# Griffin AI Agent Structure

The Griffin AI Agent framework is designed to facilitate the creation and execution of AI Agents through a combination of Agent Tasks and Tools. These components are integral to defining an **Agent** (Program), which represents the actual implementation of an agent instance executed within the Griffin AI physical architecture.

<figure><img src="https://2769623576-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FFvWNxUI7GOzkC4XlKbnb%2Fuploads%2F0viX8zy5JiYZatN48HtC%2Fimage.png?alt=media&#x26;token=ec1a9b29-7973-452d-9493-e10e102b7f7d" alt=""><figcaption><p>Figure 4: Structure of Griffin AI Agent Framework</p></figcaption></figure>

**Tools Framework**

At the core of the AI Agent framework is the Tools Framework, a robust set of instruments grouped by domains and accessible to every AI Agent in real-time. These tools enable AI Agents to interact with the external world, including blockchain ecosystems, enhancing their capability to perform a wide range of tasks from simple computations to complex blockchain interactions. &#x20;

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**AI Crew**&#x20;

For the execution of more complex tasks, AI Agents can be organized into a multi-agent group known as an AI Crew. Within this configuration, agents collaborate to accomplish a defined set of tasks through directed processes. Each AI Crew is designed to operate using "Processes," a platform entity that manages task execution by coordinating agent activities. This setup allows individual agents within the crew to function cohesively, streamlining their efforts to achieve common objectives efficiently.&#x20;

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**Process Execution**&#x20;

The execution of tasks within an AI Crew is managed through processes, which can be visualized as a graph containing four essential components:&#x20;

* Entry Point: The initiation phase of the process.&#x20;
* Agents as Nodes: Each agent involved is represented as a node within the process graph.&#x20;
* Orchestration Logic: Directed edges, including conditional edges, represent the orchestration logic guiding the interactions and sequences of tasks among the agents.&#x20;
* End Point: The conclusion or output phase of the process.&#x20;

<figure><img src="https://2769623576-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FFvWNxUI7GOzkC4XlKbnb%2Fuploads%2F52Yg68lNE9oU82V6IY9L%2Fimage.png?alt=media&#x26;token=3486b1c5-a481-4013-840f-a80d13cdfbdf" alt=""><figcaption></figcaption></figure>

**Process Execution**&#x20;

Processes within the Griffin AI framework can be implemented in several forms to suit different operational needs, as detailed in the table below.&#x20;

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| Name                             | Definition                                                                                                                                                                                                                                                    |
| -------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Sequential**                   | Tasks are executed one after the other, ensuring a systematic completion of tasks.                                                                                                                                                                            |
| **Hierarchical**                 | Tasks are organized in a managerial hierarchy, where delegation and execution follow a structured chain of command. To enable this hierarchical process, a manager Agent  must be specified within the crew, allowing the manager to create and manage tasks. |
| **Consensual Process (Planned)** | This process type aims for collaborative decision-making among agents regarding task execution, introducing a democratic approach to task management within Griffin.AI platform.                                                                              |

Table 9: Types of Process Implementation&#x20;