Lagent: AI agent-driven lending platform


Author: Kyle

Review: outprog

Source: Content Guild - News


Originally published on: PermaDAO

Original link: https://permadao.com/Lagent-AI-479ef1735eeb4a66bebfede97d1d78a5

The AO mainnet is about to be launched, and it has attracted more than 600 million US dollars of stETH and DAI bridge assets, and has also returned a large amount of wAR assets to participate in the minting of $AO. At the same time, with the help of the AOX cross-chain bridge and many token launch tools, the AO ecosystem has introduced the stablecoin wUSDC, and emerging assets are also being launched continuously. Therefore, the current situation is that there are a large number of idle assets in the AO ecosystem, and liquidity has not been fully released.

In line with the trend of the times, we are about to usher in a new lending platform, Lagent, which will fill the gap in the AO ecosystem's DeFi three-piece set and further improve capital utilization.

Lagent: A lending platform powered by AI agents

Relying on the AO architecture, Lagnet will be built into an AgentFi application that is completely decentralized and autonomous. Users only need to set the lending rules, and the AI agent can automatically execute them, including loan processing, decision optimization and risk management.

On the Lagnet platform, users will experience a completely different approach from traditional lending platforms such as Aave and Compound. We no longer need to be forced to abide by the rules set by the platform. Instead, we will have a more relaxed lending environment where intelligent AI agents can run automatically and be adjusted at any time. Lagnet is equivalent to providing us with an exclusive personal financial assistant to easily manage idle assets.

Lagent Core Features

  • Full control over assets: Users can create their own agents to fully manage the lending and use of assets.
  • Intelligent Automation: The lending process is fully automated by AI agents to optimize returns and effectively control risks.
  • Decentralized and trustless: The platform runs on Arweave and AO, without the need for intermediaries, and enables secure peer-to-peer lending between agents.
  • Earn interest based on custom rules: Agents lend assets according to user-set rules to flexibly maximize returns.

How to use Lagent?

The Lagent product has not been officially launched yet, so we cannot experience it in depth for the time being. However, according to public information, the steps to use Lagent are very simple, and generally include the following three steps:

Step 1: Create a lending agent

First, you need to create your own Lagent lending agent. This is a decentralized, automated smart agent that helps you manage your assets.

Step 2: Configure rule terms

Next, you need to personalize Lagent. Give it a name, set its personality and expertise, and make it provide services based on your specific needs. It's like customizing a way for your smart financial assistant to work and make it understand you better.

Step 3: Service and Execution

Once the setup is complete, you can start running Lagent Lending Agent. It will automatically handle transactions according to your instructions, such as borrowing or maximizing the return of managed assets, and work completely exclusively for you without you having to do it yourself.

Summarize

The implementation of Lagent has, on the one hand, activated the vitality of ecological finance through lending services. Users can not only deposit assets such as stETH, DAI, wAR, continue to mint AO tokens, but also earn lending interest. Users can also lend assets and participate in various financial activities within the ecosystem. On the other hand, Lagent is combined with AI Agent as an AgnetFi application to explore the next generation of financial tools.

In short, Lagent not only brings together scattered assets, but also connects scattered individuals through financial agents. We look forward to the product being launched as soon as possible to bring a brand new lending experience!

Lagent Twitter: https://x.com/Lagent_AO