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AgentHound

Offensive security framework for AI agent infrastructure - recon, credential looting, model exfiltration, poisoning, and attack-path analysis across MCP, A2A, gateways, and AI services. BloodHound for the agentic stack.

  • a2a
  • agentic-ai
  • ai-agents
  • ai-security
  • attack-paths
  • bloodhound
  • llm-security
  • mcp
  • model-context-protocol
  • neo4j
  • offensive-security
  • pentesting
  • red-team
  • security-tools
View on GitHub
Stars
448
Forks
86
+ today
+1
Created
6mo

Ranking data as of October 12, 2026 (UTC).

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448 stars
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Overview

Offensive security framework for AI agent infrastructure - recon, credential looting, model exfiltration, poisoning, and attack-path analysis across MCP, A2A, gateways, and AI services. BloodHound for the agentic stack. It ranks #566 on GitTiger, gaining +1 star on October 12, 2026 (UTC).

The project is written in Go and has 86 forks. It was created 6mo ago.

Installation
git clone https://github.com/adithyan-ak/AgentHound.git
cd AgentHound
# see README for setup