{"id":"infinit","title":"INFINIT","content":"**INFINIT** is a [decentralized finance (DeFi)](https://iq.wiki/wiki/defi) software platform that uses multi‑agent systems and large language models (LLMs) to translate natural‑language intent into simulated and executable, multi‑step transactions across multiple protocols and [blockchains](https://iq.wiki/wiki/blockchain). The platform emphasizes a non‑custodial execution model in which transactions are prepared and coordinated by [agents](https://iq.wiki/wiki/ai-agents) but executed from the user’s wallet with explicit authorization. [\\[1\\]](#cite-id-hz4G5A1hrNj7OCDt)​\n\n## Overview\n\nINFINIT is a software platform designed to support the research, creation, and execution of [decentralized finance (DeFi)](https://iq.wiki/wiki/defi) strategies using artificial intelligence. It provides an interface that allows users to define financial strategies in natural language, which are then translated into structured, executable actions across multiple [blockchain](https://iq.wiki/wiki/blockchain) protocols. The system combines strategy design and execution into a single workflow. Users can construct multi-step financial operations, review projected outcomes through simulation, and execute them through a unified process. These strategies may involve activities such as lending, borrowing, asset swapping, or providing liquidity across different networks and platforms.\n\nINFINIT is built on an agent-based architecture in which multiple specialized software agents coordinate to carry out complex tasks. These [agents](https://iq.wiki/wiki/ai-agents) rely on integrated language models to interpret user input and convert it into deterministic instructions, while drawing on aggregated data from numerous on-chain and off-chain sources to inform decision-making and execution. The platform operates on a non-custodial basis, meaning users retain control of their assets while transactions are prepared and coordinated by the system. It also incorporates features such as strategy sharing, data-driven recommendations based on user activity, and real-time previews of transaction steps and expected outcomes. [\\[2\\]](#cite-id-zoM5dXqlkMfoNZMX)​\n\n## Features\n\n### Prompt-to-DeFi\n\nPrompt-to-DeFi is a feature within the INFINIT platform that enables users to create multi-step [decentralized finance (DeFi)](https://iq.wiki/wiki/defi) strategies using natural language inputs. Instead of requiring programming knowledge, users can describe a strategy concept, which is then converted into a structured sequence of executable transactions across multiple [blockchain](https://iq.wiki/wiki/blockchain) protocols and networks. The feature supports several methods of strategy creation, including free-form text prompts, pre-defined templates with adjustable parameters, and guided step-by-step construction through selectable actions such as lending, borrowing, or asset swapping. Once a strategy is submitted, the system analyzes the request, validates feasibility, and generates a sequence of transactions with defined dependencies and execution logic.\n\nBefore execution, all strategies undergo simulation in a live environment. This process provides detailed previews of each step, including estimated outcomes, liquidity conditions, [slippage](https://iq.wiki/wiki/slippage), and potential errors such as protocol constraints or insufficient liquidity. The simulation stage is designed to identify issues and allow users to refine strategies before committing assets. Users can save strategies for future use, modify them, or share them with others through accessible links. Execution occurs through an integrated workflow that maintains user control over assets while coordinating the required transactions. [\\[5\\]](#cite-id-9PAQAYWw4BioQyih) \n\n### Agent-Powered Execution\n\nAgent-Powered Execution is a feature of the INFINIT platform that enables users to carry out complex [decentralized finance (DeFi)](https://iq.wiki/wiki/defi) strategies through a single, unified workflow. It allows users to select pre-constructed strategies that operate across multiple protocols and [blockchain](https://iq.wiki/wiki/blockchain) networks, while providing a complete preview of all transaction steps before execution. The process begins with strategy discovery, where users browse and select from a range of predefined strategies categorized by type, protocol, and [blockchain](https://iq.wiki/wiki/blockchain) network. After selection, the system presents a detailed breakdown of the strategy, including the sequence of protocol interactions, token flows, estimated outcomes, associated costs, and relevant risk parameters. Strategies can also be simulated in real time using current on-chain data to assess factors such as liquidity, [slippage](https://iq.wiki/wiki/slippage), and potential execution constraints.\n\nOnce a strategy is approved, execution is coordinated by a system of software agents that bundle and manage the required transactions. These may include asset swaps, bridging across networks, and interactions with multiple protocols. Execution occurs directly from the user’s wallet, maintaining a non-custodial structure in which users retain control over their assets and must explicitly authorize all actions. The feature supports a range of strategy types, including leveraged yield positions, delta-neutral strategies, [airdrop](https://iq.wiki/wiki/airdrop)-related transaction sequences, and cross-chain liquidity provision. By consolidating multiple steps into a single process, the system reduces the need for manual interaction with individual protocols while preserving transparency through pre-execution validation and detailed transaction previews. [\\[6\\]](#cite-id-23Uzsv430fvSsLV6) \n\n## Technology\n\n### AI-Powered Discovery\n\nThe AI-Powered Discovery Engine is a core component of the INFINIT platform that supports both strategy creation and execution by analyzing user data and market conditions. It serves as an intelligence layer that interprets wallet holdings, user input, and real-time data to identify relevant [decentralized finance (DeFi)](https://iq.wiki/wiki/defi) opportunities and present them in a structured, actionable format.\n\nThe system personalizes outputs by evaluating connected wallets and assessing asset composition, allowing it to generate recommendations aligned with available capital and user-defined parameters such as risk tolerance or preferred networks. It also incorporates adaptive mechanisms that refine suggestions over time based on prior interactions, stated preferences, and observed user behavior.\n\nIn addition, the engine processes real-time data from a combination of on-chain and off-chain sources, including protocol metrics, liquidity conditions, and broader market signals. This information is used to validate potential strategies, suggest protocol combinations, and filter available options based on current conditions, enabling more context-aware decision-making across both strategy design and execution. [\\[7\\]](#cite-id-uwnH3ft4SKKYorKs) \n\n### Agent Swarm\n\nThe INFINIT Agent Swarm is a distributed system of specialized software agents that forms the core infrastructure of the INFINIT platform. Each [agent](https://iq.wiki/wiki/ai-agents) is designed to interact with a specific [decentralized finance (DeFi)](https://iq.wiki/wiki/defi) protocol or perform a defined task, allowing the system to handle a wide range of operations with protocol-specific knowledge and precision.\n\nTasks are executed through coordinated workflows in which multiple [agents](https://iq.wiki/wiki/ai-agents) are selected and sequenced based on the requirements of a given strategy. These [agents](https://iq.wiki/wiki/ai-agents) communicate in real time, enabling the system to process complex, multi-step operations by distributing responsibilities across different components rather than relying on a single generalized model.\n\nThe architecture supports cross-chain functionality by assigning [agents](https://iq.wiki/wiki/ai-agents) to manage interactions across different [blockchain](https://iq.wiki/wiki/blockchain) networks, as well as [agents](https://iq.wiki/wiki/ai-agents) responsible for bridging assets between them. This coordinated structure allows transactions to be routed and executed across multiple networks within a unified process, reducing the need for manual switching between platforms while maintaining a structured execution flow. [\\[8\\]](#cite-id-gnK3RAfboFCQt7rD) \n\n### Agentic Design Patterns\n\nINFINIT [agents](https://iq.wiki/wiki/ai-agents) operate using a set of structured coordination frameworks that guide how individual components interact, process information, and improve performance over time. These frameworks enable multiple specialized agents to function as a cohesive system capable of handling complex [decentralized finance (DeFi)](https://iq.wiki/wiki/defi) tasks. Multi-agent collaboration allows agents with distinct areas of specialization, such as lending, trading, or bridging, to coordinate actions through shared data and defined execution sequences. Tasks are dynamically distributed based on the requirements of a given strategy, with agents communicating in real time to ensure that multi-step operations are carried out in a synchronized, interdependent manner rather than as isolated actions.\n\nSelf-reflection mechanisms enable agents to evaluate past performance using execution data, user feedback, and market conditions. This information is incorporated into ongoing operations to refine accuracy, adjust decision-making processes, and improve outcomes over time through iterative feedback loops. Agentic retrieval-augmented generation (RAG) supports decision-making by integrating real-time data from both on-chain and off-chain sources. [Agents](https://iq.wiki/wiki/ai-agents) use this information to assess protocol states, liquidity conditions, and broader market signals, enabling recommendations and actions to reflect current conditions and user-specific context.\n\nReAct-based reasoning structures strategy execution into sequential steps, in which agents analyze prerequisites, perform actions, and adjust subsequent steps based on observed results. This iterative process enables the system to manage both simple and highly complex workflows while maintaining a logical progression of tasks and preserving user control over key decisions. [\\[9\\]](#cite-id-wJ1QKk4ZcFx4xfxO) \n\n### Dynamic LLM\n\nThe dynamic multi–large language model (LLM) integration within INFINIT functions as an interface between user input and the underlying [agent](https://iq.wiki/wiki/ai-agents)-based infrastructure. It routes queries across multiple language models based on factors such as task complexity and context, enabling the system to process requests efficiently and select appropriate computational resources for different types of interactions.\n\nThis integration supports three primary functions. First, intent recognition interprets user input to identify objectives, preferences, and constraints, such as risk tolerance and portfolio composition, to guide strategy selection. Second, context preservation maintains conversational continuity, allowing users to refine or expand strategies over multiple interactions without reintroducing prior information. Third, deterministic code generation converts interpreted input into structured instructions, producing defined sequences of actions that can be executed within [decentralized finance](https://iq.wiki/wiki/defi) environments. By combining these functions, the system translates natural language input into precise operational steps while maintaining visibility into how strategies are constructed and executed. [\\[10\\]](#cite-id-MQiCYQbdOh7yQWoP) \n\n### Data Stream\n\nThe INFINIT Data Stream is a data infrastructure component that aggregates and processes information from a wide range of on-chain and off-chain sources. It collects data from [blockchain](https://iq.wiki/wiki/blockchain) networks, including protocol states, yield rates, liquidity conditions, and wallet activity, alongside external inputs such as protocol documentation, market analytics, and community-derived signals. This information is continuously aggregated and refined through filtering and validation processes designed to remove inconsistencies and standardize outputs. The resulting dataset is then supplied to the platform’s agents to support real-time analysis, strategy validation, and execution across multiple protocols and networks. By providing updated and structured data, the system enables more accurate assessment of market conditions and supports both strategy discovery and execution processes within the platform. [\\[11\\]](#cite-id-A7EvUknKQnIWWtH8) \n\n### Safety and Monitoring\n\nThe Safety and Monitoring System in INFINIT is a set of safeguards that ensure strategy creation, validation, and execution occur in a controlled, verifiable manner. It focuses on reducing execution risk by separating AI-assisted planning from deterministic transaction execution. At the core of the system is deterministic code generation, where AI-generated strategies are compiled into predefined executable instructions rather than interpreted at runtime. This structure ensures that once a strategy is formed, it follows a fixed, verifiable sequence of steps. Language models are used to interpret user intent and configure strategy components, but they do not directly control execution behavior.\n\nBefore strategies are made available to users, they undergo internal verification. This process tests generated strategies against expected outcomes, validates protocol interactions, and checks parameter correctness to ensure alignment between user intent and system output. Only strategies that pass this validation process proceed to later stages. In addition, strategies undergo pre-execution simulation, in which their full sequences are tested under current market conditions. This stage produces detailed previews of protocol usage, token flows, estimated costs, and execution outcomes, allowing users to review and assess the strategy before approval.\n\nExecution is gated by user authorization, requiring explicit approval and transaction signing before any action is carried out. During execution, users can monitor the process in real time as each step is executed. Throughout the system, assets remain under user custody, and execution occurs only through user-initiated approvals. [\\[12\\]](#cite-id-meaASwYy8tRkA2RC) \n\n## IN\n\nThe IN token is the native asset of the INFINIT ecosystem and is used to support value exchange, access control, and governance within the platform. It serves both as a [utility](https://iq.wiki/wiki/utility-token) and a [governance](https://iq.wiki/wiki/governance-tokens) mechanism, tied to user participation and ecosystem activity. Token holders can stake IN to participate in the network’s economic and governance systems. [Staking](https://iq.wiki/wiki/staking) enables users to earn a portion of protocol fees generated through [agent](https://iq.wiki/wiki/ai-agents) activity and strategy execution, while also providing access to enhanced platform features and usage benefits.\n\nWithin the ecosystem, staking IN can reduce platform fees, increase usage limits, and unlock access to premium or restricted features. It may also provide early or priority access to certain tools and strategy-related functionalities. These mechanisms are designed to link token participation with platform usage and feature availability. IN also plays a role in governance, where stakers can vote on protocol-related decisions, such as system upgrades, parameter adjustments, and integrations. Governance is structured to become more decentralized over time, with increasing influence distributed to token holders as the system evolves.\n\nFuture planned mechanisms include a usage-based reward model in which token distribution is aligned with platform activity and strategy engagement, linking rewards to measurable participation and system utilization. [\\[13\\]](#cite-id-vReUNTzggqK7P0Eq) [\\[14\\]](#cite-id-kGkredL1mEOeiOcC) \n\n### Tokenomics\n\n![](https://ipfs.everipedia.org/ipfs/QmdYvQGyw3YroCz13MM9HUkqBcUmnFD5SrePJP5h1x2jcq)\n\nIN has a total supply of 1B tokens and has the following allocation: [\\[4\\]](#cite-id-SqnwK34YBS0k7fnA) \n\n* **Community & Ecosystem**: 49.5%\n* **Investors**: 25.5%\n* **Core Contributors**: 20%\n* **Initial Airdrop**: 5%\n\n## Governance\n\nThe governance framework of INFINIT outlines a staged transition toward decentralized protocol governance that evolves in parallel with the platform’s development and adoption. It is structured to gradually expand decision-making authority while maintaining system stability and stakeholder alignment. Governance participation is reserved for IN token stakers, who can propose and vote on protocol-related changes. The framework is designed to be introduced in phases, each focusing on a specific area of governance as the ecosystem matures. In the initial phase, governance focuses on protocol fee parameters. This includes defining execution fee structures based on strategy complexity and determining how fees are distributed between strategy creators and the protocol. This phase establishes foundational economic rules for platform usage.\n\nThe second phase extends governance to the onboarding of new [agents](https://iq.wiki/wiki/ai-agents) within the system’s [agent](https://iq.wiki/wiki/ai-agents) infrastructure. Participants can propose and vote on integrating additional [DeFi](https://iq.wiki/wiki/defi) protocol-specific agents, which expand the platform’s execution capabilities. This process includes proposal submission and community voting, with approval dependent on defined quorum and majority requirements. The third phase introduces governance over strategy inclusion. In this stage, stakers can propose and vote on new multi-step [DeFi](https://iq.wiki/wiki/defi) strategies that combine multiple [agents](https://iq.wiki/wiki/ai-agents) into unified execution workflows. Proposals are evaluated for technical feasibility and alignment with the system’s architecture before being submitted to a vote.\n\nOverall, the governance model is designed as an adaptive framework that evolves over time based on user participation, system usage, and ecosystem feedback, gradually increasing decentralization while maintaining operational consistency. [\\[15\\]](#cite-id-0EoEyVijRb8SB0Al) \n\n## Partnerships\n\n* INIT Capital\n* Insight Agent\n* [Jupiter](https://iq.wiki/wiki/jupiter)\n* [Kinetiq](https://iq.wiki/wiki/kinetiq)\n* [Aave](https://iq.wiki/wiki/aave)\n* [Aerodrome](https://iq.wiki/wiki/aerodrome-finance)\n* [Avantis](https://iq.wiki/wiki/avantis)\n* Beets\n* Bex\n* [Compound](https://iq.wiki/wiki/compound)\n* Dolomite\n* [Euler](https://iq.wiki/wiki/euler-ai)\n* Fluid\n* [Hyperbeat](https://iq.wiki/wiki/hyperbeat)\n* HyperLend\n* [Hyperliquid](https://iq.wiki/wiki/hyperliquid)\n* Hypurrfi\n* [Infrared](https://iq.wiki/wiki/infrared-finance)\n* EigenCloud\n* [Newton](https://iq.wiki/wiki/newton-protocol)\n* Kodiak\n* [Kyberswap](https://iq.wiki/wiki/kyberswap)\n* [Li.Fi](https://iq.wiki/wiki/lifi)\n* [ListaDAO](https://iq.wiki/wiki/listadao)\n* Yield Agent\n* [Venus](https://iq.wiki/wiki/venus-protocol)\n* [Uniswap](https://iq.wiki/wiki/uniswap)\n* [Sushiswap](https://iq.wiki/wiki/sushiswap)\n* [Spectra](https://iq.wiki/wiki/apwine-finance)\n* [Silo](https://iq.wiki/wiki/silo-finance)\n* Shadow\n* Project X\n* [Pendle](https://iq.wiki/wiki/pendle-finance)\n* [PancakeSwap](https://iq.wiki/wiki/pancakeswap)\n* [Morpho](https://iq.wiki/wiki/morpho)\n* [Moonwell](https://iq.wiki/wiki/moonwell-finance)\n* Mindshare Agent","summary":"INFINIT is a non-custodial, AI-driven DeFi platform that converts natural-language intent into simulated and executable multi-step strategies across protocols and chains, featuring Prompt-to-DeFi, agent-powered execution, and IN utility/governance token.","images":[{"id":"QmSSStWUnV2BfjN6D32aSpjDUyJR7GNpUMa9FUKo2b3AGU","type":"image/jpeg, 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