to ephemora-cell →AgentHound details →ephemora-cell details →