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AgentHound

MCP serverGitHubActiveGo

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.

Description provenance: Original source

Open canonical source

Measured: Oct 20, 2026 · 65 observations

Domains & Uses

Domains
Agents, skills and MCP

Check at the source

Compatibility and prerequisites must be checked in the official documentation.

https://github.com/adithyan-ak/AgentHound

Classifications

Nature
Tool

Measurement history

Comparable readings are grouped by signal and unit.

Stars

453stars · Oct 20, 2026

+13 (+3 %)since Sep 22, 2026

Sep 22, 2026 : 440 starsSep 23, 2026 : 440 starsSep 24, 2026 : 440 starsSep 25, 2026 : 438 starsSep 26, 2026 : 439 starsSep 27, 2026 : 440 starsSep 28, 2026 : 441 starsSep 29, 2026 : 441 starsSep 30, 2026 : 442 starsOct 1, 2026 : 442 starsOct 2, 2026 : 443 starsOct 3, 2026 : 443 starsOct 4, 2026 : 443 starsOct 5, 2026 : 442 starsOct 6, 2026 : 442 starsOct 7, 2026 : 445 starsOct 8, 2026 : 445 starsOct 9, 2026 : 446 starsOct 10, 2026 : 447 starsOct 11, 2026 : 447 starsOct 12, 2026 : 447 starsOct 13, 2026 : 449 starsOct 14, 2026 : 451 starsOct 15, 2026 : 450 starsOct 16, 2026 : 451 starsOct 17, 2026 : 452 starsOct 18, 2026 : 453 starsOct 19, 2026 : 453 starsOct 20, 2026 : 453 stars
Exact values · 29 readings
MeasuredstarsChange
4530
4530
453+1
452+1
451+1
450-1
451+2
449+2
4470
4470
447+1
446+1
4450
445+3
4420
442-1
4430
4430
443+1
4420
442+1
4410
441+1
440+1
439+1
438-2
4400
4400
440·