AgentIndex icon
AgentIndex
AgentHound logo
AgentHound
★ 452
vs
assay logo
assay
★ 13

AgentHound vs assay

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.; assay: Assay provides an open, recomputable evidence profile for privileged AI agent tool actions, enforcing policies deterministically and fail-closed. It records decisions, observations, and unproven claims into tamper-evident bundles for offline verification and security auditing.

01

TL;DR

AgentHound logo
AgentHoundSecurity & Safety · ★ 452

Performing red team engagements against AI systems.

Read AgentHound full review →
assay logo
assaySecurity & Safety · ★ 13

Generating small, reviewable CI artifacts for bounded auditability from existing evaluation outputs, runtime decisions, or MCP tool-call tests.

Read assay full review →
02

Side-by-Side Comparison

Field
AgentHound logoAgentHound
assay logoassay
Category
Security & Safety
Security & Safety
Stars
★ 452
★ 13
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
curl -fsSL https://getassay.dev/install.sh | sh
Updated
2d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Offensive Security, AI Agent Security, Red Teaming
AI Agent Security, Tool Call Enforcement, Evidence Auditing
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.
assay logoassay
01Deterministic, fail-closed policy enforcement for tool calls, including optional kernel-level enforcement on Linux.
02Generates offline-verifiable, tamper-evident evidence bundles for audit and replay, integrated with CI without a hosted backend.
03Classifies claims by their trust basis (verified, self_reported, inferred, absent) to ensure honesty and prevent claims from exceeding observed facts.
04Policy gate (`assay mcp wrap`) for pre-execution allow/deny decisions on privileged tool calls, with clear reasons.
05Integrates with CI/CD pipelines via GitHub Actions and SARIF, enabling policy gates on pull requests and security-tab 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.
assay logoassay
↳Generating small, reviewable CI artifacts for bounded auditability from existing evaluation outputs, runtime decisions, or MCP tool-call tests.
↳Processing Promptfoo JSONL output from CI evaluations to produce evidence receipts and verified bundles.
↳Auditing and enforcing policies on MCP (Multi-Modal Command Protocol) tool calls, providing an allow/deny audit trail and observed-behavior evidence.
↳Implementing GitHub PR gates based on Trust Basis diffs and policy status, with SARIF/JUnit-ready output.
↳Generating inventory receipts and verified bundles from CycloneDX ML-BOM model components for model inventory and provenance.
05

Best For

AgentHound logoAgentHound
Hidden Gem
assay logoassay
—
FAQ

FAQ

What is the difference between AgentHound and assay?
Both AgentHound and assay are in the Security & Safety category. AgentHound has 452 stars, while assay has 13 stars.
Which is better, AgentHound or assay?
The best choice depends on your use case. Choose AgentHound if Performing red team engagements against AI systems., and assay if Generating small, reviewable CI artifacts for bounded auditability from existing evaluation outputs, runtime decisions, or MCP tool-call tests..
Is AgentHound free or open source?
Yes, AgentHound is open source on GitHub (Apache-2.0).
Is assay free or open source?
Yes, assay is open source on GitHub (MIT).
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