# AI Agent Framework

<figure><img src="https://2441233119-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FvmnfCRQ8UojJaQvzV0ij%2Fuploads%2FofwXowQCUrBpksTkNmND%2Fframework%20agent.png?alt=media&#x26;token=cf049868-1cd0-4d6e-8f23-d85d1700cc9d" alt=""><figcaption><p>Figure 1. The Multi-modal Multi-Agent Prediction Framework</p></figcaption></figure>

### AI Agent Framework Explanation

This framework showcases how our AI agents work together, with human oversight, to manage all aspects of our Memecoin Investment Fund. Each agent has a specialized role, ensuring a seamless, data-driven, and efficient operation.&#x20;

This is a system where specialized LLM-based agents analyze various forms of financial data, such as textual news reports, and technical indicators. A key component is the reflection module, which evaluates historical trading signals and outcomes to enhance future decision-making capabilities.

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Academic Research Paper - University of Illinois at Chicago
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A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist
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### Here’s how it works:

1. **On-Chain Analysis Agent**

* **Purpose:** Tracks wallet activity, token deployments, and liquidity events.
* **Functionality:** This agent monitors blockchain activity in real-time to identify opportunities, such as new token launches or whale movements.
* **Output:** Insights are fed into the Trading Agent to make informed decisions.

2. **Off-Chain Analysis Agent**

* **Purpose:** Tracks off-chain trends and sentiment from platforms like X (Twitter), Discord, and TikTok.
* **Functionality:** Monitors discussions, social media trends, and community sentiment to generate actionable signals.
* **Output:** Signals are passed to the Trading Agent to align trades with market momentum.

3. **Trading Agent**

* **Purpose:** Executes trades and manages the fund’s portfolio on decentralized exchanges (DEXs), like Solana’s DEXs.
* **Functionality:** Combines on-chain and off-chain data to execute precise, high-frequency trades while mitigating risks.
* **Output:** Manages assets dynamically to maximize returns.

4. **Investor Relation Agent**

* **Purpose:** Handles communication with investors and provides performance reporting.
* **Functionality:** Serves as a real-time touchpoint for investors to access fund performance, updates, and key metrics.
* **Output:** Keeps investors informed and engaged, reinforcing transparency and trust.

5. **Management Agent**

* **Purpose:** Oversees and optimizes the entire system.
* **Functionality:** Ensures all agents function cohesively, fine-tuning strategies, and addressing operational challenges in collaboration with human oversight.
* **Output:** A continuously optimized system that balances performance and risk.

**Human Oversight**

While AI agents handle the heavy lifting, humans remain integral to the system:

* **Decision Validation:** Key decisions are reviewed and approved by experts.
* **Strategic Adjustments:** Humans adapt strategies based on market changes and investor feedback.

### Why This Matters

This AI-powered framework allows us to:

1. Automate complex processes for faster decision-making.
2. Leverage real-time data for superior investment strategies.
3. Maintain transparency and reliability for our investor community.

This system combines cutting-edge technology with human expertise to deliver the best results.
