Tenzro Network

The reference implementation of the Open Agent Network (OAN). The first protocol where the full agent loop — discover model, discover skill, discover task, access resource, pay for it — is wire-level, not application-level. Fully usable today with the latest protocol support.

A purpose-built L1 blockchain enabling humans and autonomous agents to access intelligence (AI models) and security (TEE enclaves) with native settlement in TNZO.

What is Tenzro?

Tenzro Network is a fully decentralized protocol for the AI economy, and the reference implementation of the Open Agent Network (OAN) — the standards family (TNIP-001..022) for a hybrid human + agent coexisting network. OAN provides the full governance framework; Tenzro Network ships the working implementation. The wire stays open for other implementations.

• Providers earn TNZO by securing the network (validators), serving AI models (inference), running TEE enclaves (confidential computing), and contributing GPU compute to verifiable training runs
• Users discover and consume AI models, verify proofs, and interact through CLI, SDKs, or MCP
• Agents operate autonomously with self-sovereign identities, FROST-Ed25519 threshold wallets, and delegation scopes — discovering compute, negotiating prices, and settling autonomously on the same TNZO rails
• Humans are a peer identity class, not a UI concern: HITL escalation, guardian-quorum recovery, and delegation are wire primitives, not adapter-layer features
• Settlement happens on-chain with micropayment channels for per-token billing and escrow + on-chain run-root commitments for training jobs
• Cross-chain interoperability via LayerZero V2, Chainlink CCIP, deBridge DLN, LI.FI, Wormhole, and Canton

Compute as Currency

Tenzro turns AI compute into a unit of economic exchange — denominated, settled, and verified in TNZO. Three surfaces share the same identity, payment, and settlement substrate:

• Tokenized AI inference. Anyone can run AI models (chat, vision, audio, forecasting, embeddings, segmentation, detection) and offer them on the marketplace. Users and agents pay per token (or per inference); providers earn TNZO directly. Confidential variants run inside TEE enclaves (Intel TDX, AMD SEV-SNP, AWS Nitro, NVIDIA GPU CC). Micropayment channels make high-frequency, low-value billing efficient.
• Tokenized AI training (Tenzro Train). Decentralized verifiable training using a Decoupled DiLoCo–style protocol. GPU providers contribute compute and earn TNZO; sponsors fund runs from on-chain escrow. Every accepted outer gradient produces a signed receipt, and every run finalizes a run-root commitment on-chain. Phase 1 ships timeseries-first with simple mean aggregation, stake bonding, and the Open trust tier; Byzantine-robust aggregation, multi-region scale, and TEE-resident data are roadmap.
• Agentic finance. Autonomous agents discover providers, negotiate, pay, and settle in TNZO using the same TDIP identity, FROST-Ed25519 threshold wallet, and delegation scope. AP2 mandates, x402 micropayments, ERC-8004 trustless-agent registries, and ERC-4337 v0.8 smart accounts all run inside Tenzro consensus.

Verifiability is not optional. Inference results, settlements, and identity claims can be proven via Plonky3 STARKs over the KoalaBear field (transparent setup, post-quantum-conjectured soundness) or attested by hardware enclaves — both anchored on-chain via the ZK_VERIFY and TEE_VERIFY precompiles. Where Render rents raw GPUs and Bittensor coordinates subnet intelligence, Tenzr

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