Agentic Design Patterns

INFINIT Intelligence is built on agentic design principles that enable intelligent actions through a network of specialized DeFi agents that reason, retrieve, and act autonomously. Here’s how each component works:

Multi-Agent Collaboration

Each agent within INFINIT Intelligence is designed for a specialized role such as lending, swapping, yield discovery, and more. These agents work together in a coordinated workflow, passing information and building on each other's outputs. This ensures more accurate, efficient, and comprehensive responses.

Self-Reflection

INFINIT Intelligence continuously improves through structured self-evaluation. It reviews past interactions using memory from chat history, retrieves external data using tools, and assesses its own outputs through feedback loops. This iterative process allows the system to refine its responses, avoid repeated mistakes, and adapt to user preferences over time.

Agentic Retrieval-Augmented Generation (RAG)

Agents retrieve information from both on-chain and off-chain data sources via the INFINIT Data Stream. The real-time data retrieval enables INFINIT to produce accurate and context-aware answers.

ReAct Agent (Reasoning + Acting)

This agent combines reasoning with action in a step-by-step process to solve user requests. It leverages tools and data sources to provide personalized, goal-oriented DeFi strategy suggestions personalized to each user’s unique context.