Developers

Developers are the cornerstone of the MxAgent network, driving innovation and growth through their contributions. They are responsible for building and deploying AI Agents, which are the fundamental units of functionality within the network. By leveraging the open-source nature of these agents, developers can integrate advanced AI capabilities into their decentralized applications (dapps), enhancing the network's utility and user experience.

The process of creating an AI Agent is facilitated by MxAgent's open-source development framework, which provides the tools and guidelines necessary for high-quality agent development. Once an AI Agent is crafted and rigorously tested, developers can publish it on MxAgent's decentralized network, making it available for use by anyone within the ecosystem.

Developers also play a crucial role as users of AI Agents. By creating an API key and adding AGENT to their billing balance, they can utilize existing AI Agents to build or improve their dapps. This symbiotic relationship between creating and using AI Agents not only fosters a vibrant community of innovators but also ensures a steady stream of improvements and updates to the network's offerings.

In recognition of their pivotal role, developers are remunerated for their usage through a fee structure that is fair and transparent. The Usage Fees paid in AGENT are distributed among network participants, incentivizing ongoing participation and contribution. Moreover, the burning of 1% of these Usage Fees serves as a deflationary mechanism, promoting a healthy token economy within the MxAgent network.

Building AI Agents

Developers embarking on the journey of creating AI Agents are supported by MxAgent's comprehensive open-source development framework. This framework is designed to streamline the development process, providing a suite of tools, libraries, and documentation that guide developers through the creation of robust and efficient AI Agents.

Step 1: Familiarization with the FrameworkDevelopers begin by familiarizing themselves with the framework's capabilities and the range of resources available. This includes understanding the core components, the programming languages supported, and the best practices for AI Agent development.

Step 2: Setting Up the Development EnvironmentOnce acquainted with the framework, developers set up their local development environment. This involves installing necessary software, configuring development tools, and setting up version control systems to manage their codebase.

Step 3: Designing the AI AgentWith the environment ready, developers proceed to design their AI Agent. This phase involves defining the agent's functionality, its interaction interfaces, and the data it will process. Developers also consider the agent's scalability, security, and integration with other network components.

Step 4: Coding and DevelopmentDevelopers then start coding the AI Agent, utilizing the libraries and APIs provided by the framework. They write the logic that will enable the agent to perform its intended tasks, adhering to the coding standards and architectural patterns recommended by MxAgent.

Step 5: Testing and Quality AssuranceBefore publishing, the AI Agent undergoes rigorous testing to ensure it meets quality standards. Developers use the testing tools included in the framework to identify and fix bugs, optimize performance, and validate the agent's functionality against its design specifications.

Step 6: DocumentationComprehensive documentation is created alongside the development process. This documentation serves as a guide for other developers who may use or contribute to the AI Agent and is essential for maintaining the agent's usability and longevity within the network.

Step 7: Publishing the AI AgentAfter thorough testing and documentation, the AI Agent is ready to be published on MxAgent's decentralized network. Developers follow the publishing guidelines provided by the framework to deploy their agent, making it accessible to the network's participants.By following these steps and leveraging the open-source development framework, developers can efficiently build AI Agents that contribute to the diversity and capability of the MxAgent network.

Publishing and Using AI Agents

Publishing AI Agents

Once developers have completed the development and testing of their AI Agent, the next step is to publish it on the MxAgent's decentralized network. The publishing process is designed to be straightforward and transparent, ensuring that new AI Agents can be easily accessed and utilized by the network participants.

1. Finalizing the Agent: Before publishing, developers must ensure that their AI Agent is fully functional, well-documented, and adheres to the network's standards.

2. Deployment: Developers use the MxAgent Studio, the network's interface for publishing, to deploy their AI Agent. This involves uploading the agent's code and setting up its configuration for network interaction.

3. Verification: The network may perform a series of verifications to ensure the AI Agent meets quality and security standards.

4. Listing: Once verified, the AI Agent is listed on the network, making it discoverable for all users. Developers can provide additional information, such as usage instructions and support details.

Using Existing AI Agents

Developers and other network participants can also use AI Agents that have already been published on the MxAgent network. This process encourages the reuse and leveraging of existing AI capabilities within the community.

1. Discovering Agents: Users can browse the network to find AI Agents that suit their needs, using search and filter tools provided by MxAgent Studio.

2. API Key: To use an AI Agent, developers must create an API key which serves as an identifier and access token for the network's services.

3. Adding AGENT: Users add AGENT tokens to their billing balance, which will be used to pay for the Usage Fees associated with the AI Agent.

4. Integration: With the API key and AGENT tokens in place, developers can integrate the AI Agent into their dapps, utilizing its functionality as needed.

5. Fee Payment and Distribution: Usage Fees are paid in AGENT tokens and are distributed to network participants, including the original developers of the AI Agent, based on their contributions to the protocol.

6. Burning Mechanism: To ensure a balanced token economy, 1% of the Usage Fees paid to the network are burned, reducing the overall supply of AGENT tokens.

Fee Structure and Distribution

The MxAgent network operates on a fee structure that is designed to be transparent and equitable for all participants, particularly developers who play a pivotal role in creating and using AI Agents. When developers use AI Agents within their decentralized applications, they incur Usage Fees that are paid in the network's native token, AGENT.

Usage Fees

Usage Fees are determined based on the amount of computational resources consumed by the AI Agent and the value it provides to the dapp. These fees are paid for each instance of AI Agent usage, ensuring that developers only pay for what they use.

Distribution of Fees

The collected Usage Fees are then distributed among network participants, including the original developers of the AI Agents, node operators, and other contributors. This distribution is calculated based on predefined contribution metrics that reflect each participant's role and involvement in the network. It incentivizes ongoing development, maintenance, and operation of AI Agents, fostering a sustainable ecosystem.

Burning Mechanism

To maintain a healthy token economy within the MxAgent network, 1% of the Usage Fees paid to the network are burned. This burn acts as a deflationary mechanism, reducing the total supply of AGENT tokens over time. The significance of this burn lies in its ability to potentially increase the value of remaining AGENT tokens by decreasing supply, assuming demand remains constant or increases. It also serves as a tool for network governance, ensuring that the token's value is aligned with the network's growth and usage.