What happens when AI agents get their own collaboration network?

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Summary

Explores the future of AI agents collaborating in networks, referencing projects like AnvitaFlow and Moltbook, and raises questions about trust and marketplaces for agent services.

We’ve been talking about AI agents for a while, but most conversations still focus on them as individual tools, something that can answer questions, write emails, summarize information, or automate small tasks. But what happens when agents stop working alone and start having their own ecosystem? You simply tell your agent the goal, and it assembles the right capabilities to get the job done. Some projects are already exploring this direction. For example, AnvitaFlow is experimenting with an on-chain Agent collaboration network, where different agents can discover each other, call specific capabilities, and work together on more complex tasks. Platforms like Moltbook are also exploring how agents might interact and form communities. But this also raises some interesting questions. If agents become capable of finding and using other agents automatically, will we eventually have an “AI economy” where specialized skills become services? Would we eventually see a marketplace where agents compete based on their skills, reputation, accuracy, and cost? At the same time, there are still many unanswered questions: How do we trust an agent we’ve never interacted with before? Who is responsible when an autonomous agent makes a bad decision? We’re probably still early. From a workflow perspective, but the shift from “AI as a tool” to “AI as a network of collaborators” lead to a completely different path of development? Curious what people here think.
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