CARV Unveils New Roadmap Leading to the Rise of AI Beings

Web3 AI startup CARV has unveiled a new roadmap for the actualization of AI beings. The project intends to shift AI from passive productivity tools into sovereign, autonomous AI Beings.

The beings will be created as live, autonomous entities on-chain, rather than just AI to enhance user-facing services such as analytics or summarization. They will also have their own identity, memory, reputation, and agency, being able to act economically, socially, and politically within blockchain networks.

With the support of CARV’s infrastructure anchored by its proprietary SVM Chain, D.A.T.A. Framework, and CARV ID (ERC-7231), AI agents will not just exist, but evolve and interact with both humans and other agents, creating decentralized, agent-powered economies.

From a data coordination layer to an AI-native operating system

AI beings are AI agents with extra abilities. Unlike conventional AI agents, they are sovereign actors in their own right, with the ability to own wallets, manage assets, earn income, participate in governance, and even reproduce or fork new agents.

They can also build on-chain memory and reputation while autonomously evolving through economic and social interactions with verifiability, resistance to centralized control, and decentralized identity and governance.

This vision will transform CARV from being a data coordination layer into an AI-native operating system that empowers autonomous on-chain intelligence.

The system has a five-layer architecture designed to support every aspect of AI agent life cycles including the infrastructure layer which is CARV’s scalable, auditable execution and low-latency consensus CARV SVM Chain that is optimized for AI operations.

There’s also a communication and computation layer which Enables agent-to-agent protocols and autonomous payments that fuel AI economies, an identity layer which Adds Agent ID to CARV ID, offering verifiable, persistent identity for both humans and agents, a governance and awareness layer which Embeds economic awareness and governance logic directly into AI agents, as well as an application layer which Powers AI-native applications such as companions, wallets, decentralized marketplaces, etc, thus interfacing with both users and other agents.

Key aspects of the roadmap

The roadmap is made up of three major evolutionary phases, namely Genesis, Pulse, and Convergence. 

In the Genesis phase of the evolution, the first wave of wallet-native AI agents will be activated. At this stage, the Model Context Protocol (MCP) establishes the foundation for context persistence and secure memory, enabling agents to access user-consented data such as credentials, preferences, and interactions.

This will be the first time personalization is achieved through verifiable, consent-driven memory, not black-box profiling.

Next, the Pulse Evolution phase will continue the Genesis phase. Here, users’ actions, such as staking, interaction, and participation in AI-powered apps, will feed real-time signals into CARV’s proprietary SVM Chain and decentralized Verifier Node network.

This enables agents to learn and evolve through on-chain feedback loops, incorporating staking patterns, user votes, and behavioral data. Agents also become economically aware, responding to staking incentives, adjusting their models based on community governance, and optimizing for alignment with user preferences.

It is a key stage that marks CARV’s transition from simply coordinating passive data to powering live, intelligent agent coordination systems that adapt in real time.

Finally, the Convergence Evolution phase is where individual intelligence becomes collective intelligence. At this stage, agents cease to evolve independently and begin to collaborate, transact, and govern as part of a network of AI Beings.

Through a multi-agent framework, unified reputation graph, and standardized identity protocols, they also gain the ability to negotiate, share context, and co-create outcomes across applications and domains.

An example of such collaborations is a nutrition AI agent coordinating with a fitness AI, or an educational assistant collaborating with a financial wellness bot, all operating under user-consented frameworks and verifiable on-chain logic.

At this stage, what began as staking and identity issuance evolves into fully autonomous AI economies where agents govern themselves, transact assets, and grow collectively with minimal human oversight.

With CARV’s decentralized tooling, the standards and incentives to enable AI-to-AI marketplaces, agent DAOs, and cross-agent governance are made available, allowing new coordination among AI agents that is impossible with centralized systems.