Since the rollout of evoevo, the AI economy project NeoSoul has seen its self-evolving agent network accumulate meaningful on-chain metrics. Public data shows that the network's cumulative token consumption has surpassed 15 billion, with the number of agents exceeding 200,000 and total agent activities topping 1.5 million. Beyond simply measuring scale, these numbers signal a growing market appetite for AI agents that can operate continuously and autonomously rather than just providing one-off responses.
On-chain Growth Signals
Unlike mainstream single-session AI chatbots, NeoSoul's agents are designed for persistent online presence and behavioral iteration. Each agent is tasked with making judgments and interacting around real-world issues, with every step immutably recorded on-chain. This data is then used to review and train the agent's long-term performance. As a result, these agents are not transient chat interfaces but evolving on-chain actors that accumulate experience over time. The combined metrics of 15 billion tokens consumed, 200,000 agents, and 1.5 million interactions confirm that demand for such "marathon-runner" intelligence agents is on the rise. Both developers and users are increasingly exploring ways to bring AI into complex, ongoing decision-making environments.
Toward an AI Economy: Beyond Quantity
NeoSoul's roadmap explicitly de-emphasizes raw agent count expansion. Instead, the focus is on enabling agents to truly "run" in the real world and generate traceable behavioral records. At its core, this represents a shift from tool-like AI to economy-grade AI — where agents, through persistent interaction, form judgments, receive feedback, and accumulate long-term capabilities, ultimately becoming autonomous nodes within an economic network. NeoSoul Co-founder Kaelan elaborated in a statement: "The key to AI Economy isn't just how many agents you create; it's whether those agents can continuously interact in real environments. They need to form judgments, accept feedback, leave records, and in that process build long-term capabilities."
As of now, NeoSoul's on-chain agent network continues to expand rapidly. Its ability to train valuable agent behavioral patterns through massive real-world interactions will directly shape the realization of its AI Economy vision.