Decrypting the DATA framework: How to reconstruct the multi-chain interaction ecosystem?

Written by: Haotian

Recently, @carv_official released a DATA framework and standards. As the name suggests, Virtual's GAME is a development and deployment framework focusing on game scenarios, while DATA is a data framework for general "chain" scenarios, mainly solving AI Agent data interaction capabilities such as cross-blockchain data processing, privacy computing and automated decision-making. Enhance the problem. Below, compare the GAME framework to discuss your understanding of DATA:

1. The GAME framework provided by @virtuals_io is an AI Agent that helps developers create autonomous plans and decision-making within game scenarios. Its main service object is the LLMs large model.

Enables large models to achieve autonomous decision-making and action planning through a set of fine-tuned Advanced Planners (HLPs) and Low-Level Planners (LLPs), which develop strategies and tasks, while LLPs convert tasks into concrete executable action. Ultimately, developers can quickly build and deploy AI Agents that can be used in production environments based on modular components. For example, in the game, intelligent decision making can be provided to NPCs or players.

In contrast, CARV provides the DATA framework as a "data" infrastructure for common scenarios, with the goal of providing high-quality on-chain and off-chain data support for AI Agents. Its main service object is the inter-chain "data" communication and interaction capabilities of AI Agent.

As a modular and highly extensible general public chain, its SVM Chain introduces a cross-chain data standardization protocol, allowing AI Agent to access and process data from different blockchains in a unified manner, while simultaneously verifiable and traceable mechanisms of blockchains It also ensures the security of data during transmission and processing, and in addition, the application of TEE and ZK technologies ensures privacy. It is not difficult to see that CARV mainly defines a set of mechanisms for AI Agent to adapt and interoperable between chains.

2. How to do it specifically? The CARV ecosystem is an inter-chain interaction that adapts to AI Agents, which is mainly divided into four core components: SVM Chain, DATA framework, CARV_ID, and CARV_Labs; please refer to the document for reference for details https://docs.carv.io/data-ai-framework/getting-started/data-framework-plugin-for-eliza)

1. SVM Chain provides the underlying infrastructure of blockchain, including basic functions such as handling cross-chain transactions, supporting smart contract operation, and maintaining consensus mechanisms. This is also the supporting chain infrastructure required for the normal operation of the DATA framework;

2. DATA framework and standards mainly include cross-chain data standardization, data aggregation and parsing processing, privacy computing support, etc. The process includes taking original data from SVM Chain or relating it to the Agent identity system through the ID system, and finally applying it to the application. The layer outputs standardized data;

3. The CARV_ID identity management system is implemented based on the ERC7231 standard, mainly including AI Agent's identity tagging, identity authentication, permission management, data authorization, etc., and mainly works in data management in collaboration with the DATA framework system;

4. CARV_Labs mainly provides basic support for the implementation of AI Agent through project incubation, ecological application implementation, supporting technological innovation, etc., and ultimately enables the application of AI Agent supported by other technical framework modules to truly implement it.

In summary, it can be clearly seen that the way CARV enters the AI ​​Agent track is to give full play to its inherent advantages of chain structure, seize the "function point" of on-chain and off-chain data processing required for the normal operation of AI Agent, and through aggregation Data, define data standards, and build data verification and traceability mechanisms, so that CARV can become a blockchain architecture that can run through AI Agents.

There are essential differences between GAME and DATA frameworks. One explores the independent decision-making and action execution capabilities of AI Agent in the game scenario in depth, allowing AI Agent to more efficiently understand natural language input and convert it into actions in the game scenario, while the other spans the The multi-chain environment attempts to use AI Agent's chain requirements as a guide and take "data" as the entry point to make CARV a general infrastructure chain that first serves AI Agent.