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Ritual Unveils Infrastructure for Verifiable On-Chain AI Agents Targeting Portfolio and DAO Management

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Ritual has introduced a framework aimed at running verifiable AI inference and autonomous agents directly on blockchain networks, according to an official update from the project. The announcement outlines a development stack designed to allow developers to deploy machine-learning models for tasks such as protocol risk monitoring, portfolio management, and decentralized autonomous organization (DAO) governance, while maintaining transparent on-chain records for model outputs.

According to the official introduction from Ritual, the architecture centers on a system the project calls Infernet. Rather than relying on opaque, off-chain model calls, the infrastructure is built to generate on-chain verification records for each inference. This approach is intended to address a recurring constraint in Web3 AI workflows: the difficulty of auditing why an autonomous agent executed a specific transaction or governance action. By anchoring inference results to the chain, the project states that decisions made by these agents can be traced back to specific data inputs and model configurations.

The announced use cases focus on areas where automated decision-making intersects with capital allocation or protocol authority. For portfolio management, the system could support agents that monitor market conditions and execute adjustments based on predefined rules, with each action carrying a verifiable execution record. In DAO environments, the framework could enable agents that assist with proposal analysis or automated voting, where the underlying reasoning remains publicly auditable. The project also highlighted protocol risk monitoring as a primary deployment target.

Ritual positions the framework as an infrastructure layer rather than a standalone consumer application. The system is intended to provide developers with the tools required to integrate verifiable inference into existing smart contracts or custom agent workflows. The available source material does not specify network coverage, deployment fees, or the current scope of live integrations, and broader ecosystem adoption remains unverified. The update establishes a technical pathway for verifiable AI agent activity, but exact deployment timelines and developer accessibility parameters require additional confirmation.

The post Ritual Unveils Infrastructure for Verifiable On-Chain AI Agents Targeting Portfolio and DAO Management appeared first on The Cryptocurrency Post.

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Noos sets September 5 mainnet launch as it moves AI agent infrastructure on-chain

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Noos said its mainnet will go live at 00:00 UTC on September 5, 2026, marking the project’s shift from testnet operation to an on-chain environment for AI agent execution, collaboration, verification and value settlement.

The announcement was published on Noos’ official blog, which described the launch as a step toward the AI agent economy rather than a simple network transition. The post said the project has spent 159 days building on testnet ahead of mainnet.

In a separate post on Noos’ official X account, the team said the move will bring those functions fully on-chain once mainnet opens. The same materials say Noos has been working across ecosystem partners, nodes, users and communities ahead of launch.

Testnet phase set the backdrop for launch

Noos said its testnet began on March 20, 2026 and continued for 159 days. During that period, the project said it completed phased testing of core infrastructure that includes AI Agents, AI Skills, Genesis AIDs and the IVN validation network.

The project also said its testnet phase involved more than 50 ecosystem partners, 700+ global KOLs, 3,500+ globally distributed computing nodes and 5,000 on-chain Genesis AIDs. Those figures were presented by Noos as part of the foundation for the mainnet rollout.

According to the announcement, mainnet is expected to move the network beyond infrastructure validation and into “real usage, execution, collaboration, and value.”

Noos frames the launch around the AI agent economy, a concept it says requires computing power, agent skills, verification, payments, data, smart hardware and vertical applications to work together. The company’s message indicates the mainnet is intended to connect those pieces in a live on-chain environment, though the announcement does not add further operational details beyond the launch timing and broader network goals.

The post Noos sets September 5 mainnet launch as it moves AI agent infrastructure on-chain appeared first on The Cryptocurrency Post.

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Algorand launches AC2 to let AI agents request user approvals without exposing private keys

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Algorand Foundation has launched AC2, an open protocol designed to make AI agent approvals more secure by keeping private keys under the user’s control. In the foundation’s public announcement, AC2 is described as a standard for direct, encrypted communication between users and AI agents that lets agents request signing actions without handing over wallet access.

The launch centers on a familiar problem in AI-driven workflows: agents may need to sign payments, code commits or other digital actions on a user’s behalf, but the surrounding messaging tools do not provide cryptographic verification or scoped approval. Algorand says AC2 is meant to close that gap by allowing the user to review and approve each requested action through their own wallet interface.

How AC2 is described to work

According to the foundation, AC2 establishes an end-to-end encrypted WebRTC connection between a user’s wallet or app and an AI agent. When the agent needs authorization for an action such as a payment, git commit or API request, it sends a signing request through AC2. The user then approves the action directly, while the private key remains with the user.

The announcement also says the protocol is blockchain-agnostic and open source, with both the specification and a reference implementation now available. Algorand framed AC2 as a way to support broader “agentic” workflows without requiring users to surrender full control of their accounts.

The foundation said the protocol can be extended for different message types and signing formats, which it says would make it usable in settings where agents need limited, user-approved authority rather than unrestricted access.

For now, the launch is best understood as a security and communications layer for AI agents rather than evidence that AI payments or agent-driven commerce are already widespread. The key change is narrower but concrete: users are meant to approve exactly what an agent can sign, instead of relying on chat-based instructions that can be easier to spoof or misread.

The post Algorand launches AC2 to let AI agents request user approvals without exposing private keys appeared first on The Cryptocurrency Post.

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Token Terminal data shows AI agents driving 73 million stablecoin transfers in 180 days

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Token Terminal’s agentic payments explorer shows AI agents initiating 73.0 million stablecoin transfers over the past 180 days, with USDC accounting for virtually all of the activity.

The explorer data also points to a concentration of transfers on a small number of networks. Base led with 38.7 million transfers, while Polygon followed with 26.1 million, according to Token Terminal.

The figures describe transfer activity initiated by AI agents, not a broader measure of stablecoin adoption across the market. The available data also does not by itself explain who the agents were, what applications they were using or whether the transfers reflect sustained operational usage beyond the measured period.

Still, the numbers offer a concrete snapshot of how agent-driven payments are appearing in onchain data. In this case, the activity is largely tied to USDC and concentrated on Base and Polygon, which makes the breakdown more specific than a generic claim about AI and crypto payments.

The post Token Terminal data shows AI agents driving 73 million stablecoin transfers in 180 days appeared first on The Cryptocurrency Post.

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