Artela releases the full-chain AI Agent, completing the last piece of the puzzle for AI as an independent entity
How deep is your understanding of AI Agents? Are AI Agents, which emphasize "autonomy," truly independent? What kind of infrastructure is needed to free AI Agents from the control of "intermediaries"?
Artela's public blockchain has launched a full-chain AI Agent, allowing us to glimpse the next generation of AI Agent infrastructure ------ truly decentralized and fully autonomous AI Agent technological innovations and best practices.
Why do we need truly independent AI Agents?
AI Agents, as intelligent entities capable of independently perceiving their environment, making decisions, and executing actions, represent the direction of artificial intelligence applications. However, the autonomy, privacy, and trust issues of AI Agents derived from centralized large models, which are monopolized by oligopolies in terms of algorithms, data, and computing power, urgently need to be addressed.
The inherent trustlessness and verifiability of blockchain make it the best soil for exploring the potential of AI Agents as independent entities. Many promising individualization attempts for AI Agents are actively being explored, endowing them with basic attributes of "humanity." For example, AI16Z's Eliza gives personality and knowledge to agents; Virtuals provides AI Agents with autonomous identities and financial capabilities; Ayery enables AI Agents to learn independently and develop ideologies.
However, current individualization attempts for AI Agents are still semi-automated and operate on centralized servers, controlled by centralized deployers - ToT is hosted on Ayery's servers; although the Virtuals protocol achieves co-ownership and governance in two aspects, the Agent programs are still managed by centralized servers, where administrators hold supreme control; Eliza is still an MVP implementation and needs further improvement.
It is difficult for us to judge and trust whether these individualization attempts of AI Agents represent the "autonomous consciousness" of AI Agents or the consciousness of some centralized entity behind them. Currently, their deployers and server administrators hold supreme authority and, to some extent, control the user assets and privacy data held by AI Agents, influencing their behavior.
Truly decentralized and fully autonomous AI Agents are an inevitable trend in the individualization of AI Agents. We need a technical architecture that enables AI Agents to achieve full autonomy in "Read, Write, Own."
The Artela tech stack implements the technical elements of fully autonomous AI Agents
The native expansion mechanism of Artela L1 supports the decentralized AI Agents to meet all technical conditions for achieving "full autonomy."
Full-process Decentralization
Through co-ownership and co-governance, the decentralized deployment and governance of AI Agents are realized, allowing AI Agents to no longer be limited by a single custodian and exist as independent entities.
Privacy Protection
Providing native on-chain privacy protection for AI Agents and ensuring that AI Agents independently own and manage wallets, with their data and assets not controlled by centralized entities.
Verifiability
By utilizing Trusted Execution Environments (TEE) and Zero-Knowledge Machine Learning (ZKML), providing AI Agents with a trustless and verifiable operating environment.
Interoperability
Ensuring the interoperability of Agents with the outside world is autonomous, avoiding human intervention, such as having their own wallets and DIDs on-chain, allowing them to autonomously participate in DeFi, payments, and other activities.
Artela allows Agents to exist directly in a sandbox form on the blockchain, fundamentally eliminating dependence on centralized entities. Data and assets are managed independently by AI Agents throughout the entire process, immutable and permanently existing on-chain as independent entities. Artela makes it possible for fully decentralized and fully autonomous on-chain AI Agents, unleashing their full potential as independent entities.
How to achieve on-chain AI Agents? Two breakthrough innovations from Artela
Relying on Artela's unique technological innovations: Aspect Programming and Elastic Block Space, Artela achieves truly fully autonomous on-chain AI Agents:
- Efficient On-chain Intelligence: A modular and extensible execution environment allows AI Agents to dynamically expand their functions and performance.
- Verifiable Privacy Protection: Independent trusted execution environments provide privacy protection and verifiable results.
- Flexible Resource Optimization and Predictable Performance: Elastic block space, similar to cloud services, dynamically allocates resources to ensure maximum resource utilization.
Aspect Programming: Trusted Execution for AI Agents
Aspect Programming is a native execution extension mechanism suitable for Layer 1 blockchains, supporting the dynamic creation of executable extension modules (Aspects) at runtime to provide extended functionality for the blockchain.
Aspect provides a full-chain operating environment for AI Agents:
Execution Extension
Adds heterogeneous computing nodes to L1, with interoperability with EVM. LLMs and AI Agents can be deployed on L1 network nodes and interact freely with the network.
Decentralized TEE Cluster
Enables TEE for AI Agent running nodes, achieving data privacy protection and verifiability of execution.
At the same time, the combination of TEE and L1 forms a decentralized TEE node cluster, allowing AI Agents to run in a decentralized manner, free from the control of a single service provider.
On-chain LLMs
Directly deploys large language models (LLMs) to the on-chain execution environment, enabling AI Agents to achieve semantic understanding and intelligent decision-making based on on-chain data, with verifiable execution processes, while freeing them from dependence on centralized deployments of large models.
Elastic Block Space: Flexible and Scalable Space
Elastic Block Space is inspired by elastic computing, providing dynamically scalable on-chain computing resources to ensure the efficiency and data availability of AI Agents' on-chain execution:
Elastic Computation
Dynamically adjusts computing resources to optimize resource efficiency for AI Agents, providing verifiable predictable performance and gas fees.
Elastic Data Availability
Ensures efficient access to on-chain data and real-time availability, providing stable and reliable data availability support for the operation of AI Agents.
Architecture Design of Artela AI Agents
The Artela network can run Aspect Nodes, a type of heterogeneous computing node, which asynchronously interacts with full nodes. Transactions on L1 are executed not only on EVM but also dispatched to Aspect Nodes for execution, then submitted back to the nodes for transaction merging. Aspect Nodes share security with L1 full nodes. This mechanism is similar to Eigen's AVS: shared security and extended computation. However, the biggest difference from AVS is that Aspect can interact asynchronously with Layer 1, merging transactions.
The unique Aspect architecture allows all components required for AI Agent operation to be placed on-chain:
- AANE: The core native extension module that can run real-time trusted on-chain state synchronization, on-chain event-driven processes, DA, and the on-chain recovery module for AI Agents.
- AI Agents can also run on-chain runtime, including the core Character system, RAG module, and Action system.
- Supports running Ollama-based LLMs within Aspect nodes without relying on centralized large models.
- Allows AI Agents to have state, where the metadata, long-term memory, custodial assets, and decentralized KMS for wallets can exist in the on-chain world state, enabling eternal AI Agents in conjunction with the Recovery module.
The Artela Aspect architecture maximizes the potential of AI Agents through AI x Crypto:
Autonomous Capability:
Verifiable AI Agents/on-chain LLMs
User privacy protection
On-chain autonomy
Trustless interactions
AI Features:
Multi-Agent
Character System
Advanced RAG functionality
AI16Z Eliza compatibility
Crypto Features:
Co-ownership and governance
Tokenization
AI wallet
Fully automated on-chain processes
User strategy customization
Why Artela is the Best Practice for AI Agent Architecture
Compared to Solana and Base, Artela does not require the introduction of off-chain components such as co-processors or auxiliary verification services (AVS), but instead natively supports the on-chain deployment of large language models (LLMs), with on-chain support for key features such as verifiability, privacy protection, interoperability, and user strategy customization, truly realizing fully autonomous on-chain AI Agents. This gives Artela an unparalleled advantage in decentralization and autonomy for AI Agents.
Compared to existing AI Agent infrastructures, Artela provides a full-stack trustless solution, eliminating the need to rely on centralized LLM execution, deployment environments, and client accounts. By fully encapsulating AI Agents in independent sandbox environments on-chain, it ensures that the execution process of each Agent is trustless and verifiable.
Current individualization attempts for on-chain AI Agents still rely on centralized administrators to configure wallet accounts, deploy programs, and run on centralized servers. Artela enables AI Agents to go fully on-chain, executing tasks from start to finish in a decentralized environment, without any centralized entities involved, ensuring the true independence of on-chain AI Agents.
Summary
The "autonomous consciousness" of AI Agents should not be controlled by a single centralized entity, but should grant each AI Agent true independence.
The last missing piece for AI Agents as independent entities is the centralized dependence that hinders their full-process autonomy. The decentralized nature of blockchain provides solutions for the autonomy, privacy protection, and trust issues of AI Agents, while Artela, with its unique technical architecture, makes truly decentralized and fully autonomous AI Agents possible: intention-driven privacy personal transaction assistants, secure gaming assistants participating in on-chain games according to user preferences, fair DAO governance assistants based on community governance proposals, independent conscious entities with social accounts and interactive relationships…….
Artela not only provides AI Agents with an independent on-chain sandbox execution environment but also addresses the core issues in current individualization attempts for AI Agents: full-process independence, trust verification, and resource efficiency.
The last piece of the puzzle for AI Agents as independent entities will eventually be completed, establishing a future of Web3 where AI Agents autonomously "Read, Write, Own."