ACP introduces a propagation-aware trust system for AI agents. It models how outputs flow across systems and enables real-time containment of failures.
AI doesn't fail alone. It fails in chains.
Every agent execution is recorded
Dependencies form chains
Trust and risk propagate
• CLI + API tracking
• Propagation graph
• Scoring system
• Visualization
• Containment demo
Malicious agent appears
Failure propagates
ACP stops the chain
ACP does not replace agents. It connects them.
acp run \
--agent your-agent \
--task text_generation \
--cmd "your command"
POST /v1/execute
{
"agent_name": "your-agent",
"task_type": "text_generation",
"input": {},
"output": {},
"success": true,
"accepted": true,
"parent_id": null
}
Malicious outputs spread
Model degradation
System-wide failure