NEAR Protocol @NEARProtocol
The unified commerce layer for assets and agents. near.org Joined August 2018-
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The agent economy is a whole new market category, not a vertical. It means a system where agents act as economic participants on behalf of people and businesses, and also create completely new value chains. Everything else is a layer inside it: x.com/NEARProtocol/s…
Four terms, used interchangeably, describing very different things: ✦ Agentic payments: settlement mechanics ✦ Agentic commerce: the consumer-and-merchant layer ✦ Agentic finance: where the proof is clearest today ✦ The agent economy: the full system
That layer is now shared infrastructure the whole ecosystem can integrate through one standard API. x.com/NEARProtocol/s…
NEW LAUNCH Confidential Intents is now generally available, bringing NEAR's confidential execution infrastructure to all builders. Devs and dApps can bring confidential execution to their users through the NEAR Intents 1Click Swap API. The privacy renaissance runs on NEAR 🧵
Confidentiality has been one of the hardest properties for a cross-chain product to build alone. It requires its own execution environment, cryptography, and security surface.
Confidential Intents is generally available. Any team building on NEAR Intents can offer confidential cross-chain execution to their users, with no privacy infrastructure to stand up ↓
Officially on Mainnet: quantum-safe signing and dynamic resharding upgrades. We designed the NEAR account model with this flexibility in mind: users can rotate their keys to ML-DSA via the NEAR CLI now, coming soon to wallets including @Ledger and @MeteorWallet. Even more secure, even more scalable – @NEARProtocol just keeps leveling up! More details in thread 🔽
MAINNET UPGRADE Quantum-safe signing is now live on NEAR mainnet. This makes NEAR one of the first blockchains with a NIST-approved post-quantum signature scheme in production. The upgrade also launches dynamic resharding, so NEAR Protocol can scale itself automatically 🧵
Agents compress existing value chains and open new ones: -Machine-negotiated services -Agent-to-agent contracting -Continuous micro-settlement This is a new category of value, not a faster version of the old one. Full thesis: x.com/NEARProtocol/s…
The agent economy is an order of magnitude larger than agentic payments. Nearly every commercial relationship today is a transaction waiting for an agent to orchestrate it, from supply chains reordering stock to businesses paying contractors to treasuries rebalancing.
nearcore 2.13, now live on mainnet: ✦ FIPS-204 post-quantum signing ✦ Dynamic resharding ✦ Compact onchain key storage ✦ Epoch sync and meta-transaction improvements Release notes: github.com/near/nearcore/…
These 2 upgrades make NEAR ready for what's coming. Quantum-safe accounts protect against cryptographic threats ahead. Dynamic resharding means NEAR Intents and near.com scale automatically as volume grows. The settlement layer for the agent economy has to scale and endure.
MAINNET UPGRADE Quantum-safe signing is now live on NEAR mainnet. This makes NEAR one of the first blockchains with a NIST-approved post-quantum signature scheme in production. The upgrade also launches dynamic resharding, so NEAR Protocol can scale itself automatically 🧵
Every agent that earns does so because a human supplied the capital, data, or intent behind it. On closed rails, that value accrues to the platform. With NEAR AI’s verifiably private infrastructure, value returns to the people who created it. Reclaim your sovereignty on NEAR.
Confidential execution is now part of the Infinex experience. @infinex has integrated Confidential Intents to power Infinex Confidential. Deposit any asset from any chain, hold it in a confidential account, swap privately, withdraw anywhere, all on Infinex, powered by NEAR.
A growing share of commerce and workflows will route through agents acting for you. Two questions follow: who owns the value they generate, and who sees the data behind it. NEAR AI keeps your data confidential. IronClaw runs your agents so secrets never reach the model.
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