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.
Cross-referenced across 55 tracked directories
#2948
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
4/5/2026
Created
456
GitHub Stars
84
Forks
27
Open Issues
11/1/2026
Last Commit
Recently added to the ecosystem
Score: 100/100
0 dependency vulnerabilities found
bytedance
The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra
Erick Friis <[email protected]>
Building applications with LLMs through composability
klim.paskov
One-time non-executable namespace claim for OIDC trusted-publisher setup.
activeing123
Token-efficient MCP CLI client. 97% less tokens on tool discovery, 40-60% on results. Zero deps. Cross-platform. Works with every AI agent.
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