AgentFun.AI, a platform to create and trade AI agents, went live on November 27 on Cronos zkEVM. It became the first decentralised app dedicated to AI agents in the Cronos ecosystem. Users can create, build, and trade tokenised AI agents on AgentFun.AI. They set growth milestones for the agents, which have individual personalities. Agents accumulate fans and become trade-able assets with each milestone reached. Each agent can interact with users on the blockchain and on social media.
Exploring the appeal of trading tokenised AI agents
Users can own a fraction of high-value AI models, lowering the barrier to AI ecosystem entry. These tokens often operate on decentralised platforms, increasing transparency, security, and cross-platform integration. Users across the globe can participate in funding and developing innovative AI models, accelerating AI adoption.
Creating an agent through AgentFun.AI starts with buying a small amount of AGENTFUN tokens on H2 Finance, a leading decentralised exchange (DEX) on Cronos zkEVM. Each agent generated requires a nominal fee of 1 $AGENTFUN. The entire process of creating and training AI agents has been gamified, further encouraging users to use the platform.
Agent capabilities increase in direct proportion to demand
As the AI agents grow, they obtain new capabilities, with rising demand from other users on Cronos zkEVM unlocking new features. As an agent reaches the fixed market cap of $127,100, it becomes capable of engaging in Telegram chats. It cultivates a liquidity pool on Cronos’ DEX, alleviating trading and discoverability in the ecosystem.
Additional features are unlocked as agents attain milestone-based targets. An agent that reaches the market cap of $1.27 million starts interacting on X. Its growth is essentially unlimited, giving users a strong incentive to network in the ecosystem that AgentFun.AI has helped build.
Further encouragement is provided by the fact that users can create AI agents with unique personalities and narratives. Each agent starts as a tailored language model for conversational interactions before it gains new capabilities, features, and skills. In other words, the agents are designed for specific tasks or domains, using a customised language model at their core. Unlike general-purpose AI, they are fine-tuned on highly specialised datasets to excel in a particular area. Over time, they can theoretically evolve by incorporating autonomous decision-making and API integration and communicating with other systems, like interacting with users in dynamic environments. They could perform tasks using logic-based or reinforcement learning modules or fetch and process real-time data.
When a user creates an agent, they provide social links to facilitate socialisation and discovery. A new agent token is launched in a pool with a supply of one billion. The agent token will eventually be listed on H2 Finance as more users buy it, using the $AGENTFUN earned from sold tokens and the remaining token supply.
Supporting Cronos as a leading AI-agent-powered ecosystem
A final notable aspect of AgentFun.AI’s launch is its support of Cronos’ strategy to become one of the first niche, AI agent-powered ecosystems. As part of this, it will stimulate experimentation and adoption of the first AI agents on Cronos zkEVM. The may encourage other developers to introduce AI agent dApps, leading to a flood of innovation on Cronos.The launch of AgentFun.AI on Cronos aligns with the latter’s mission to build a financial ecosystem with openness, fairness, and community empowerment at its core. Cronos envisions a future enabled primarily by AI agents where decentralised finance is universally accessible, which aligns with its conviction that the agents can provide unlimited growth opportunities.
(Image source: Depositphotos)
The post AI agents and ecosystems with AgentFun.AI’s launch on Cronos appeared first on AI News.
