AgentLayer stands out as the world's first AI Agent-oriented public chain, designed to facilitate collaboration services and incentivize interactions among AI agents. Utilizing a mature OP Stack and integrating EigenDA for Ethereum consensus and security, it establishes a crucial infrastructure for multi-agent system interactions. With a focus on consensus, behavior validation, and interoperability among agents, AgentLayer not only enhances communication but also optimizes interactions through incentive mechanisms.
The Innovation of the AgentLayer Protocol and Integration Strategy with EigenDA
From a blockchain architecture standpoint, public chains can be dissected into data layers, settlement layers, execution layers, and consensus layers, among other modules. Undoubtedly, Ethereum plays a pivotal role in the Layer 2 ecosystem's development by providing crucial functionalities such as settlement and security consensus. Starting from early 2024, modular blockchains built on Cosmos have gained traction in the market, simplifying the complexities of building Layer 2 and applications, thereby gradually encroaching on Ethereum's interests. However, with protocols like EigenLayer's re-staking surfacing, Ethereum's counteraction has begun. EigenLayer introduces the concept of Restaking to address the need for security in real-world scenarios such as oracles, DeFi, and DA, especially when project funds are insufficient to establish proprietary verification nodes. This innovation marks the beginning of Ethereum's substantive counteraction. EigenLayer's Restaking concept fills a crucial gap in scenarios where projects require security but lack sufficient funds to establish proprietary verification nodes.EigenDA, as a core submodule of EigenLayer, not only excels in handling data availability (DA) throughput but also seamlessly integrates with other modules of EigenLayer, complementing Ethereum's integration. Naturally, it becomes the preferred technical solution for AgentLayer as an L2 Agent public chain. Agent public chains not only facilitate communication, task completion, and incentive sharing among smart contracts but also enhance the capabilities of individual AI smart contracts through collaboration, thereby improving efficiency in addressing diverse challenges collectively and laying a solid foundation for the future driven by AI smart contracts.Additionally, EigenLayer, serving as a validation network with 850,000 independent operators collaborating, plays a central role in expanding the AgentLayer protocol to multiple chains. It allows Ethereum stakers to redistribute their staked tokens to support various services, including but not limited to data availability layers, cross-chain bridges, and oracle networks, among other decentralized applications (dApps) built on the Ethereum network. In the AgentLayer protocol, EigenLayer's AVS applications require unique distributed validation semantics for verification. Therefore, we have utilized the EigenLayer AVS protocol to build the Agent AVS system to ensure that the operation of large language models on AgentLayer maintains a high level of decentralization and security.
The Core Role and Economic Incentive Mechanism of EigenLayer in the AgentLayer Ecosystem
In the AgentLayer protocol, the transfer of $AGENT tokens involves triggering AVS contract logs, operators fetching the latest nonce and status from other chains, sending the signature result to the aggregator, and when receiving a sufficient number of signatures above the threshold, the aggregator returns the verification result to the Agent AVS, which then calls the token contract's update function to update the latest state and nonce.To synchronize the $AGENT token balance of an address in real-time, an active synchronization function call needs to be initiated, and then the Agent AVS system will complete the final synchronization of the balance and nonce. Through the innovative re-staking mechanism of EigenLayer, not only can various applications including Agent AVS be improved in terms of economics and security frameworks, but it also creates novel forms of income for EigenLayer operators participating in the $AGENT ecosystem.In the AgentLayer protocol, the process of transferring $AGENT tokens is accompanied by triggering AVS contract logs, operators fetching the latest nonce and status information from other chains, sending the signature result to the aggregator, when a sufficient number of valid signatures are collected, the aggregator returns the verification result to Agent AVS, which then calls the token contract's update function to update the latest state and nonce.To synchronize the $AGENT token balance of an address in real-time, an active synchronization function call can be initiated to complete the synchronization process of the balance and nonce. The Agent AVS system plays a crucial bridging role in this process. With the innovative re-staking mechanism of EigenLayer, not only has the economic and security framework of various applications, including Agent AVS, been improved, but also new forms of income for EigenLayer operators participating in the $AGENT ecosystem have been created.
The fundamental reason AgentLayer chooses to integrate EigenDA is its ability to balance efficient data availability and significantly enhance the overall performance and security of the AgentNetwork. This decision enables AgentLayer to better serve the execution environment of autonomous AI agents and provide a high level of decentralized protection for LLM operations throughout. By relying on the three trust models proposed by EigenLayer (economic trust, decentralized trust, and Ethereum-inclusive trust), AgentLayer further solidifies its leadership position in building a trustworthy, scalable, and self-sustaining economic cycle in the artificial intelligence network world.
OP Stack: The Swiss Army Knife of AgentLayer
AgentChain, as a public blockchain, strengthens coordination and cooperation among agents through the AgentLink protocol, enabling agents to easily engage in activities such as contract signing and transaction recording. The inclusion of Agent OP Sequencer significantly enhances the efficiency of the entire agent cooperation network. Through the innovative AgentLink protocol, AgentLayer can facilitate information exchange, task execution, and incentive sharing among multiple agents, not only improving the performance of individual AI agents but also collectively addressing diverse challenges through collective intelligence, laying a solid architectural foundation for a future dominated by AI agents.OP Stack, as a complete toolbox, supports Optimism and other Rollup implementations, providing key components such as sequencers, nodes, contracts, etc., which can be independently applied to different scaling implementation plans. In the default configuration, OP Stack relies on Ethereum to ensure data availability by storing L2 transaction batches on Ethereum to guarantee security. Although this setup ensures a secure and reliable L2 chain, it also has certain limitations.In response to these limitations, AgentLayer chose to integrate EigenDA to optimize the OP Stack Sequencer. Specific improvements include:
- DA Write Update: Adjustments to the Op-batcher service change the way L2 transaction data is submitted to data availability (DA). Op-batcher disperses Optimism data frames to EigenDA and waits for confirmation and the generation of BlobInfo objects. If EigenDA successfully disperses the data, Op-batcher writes the BlobInfo object into Ethereum calldata instead of the original data frame. If EigenDA disperses fail, Op-batcher falls back to writing the original Optimism data frame into Ethereum calldata.
- DA Read Update: Upgrades to the Op-node service change the method of retrieving L2 transaction data from data availability (DA). In the L2 derivation process, the logic of the Op-node service is adjusted to identify whether BlobInfo objects exist in calldata, which indicates the successful dispersal by EigenDA. If there is a BlobInfo object, the Op-node service extracts data from EigenDA; otherwise, it follows the conventional path to derive data from the data frame. In the future, support for advanced features of EigenDA, such as using a threshold selection method for data retrieval, is expected to be added.
AgentLayer ingeniously integrates OP Stack technology and EigenDA to construct AgentChain, a pioneering public blockchain tailored for the seamless collaboration of autonomous AI agents. Through the AgentLink protocol, AgentChain facilitates effortless contract signing, transaction recording, and coordination among agents, while the inclusion of the Agent OP Sequencer significantly boosts network efficiency. This innovative framework not only enhances individual AI agent performance but also collectively addresses diverse challenges, laying a solid foundation for a future driven by AI agents.
By opting to integrate EigenDA to optimize OP Stack Sequencer performance, AgentLayer effectively bolsters data processing efficiency and security through the mentioned DA write and read update mechanisms, while also ensuring interface support for future advanced EigenDA functionalities.
Looking ahead, amidst the continuous advancement of LLM technology and the maturation of the ecosystem, we anticipate AI agents assuming increasingly pivotal roles across various professional domains such as law, medicine, finance, and beyond. They will assist experts in efficiently navigating complex tasks, thereby enhancing industry-wide efficiency and quality. Furthermore, with the ongoing accumulation and refinement of user data feedback mechanisms, the intelligence level and user experience of AI agents will continue to ascend.
About AgentLayer
AgentLayer, as the first decentralized AI Agent public chain, promotes Agent economy and AI asset transactions on the L2 blockchain by introducing the token $AGENT, and its AgentLink protocol supports multi-Agent information exchange and collaboration to achieve decentralized AI governance.
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