AI agents set to enhance Bitcoin through Merlin Chain and ElizaOS
Merlin Chain has announced a strategic partnership with ElizaOS to integrate AI agents into its Bitcoin (CRYPTO:BTC) layer 2 network.
This collaboration aims to enable the deployment of AI agents capable of facilitating cross-chain activities, enhancing asset discovery, and streamlining transactions.
According to the announcement, developers will utilise ElizaOS’s multi-agent simulation technology to create more effective AI agents on the Merlin Chain.
These AI agents will be able to issue bitcoin-native assets and initiate transactions seamlessly across both the Merlin and Bitcoin networks.
The integration is expected to leverage Merlin Chain’s open-source architecture and deep liquidity, fostering innovation within the Bitcoin finance ecosystem.
Over the past ten months, Merlin Chain has reportedly facilitated over $24 billion in cross-chain bitcoin assets while maintaining a total liquidity pool of $46.5 million across various decentralised exchanges.
A recent report by Franklin Templeton highlights the potential of AI agents to significantly impact the crypto ecosystem due to their combination of technical innovation and market influence.
The findings suggest that AI agents could play a vital role in transforming how transactions are executed in the cryptocurrency space.
ElizaOS's framework allows developers to create multifunctional AI agents that can automatically perform transactions, governance tasks, and analysis within decentralised networks.
Shaw, the founder of Eliza, emphasised that the focus is not solely on autonomy but on establishing social agents as a new application layer.
“If we have agents sending links to verify credit cards and addresses, we can complete the entire order process on Twitter,” he stated.
At the time of reporting, the Bitcoin (BTC) price was $100,984.
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
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