ARXIV:2603.03753 · AGENT NETWORKS · SUBMITTED 02 APR · 02:30 UTC · FRESHNESS STALE

VerifiedSource: PDF linkedPartialPaperPack: 3 of 4 citation fields filledMissingMissing fields: authorsPartialProof: unverified proof status

Agentic Peer-to-Peer Networks: From Content Distribution to Capability and Action Sharing

arXiv

A network architecture for AI agents to share capabilities and actions securely in peer-to-peer settings.

Blocked on Code›Score3.0Evidence unverified

Opportunity summary

Pain A network architecture for AI agents to share capabilities and actions securely in peer-to-peer settings.

Evidence 0 refs | 0 sources | 17% coverage

Blocker Evidence unverified

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PROBLEM

A network architecture for AI agents to share capabilities and actions securely in peer-to-peer settings. As these agents begin to collaborate by delegating subtasks directly between clients, they naturally form \emph{Agentic Peer-to-Peer (P2P) Networks}.

METHOD

Full abstract

The ongoing shift of AI models from centralized cloud APIs to local AI agents on edge devices is enabling \textit{Client-Side Autonomous Agents (CSAAs)} -- persistent personal agents that can plan, access local context, and invoke tools on behalf of users. As these agents begin to collaborate by delegating subtasks directly between clients, they naturally form \emph{Agentic Peer-to-Peer (P2P) Networks}. Unlike classic file-sharing overlays where the exchanged object is static, hash-indexed content (e.g., files in BitTorrent), agentic overlays exchange \emph{capabilities and actions} that are heterogeneous, state-dependent, and potentially unsafe if delegated to untrusted peers. This article outlines the networking foundations needed to make such collaboration practical. We propose a plane-based reference architecture that decouples connectivity/identity, semantic discovery, and execution. Besides, we introduce signed, soft-state capability descriptors to support intent- and constraint-aware discovery. To cope with adversarial settings, we further present a \textit{tiered verification} spectrum: Tier~1 relies on reputation signals, Tier~2 applies lightweight canary challenge-response with fallback selection, and Tier~3 requires evidence packages such as signed tool receipts/traces (and, when applicable, attestation). Using a discrete-event simulator that models registry-based discovery, Sybil-style index poisoning, and capability drift, we show that tiered verification substantially improves end-to-end workflow success while keeping discovery latency near-constant and control-plane overhead modest.

RESULT

ScienceToStartup currently rates this 3.0/10 on the public viability pass. Besides, we introduce signed, soft-state capability descriptors to support intent- and constraint-aware discovery.

WHY NOW

Agent Networks moved forward this cycle; last verified April 2026. Public score 3.0/10.

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Opportunity summary

Score3.0

PainA network architecture for AI agents to share capabilities and actions securely in peer-to-peer settings.

Evidence0 refs | 0 sources | 17% coverage

Blockermissing authors

Analysis summary

A network architecture for AI agents to share capabilities and actions securely in peer-to-peer settings.

VerifiedSource: PDF linkedPartialPaperPack: 3 of 4 citation fields filledMissingMissing fields: authorsPartialProof: unverified proof status

Competitive landscape

A network architecture for AI agents to share capabilities and actions securely in peer-to-peer settings.

Segment

Agent Networks

Adoption evidence

No public code link in the paper record yet

Commercial read

3.0/10 public viability

Direct

not classified

Adjacent

not classified

Substitute

not classified

Unknown

not classified

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Competitive landscape

A network architecture for AI agents to share capabilities and actions securely in peer-to-peer settings.

Segment

Agent Networks

Adoption evidence

No public code link in the paper record yet

Commercial read

3.0/10 public viability

Direct

not classified

Adjacent

not classified

Substitute

not classified

Unknown

not classified

Agentic Peer-to-Peer Networks: From Content Distribution to Capability and Action Sharing

Agentic Peer-to-Peer Networks: From Content Distribution to Capability and Action Sharing

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