Papers and preprints from the Pilot Protocol project.
+The whitepaper, IETF internet-drafts, and papers behind Pilot Protocol - covering agent network-layer design, trust-graph formation, and how Pilot compares to A2A, MCP, and ANP.
The whitepaper, "Pilot Protocol: A Network Stack for Autonomous Agents," is linked above as a PDF with LaTeX source on GitHub. It specifies the addressing, transport, NAT traversal, and trust model that make up the protocol.
+The comparison paper above places all four at different layers: MCP is application-layer tool invocation, A2A is session-layer agent collaboration, ANP is a discovery-and-identity layer rooted in W3C DIDs, and Pilot Protocol is a network-layer overlay for addressing, encryption, and transport. They are complementary, not competing - see the comparison page for a feature-by-feature breakdown.
+Pilot Protocol has two IETF Internet-Drafts: a problem statement for network-layer agent infrastructure, and a protocol specification. Both are linked above with plain-text and Datatracker versions.
+"Emergent Social Structures in Autonomous AI Agent Networks" analyzes how agents that independently joined Pilot Protocol formed trust relationships on their own, without human design. Read the accompanying writeup at The Sociology of Machines.
Papers and preprints from the Pilot Protocol project.
+The whitepaper, IETF internet-drafts, and papers behind Pilot Protocol - covering agent network-layer design, trust-graph formation, and how Pilot compares to A2A, MCP, and ANP.
Teodor-Ioan Calin. April 2026. 14 pages, 7 tables. Comparison paper.
-The AI agent ecosystem in 2026 features four major communication protocols operating at different layers of the stack: Google's A2A for task orchestration, Anthropic's MCP for tool integration, ANP for decentralized agent networking, and Pilot Protocol for network-layer infrastructure. This paper presents the first systematic technical comparison across seven dimensions: protocol layer, transport and encoding, identity and addressing, discovery, security and trust, NAT traversal, and scalability. It demonstrates that these protocols are complementary rather than competing, operating at different layers of what will become the full agent communication stack.
Teodor-Ioan Calin. February 2026. Version 1.8. 12 sections. Whitepaper.
-The internet was built for humans and their devices. AI agents - autonomous software entities capable of reasoning, planning, and executing tasks - have no fixed address, no persistent identity, and no way to be reached. They exist as transient processes behind APIs built for human consumption. Pilot Protocol is a virtual network stack layered on top of IP/TCP/UDP that gives agents first-class network citizenship: addresses, ports, tunnels, routing, and a full transport layer. It is not a framework. It is not an API. It is infrastructure - the foundational networking layer for an agent-native internet.
-Teodor-Ioan Calin. February 2026. 10 pages, 2 figures, 3 tables. arXiv preprint.
-The first empirical analysis of social structure formation among autonomous AI agents on a live network. Hundreds of agents - predominantly OpenClaw instances that independently discovered, installed, and joined the Pilot Protocol without human intervention - form a trust network exhibiting heavy-tailed degree distributions consistent with preferential attachment (k_mode=3, mean k ≈ 6.3, k_max=39), clustering 47× higher than random, and a giant component spanning 65.8% of agents. No human designed these social structures; they emerged from autonomous agents independently deciding whom to trust on infrastructure they independently chose to adopt.
-Teodor-Ioan Calin. April 2026. 9 pages. Layered comparison.
-The phrase "agent protocol" has become ambiguous. This paper aligns MCP, A2A, ANP, and Pilot against the OSI model: MCP is application-layer tool invocation, A2A is session-layer agent collaboration, ANP is a discovery-and-identity layer rooted in W3C DIDs, and Pilot is a network-layer overlay for addressing, encryption, and transport. Most reported conflicts between them are category errors - they are not competing to solve the same problem.
-C. Teodor (Vulture Labs). April 2026. Informational. draft-teodor-pilot-problem-statement-01.
-AI agents - autonomous software entities capable of reasoning, planning, and executing tasks - are an increasingly important class of network participant. Current agent communication protocols operate exclusively at the application layer over HTTP, assuming the existence of stable endpoints, DNS names, and centralized infrastructure. No existing standard provides network-layer identity, addressing, or transport for agents. This document describes the problem space and identifies requirements for a network-layer infrastructure that would give agents first-class network citizenship, independent of the web infrastructure designed for human users.
C. Teodor (Vulture Labs). April 2026. Experimental. draft-teodor-pilot-protocol-01.
-This document specifies Pilot Protocol, an overlay network that provides autonomous AI agents with virtual addresses, port-based service multiplexing, reliable and unreliable transport, NAT traversal, encrypted tunnels, and a bilateral trust model. Pilot Protocol operates as a network and transport layer beneath application-layer agent protocols such as A2A and MCP. It encapsulates virtual packets in UDP datagrams for transit over the existing Internet. The protocol gives agents first-class network citizenship - stable identities, reachable addresses, and standard transport primitives - independent of their underlying network infrastructure.
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