AgentHound logo
AgentHound
★ 452
vs
heddle logo
heddle
★ 14

AgentHound vs heddle

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.; heddle: Heddle provides a policy-and-trust layer for Model Context Protocol (MCP) tool servers, enabling secure and declarative exposure of APIs as AI agent tools. It offers built-in security features such as trust enforcement, credential brokering, and tamper-evident audit logging, alongside containerized sandboxing and AI-powered configuration generation.

01

TL;DR

AgentHound logo
AgentHoundSecurity & Safety · ★ 452

Performing red team engagements against AI systems.

heddle logo
heddleSecurity & Safety · ★ 14

Securely Exposing APIs to LLMs

02

Side-by-Side Comparison

Field
AgentHound logoAgentHound
heddle logoheddle
Category
Security & Safety
Security & Safety
Stars
★ 452
★ 14
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
git clone https://github.com/goweft/heddle.git && cd heddle && python -m venv venv && source venv/bin/activate && pip install -e ".[dev]"
Updated
2d ago
1mo ago
Open Source
Yes
Yes
Tags
Offensive Security, AI Agent Security, Red Teaming
AI Agent Security, Policy Enforcement, Declarative Configuration
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.
heddle logoheddle
01Declarative YAML Tool Configuration
02Comprehensive Security Controls
03AI-Powered Configuration Generation
04Containerized Sandboxing
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.
heddle logoheddle
↳Securely Exposing APIs to LLMs
↳Building AI Agent Tool Meshes
↳Automating Daily Operations with AI
↳Managing GPU Resources for LLMs
05

Best For

AgentHound logoAgentHound
Hidden Gem
heddle logoheddle
—
FAQ

FAQ

What is the difference between AgentHound and heddle?
Both AgentHound and heddle are in the Security & Safety category. AgentHound has 452 stars, while heddle has 14 stars.
Which is better, AgentHound or heddle?
The best choice depends on your use case. Choose AgentHound if Performing red team engagements against AI systems., and heddle if Securely Exposing APIs to LLMs.
Is AgentHound free or open source?
Yes, AgentHound is open source on GitHub (Apache-2.0).
Is heddle free or open source?
Yes, heddle is open source on GitHub (MIT).
Cloud Infrastructure
Ad

Deploy on DigitalOcean

Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.

Claim $200 Free Credit
→

Related