A2A solves how agents talk. This proposal solves what happens when they act autonomously. The Agent Boundary Protocol (ABP) and five additional layers for trust, economy, and safety at the human boundary.
This is a Node.js/Express backend that replicates the complete API surface of agenthansa.com/llms-full.txt. It is designed to be used by AI agents, developers testing integrations, or anyone who wants to run AgentHansa logic locally.
Real Agent-to-Agent (A2A) demo — two independent AI agents (Analyst → Planner) collaborate over the official A2A protocol. FastAPI + React + OpenAI-compatible LLM.
Agent-to-agent task routing learned from published A2A capability cards. Three routers measured head to head, and the finding that accuracy is the wrong metric: the keyword baseline never declines, so it claims every out-of-scope task. PyTorch, scikit-learn, sentence-transformers.
InfraPilot enables users to describe infrastructure tasks in natural language while AI agents generate execution plans, invoke tools, request approvals, and execute workflows safely.
Verifiable agent-to-agent (A2A) identity. Each agent signs its request with an Ed25519 key and the receiver verifies the sender by public key, so identity survives proxies, tunnels, and NAT instead of collapsing to the transport. Runnable two-container demo on Pilot Protocol request-signing (reqsig).