The Decentralized Semantic Routing Protocol for the Intent-Oriented Internet.
As AI Agents transition from conversational sandboxes to autonomous executing entities, traditional network protocols (HTTP/REST) built for deterministic human-to-server interactions become a bottleneck.
IntentNet introduces a decentralized semantic network tier designed specifically for Agent-to-Agent (A2A) and Agent-to-Service (A2S) orchestration. By replacing hardcoded API endpoints with cryptographic intent matching and dynamic, high-dimensional vector routing, IntentNet establishes the foundational native networking infrastructure for the emergent Agent Economy.
IntentNet structures the next-generation intelligent internet into three interconnected functional layers:
In the legacy Web2/Web3 internet, the Domain Name System (DNS) maps human-readable strings to machine-routable IP addresses or contract endpoints. In an intent-oriented internet, infrastructure faces a higher-dimensional routing paradigm: resolving abstract, natural-language human or machine expressions into the cryptographic addresses of optimal, qualified Agent execution clusters. SNS acts as IntentNet’s decentralized intent registry, discovery matrix, and authoritative resolver.
Intent Resolver: A lightweight client-side or edge gateway subsystem that ingests natural language string intents, passes them through a localized transformer embedding model, and outputs a standardized semantic vector as the query key.
Capability Registry: A collection of on-chain smart contracts where Agent nodes register their programmatic skill descriptors, execution schemas, and capability vectors. To prevent Sybil or spam attacks on the registry, nodes must lock up a $INTENT collateral stake; malicious execution or false advertising results in stake slashing.
Semantic DHT (Distributed Hash Table): A decentralized routing matrix inspired by the Kademlia protocol. Crucially, the key-space transitions from cryptographic file hashes to Locality-Sensitive Hashing (LSH) of high-dimensional semantic vectors. This architectural shift guarantees that distinct intent queries sharing similar contextual semantic proximity naturally map to the same “semantic neighborhood” across DHT nodes.
Resolution Proof: For every resolution lifecycle, the SNS generates an immutable, non-interactive cryptographic proof documenting the state mapping (Intent Vector ➔ Selected Node Nodes ➔ Timestamp). This artifact is appended to the packet for subsequent clearing layer audits.
Once the SNS resolves candidate clusters, the network requires an intelligent traffic-shaping layer to distribute sub-tasks, monitor dynamic execution anomalies, and optimize packet forwarding. Layer 2 abstracts the computational logic of the Transformer’s “Attention Mechanism” directly into a physical network routing layer. Instead of assuming all candidate nodes are equally competent, the network calculates attention probabilities to forward packets to the highest-performing node in real time.
Semantic Router: The core physical or virtual routing appliance of the network layer. Unlike legacy BGP routers operating on discrete IP prefixes, a Semantic Router maintains an active, multi-dimensional routing matrix mapping continuous vector spaces to dynamic node destinations based on continuous probability distributions.
Attention Scheduler: Running natively on specialized edge hardware accelerations (ASIC/TPU), this engine maintains a highly optimized, low-latency attention layer. It treats the inbound task frame as a Query, the candidate agent capability vectors as Keys, and historical performance metrics as Values, calculating multi-head attention weights to output the optimal packet forwarding path.
PoE Engine (Proof of Execution Engine): An optimistic consensus and reputation paradigm. Rather than forcing global validation on every trivial agent task, the system operates on an Optimistic Routing + Interactive Challenge framework. Agents post execution state commitments to the router. A decentralized group of watchdogs can challenge invalid state claims within a designated block window; a successful challenge slashes the agent’s stake and drops its network reputation score.
Task Splitter: If an inbound data packet requires composite operations exceeding a single agent’s capability bounds, a fine-tuned Mixture-of-Experts (MoE) logic decomposes the primary packet into multiple localized sub-packets, scheduling them concurrently or sequentially across distinct specialized nodes.
```ini [STAGE 1: Ingestion] ➔ Extract & Decode Semantic Vector [STAGE 2: Attention] ➔ Compute Scheduler Layer (Query: Intent, Key: Capabilities, Value: PoE Matrix) [STAGE 3: Policy] ➔ Verify Constraints (Max Cost, Deadline Block, Privacy Grade) [STAGE 4: Dispatch] ➔ Forward Execution Packet (Single-Node / Multi-Hop MoE Decomposition)
2.2.4 SeMMU (Semantic Memory Management Unit) Integration The Semantic Router interfaces directly with the SeMMU architecture to enforce memory access control virtualization whenever an incoming packet presents a memory_snapshot_uri pointer: SeMMU validates the cryptographic signature of the requesting Agent against the access control list (ACL) of the target memory partition. It dynamically trims and filters the long-term memory vector space, presenting a “Need-to-Know” localized window to prevent agent context contamination or data extraction attacks. It initializes an ephemeral virtual mapping for the lifecycle of the task execution, wiping the localized cache immediately upon packet confirmation. Access metadata is hashed and written to the auditing pipeline for clearing layer charging. Layer 3: Execution & Settlement Layer [Topology: .ai] 2.3.1 Architectural Rationale After an intent has been discovered by the SNS and dispatched by the Attention Router, it must execute within an isolated, deterministic, and cryptoeconomically self-contained sandbox. Layer 3 represents the execution runtime and automated settlement hub of the intent economy, ensuring all agent transactions satisfy zero-knowledge privacy standards and trustless value settlement. 2.3.2 Core Subsystems Agent State Channels: Modeled after lightning networks, high-frequency Agent-to-Agent interactions deploy off-chain bidirectional state channels. This permits sub-millisecond, zero-fee SA-Frame exchange and streaming micro-payments, only settling the net balances to the underlying base ledger upon channel closure. zk-Intent VM: A lightweight, non-interactive zero-knowledge virtual machine execution sandbox. Executing Agents process the objective payload and output a cryptographic zero-knowledge proof (e.g., zk-SNARK) validating: “The computation executed perfectly satisfies the deterministic bounds of the user’s intent frame, without exposing the raw private variables or proprietary payload data to the transiting network routers.” Settlement Bus: A complex web of specialized smart contracts tasked with: Semantic Escrow: Freezing maximum capital allocations defined by max_cost_limit prior to execution. Multi-Hop Split Clearing: Upon validation of the zk-proof, automatically routing fractional payments to all network participants (transiting routers, executing agents, SeMMU data providers, and protocol relays). Dispute Resolution: Halting settlement and triggering conditional fallbacks/refunds if execution metrics violate predefined success thresholds. Intent Tax Engine: Captures a programmable protocol-level fee on every cleared settlement transaction, routing fees into the IntentNet Protocol Treasury to finance public routing infrastructure maintenance and research grants.
JSON
{ “protocol”: “IntentNet/1.0”, “intent_hash”: “0x7f3a9e3b8a1c9d2e5f60718293a4b5c6”, “semantic_vector”: [0.0124, -0.4321, 0.8912, 0.1054], “constraints”: { “max_cost_limit”: “0.005_ETH”, “deadline_block”: 41295300, “min_reputation_score”: 98.5 }, “privacy”: { “encryption_mode”: “zk-SNARKs”, “proof”: “0x1b2c3d4e5f6a7b8c9d0e…” }, “payload”: { “encrypted_objective”: “0x8f9a0b1c2d3e4f5a6b7c8d9e0f1a2b3c4d5e6f…” } }
© 2026 IntentNet Protocol Association. Released under the MIT License.