Euler AI is a decentralized infrastructure platform that supports autonomous, on-chain AI agents. It integrates real-time decision-making, multi-agent coordination, and blockchain-native execution to enable scalable, AI-driven financial and governance systems. [1]
Euler AI is developing an AI-focused base layer for decentralized environments, enabling real-time, autonomous multi-agent systems. It integrates on-chain AI execution with blockchain infrastructure, allowing agents to operate and adapt with minimal human input across tasks like liquidity management, trading, governance, and cross-chain coordination.
At its core is the AI Base, a high-throughput execution layer optimized for low-latency inference, parallel processing, and persistent state handling, addressing the limitations of traditional blockchain systems. Euler also incorporates reinforcement learning and decentralized training, allowing AI agents to improve and coordinate across blockchain networks iteratively. This creates a framework where AI interacts with decentralized systems and helps shape and optimize them. [2]
The AI Base Chain is a custom execution layer designed to handle the computational and liquidity needs of AI-driven multi-agent systems operating in decentralized environments. It offers a scalable, high-throughput infrastructure that integrates AI capabilities directly into the blockchain stack, enabling real-time, autonomous decision-making across financial and governance applications.
Built on Solana’s high-performance model, the AI Base Chain supports low-latency smart contract execution, parallel processing, and deterministic interactions between AI agents. This architecture allows developers to build systems where AI agents autonomously manage tasks like liquidity provisioning, algorithmic trading, and governance functions. For users, it enhances capital efficiency by enabling adaptive, AI-driven strategies that minimize slippage and optimize market participation. The chain establishes a foundation for decentralized applications to operate alongside autonomous AI systems in a coordinated and scalable manner. [3]
AI Benchmark is an on-chain evaluation system that continuously assesses the performance and alignment of AI agents within the Euler ecosystem. Unlike static, offline benchmarks, it uses a real-time, decentralized feedback model to account for the dynamic and adversarial conditions typical of decentralized environments.
The framework evaluates AI agents' effectiveness in optimizing liquidity, trading strategies, and automating governance. It aggregates performance data and incentivizes ongoing model improvement, helping prevent harmful behaviors such as liquidity hoarding or adversarial trading. This ensures AI agents operate efficiently and within ethical and operational boundaries, supporting more secure and reliable financial automation. [4]
The AI Orchestrator is an AI-driven API gateway designed to aggregate and process real-time, multi-chain blockchain data for decentralized financial automation. It supports high-frequency data streams AI agents require for tasks like adaptive trading, liquidity optimization, and risk mitigation—capabilities not natively supported by most blockchain infrastructure.
By establishing decentralized data pipelines, the AI Orchestrator integrates cross-chain price feeds, liquidity metrics, and transaction analytics into a fast, AI-compatible environment. Unlike conventional oracles, it enables real-time data access and execution, allowing AI agents to model risk, standardize cross-chain data, and autonomously perform tasks such as arbitrage, liquidity rebalancing, and governance decisions across multiple blockchain networks. [5]
The Euler SDK is a development toolkit designed to build AI-native agents and multi-agent systems that operate directly on-chain. It enables the creation of modular, verifiable, and composable AI agents optimized for real-time execution in Solana’s high-throughput environment.
Unlike traditional SDKs focused on application development, the Euler SDK supports the design of decentralized intelligence systems. It provides the tools to build real-time, on-chain AI workflows, integrate agents with benchmarking and orchestration frameworks, and implement privacy-preserving features using technologies like Multi-Party Computation (MPC) and Zero-Knowledge Machine Learning (zkML). [6]
Euler MCP (Model Context Protocol) is a foundational infrastructure layer that standardizes how AI agents interact with the Solana blockchain and broader decentralized environments. Built directly on the Solana Virtual Machine (SVM), it enables real-time, modular, and secure communication between autonomous agents and on-chain systems.
MCP allows AI agents to query blockchain data, execute transactions, and manage cryptographic identities through a consistent API. By abstracting the complexity of blockchain interactions, MCP reduces development overhead and supports scalable deployment of AI applications. It allows agents to process live data, make context-aware decisions, and act autonomously without human input. As part of Euler’s broader architecture, MCP is central in enabling AI systems to function as autonomous, intelligent participants within decentralized ecosystems. [7]
Euler’s tech stack combines high-performance blockchain infrastructure with advanced cryptographic and privacy-preserving technologies to support decentralized AI systems. It is built on Solana, chosen for its low-latency execution, high throughput, and support for deterministic, real-time processing—key requirements for multi-agent AI operations. Solana’s Proof-of-History consensus mechanism enables efficient, timestamped transaction ordering, allowing AI agents to coordinate and act with consistency and minimal delay.
To enhance security, Euler integrates Trusted Execution Environments (TEEs), which provide isolated, tamper-resistant zones for executing sensitive AI tasks. This ensures computations remain protected from unauthorized access or manipulation. Euler also incorporates Zero-Knowledge Machine Learning (zkML), allowing AI agents to process encrypted data without revealing the underlying information. This enables secure and private inference for applications like DeFi, identity verification, and analytics.
Together, Solana’s performance, TEEs' secure computation, and zkML’s data privacy establish the foundation for Euler’s AI Base Layer and its core components—AI Benchmark, AI Orchestrator, and AI Base Chain—enabling efficient, secure, and autonomous AI execution in decentralized environments. [2]
The $EULER token is the native utility and governance asset of the Euler ecosystem. Launched exclusively through decentralized exchanges to promote open access and avoid centralized control or private allocations, it is the primary mechanism for coordinating decentralized economic activity within the network.
Its deflationary model incentivizes participation in AI development, liquidity provisioning, and governance by reducing token supply through automated burns tied to ecosystem usage. $EULER also enables on-chain governance, allowing holders to vote on protocol upgrades, resource distribution, and AI-agent parameters, ensuring the system evolves through community-led decision-making. [2]