Agents

Agents are a key characteristic of Armor Wallet. Each of our agent types helps you better manage and trade in a complex and fast paced crypto world.

Portfolio Agent

Trading Agent

Research Agent

What is an AI Agent?

Unlike traditional programs, AI agents possess the autonomy to make decisions and take actions without human intervention based on their programming, learning, and the data they process. These agents can range from simple, rule-based systems to complex, learning-driven entities that adapt and optimize their behavior over time.

Distinction from Conversational AI

AI agents differ from conversational AI or chatbots primarily in their scope and functionality. While conversational AI focuses on simulating human-like conversations, often within a narrow domain of knowledge, AI agents are designed to perform a broader range of complex and multi-step tasks. This distinction underscores the versatility and potential of AI agents to impact various sectors significantly. AI agents are pivotal elements of the future AI economy. They will enable the automation of complex, dynamic tasks that require real-time analysis, decision-making, and adaptability, which isn't quite the scope of conversation chatbots. Although intelligent agent-based systems might still have conversational interfaces to take human goals, get feedback from humans, and share results and outcomes with humans.

Basci Agent Architecture

Armor Agents

Armor wallet is built around the concept of agents. Agents are AI-based tools that users interact with and task various different actions. Whether it's a trade, research, or managing your current investments. There are three types of agents in Armor Wallet, the first is the trading agent which operates similarly to a trading bot but more autonomously and with much more intelligence. Second, we have the portfolio agent, the role of the portfolio agent is to protect and manage your assets. The third and final agent is a research agent that goes out and hunts the market, understands what's happening, finds new gems, and digs into market sentiment.

The agents work in concert with one another to provide a full suite of investment tools. The research agent is constantly analyzing the market using the requirements you have given it to hunt. It also shares with the other agents providing them with market inputs to better the choices they make. Similarly, the trading bot works with the portfolio to buy and sell assets in and out of the portfolio. The role of the trading agent is to make the best trade and the role of the portfolio agent is to protect the assets under management from loss. All of the agents interact with and learn from the user through discussion and guidance the user provides. All of the agents are learning from you all the time.

When the agents are used together they provide a complete suite of investment tools for users to leverage and become faster, more informed, more profitable, and safer.

The emergence of AI agents will mark a significant milestone in the evolution of artificial intelligence, it will unlock the possibilities of autonomous AI systems and novel use cases across various domains. This introductory section aims to lay a foundation by defining AI agents, their importance, and their distinction from conversational AI and chatbots, and setting the stage for a deeper exploration of agent behavior.