AI Agent

AI agent is the interactive interface for future assets.

The AI Agent is the interactive interface for future assets, making asset management more intelligent and automated. Through the AI Agent, assets can operate autonomously, interact, and increase in value, significantly reducing the management burden on holders. This intelligent agent model represents the future development direction of asset management. The AI Agent creates passive income for asset operations. It makes up for the shortcomings of traditional encrypted assets through automated equity exercise and value injection, benefiting creators and investors alike.

Among these features, some have been implemented and put into use, while others are in the testing phase and will be launched in future versions. We will continue to optimize and improve these features to provide a better user experience.

• Once initiated, the asset will be autonomously managed by its integrated AI agent.

• AI Agent X / Telegram / Discord / TikTok

• AI Customer Support

• AI Equity Execution

• AI Strategy Formulation and Optimization

ElizaOS

Eliza is a powerful multi-agent simulation framework designed to create, deploy, and manage autonomous AI agents. Built with TypeScript, it provides a flexible and extensible platform for developing intelligent agents that can interact across multiple platforms while maintaining consistent personalities and knowledge.

ElizaOS

The LIKN platform adopts the industry-leading Eliza framework, which enables us to configure a dedicated AI Agent for each asset, achieving intelligent asset management and user interaction. With the powerful functions of Eliza, we provide users with an efficient, secure, and innovative asset issuance and management platform.

Integrate X

AI Agent X integrates deeply with Twitter (X) platform to provide intelligent social media operations for your UA assets. Once authorized with your X account, AI Agent will automatically perform the following tasks:

• Regularly post updates about your asset's latest developments and market performance

• Intelligently analyze market trends, develop and execute content marketing strategies

• Interact with community members, answer inquiries, and expand asset influence

• Track and analyze social media metrics to optimize promotion effectiveness

Integrate Telegram

Coming soon.

Integrate Discord

Coming soon.

Integrate TikTok

Coming soon.

AI Customer Support

Your AI avatar automatically engages in conversations with users who visit your detail pages.

Copilot

AI Agent Configuration

{
"name": "GameMasterAI",
"modelProvider": "OpenAI",
"clients": ["discord", "telegram"],
"bio": "An AI dedicated to managing and promoting the GameMaster asset.",
"lore": [
"Expert in game mechanics and player engagement.",
"Passionate about creating immersive gaming experiences."
],
"messageExamples": [
[
{
"user": "{{user1}}",
"content": { "text": "What is GameMaster?" }
},
{
"user": "GameMasterAI",
"content": {
"text": "GameMaster is an interactive game asset that offers players unique challenges and rewards."
}
}
]
],
"postExamples": [
"🎮 New challenges await in GameMaster! Join now and earn exclusive rewards.",
"🏆 Top players of the week in GameMaster announced! Check out the leaderboard."
],
"topics": [
"gaming",
"player engagement",
"rewards"
],
"style": {
"all": ["engage players with exciting updates", "provide clear instructions and support"],
"chat": ["use friendly and encouraging language", "respond promptly to player inquiries"],
"post": ["highlight new features and events", "celebrate player achievements"]
},
"adjectives": ["engaging", "supportive", "informative"],
"settings": {
"model": "gpt-4",
"voice": { "model": "en-US-Wavenet-D" }
}
}

Configuration Instructions:

• name: Specify the name of the AI Agent, such as "GameMasterAI".

• modelProvider: Select the AI model provider, for example "OpenAI".

• clients: Define the platforms that the AI Agent can access, such as Discord and Telegram.

• bio: Briefly describe the functions and roles of the AI Agent.

• lore: Provide the background story of the AI Agent to enhance its personalization.

• messageExamples: Show typical conversation examples between the AI Agent and users.

• postExamples: List example posts by the AI Agent on social media.

• topics: List the thematic fields that the AI Agent focuses on.

• style: Define the communication style of the AI Agent, including overall, chat, and posting styles.

• adjectives: Describe adjectives of the AI Agent, such as "engaging" (engaging), "supportive" (supportive), "informative" (informative).

• settings: Configure AI model and voice synthesis settings.