How to build your own encrypted AI Agent using Eliza framework?

Original title: build your own crypto ai agent – the ultimate beginner-friendly guide

Original author: Suhail Kakar, Crypto Kol

Traduction originale : zhouzhou, BlockBeats

Editors note: This article introduces how to build and deploy an encrypted AI agent, explaining the basic functions of the AI agent, how to choose an AI model, create the agents personality, optimize performance, and how to deploy the agent to the cloud. This process allows you to create your own agent even without programming experience.

Voici le contenu original (pour une lecture et une compréhension plus faciles, le contenu original a été réorganisé) :

If you haven’t been in the limelight, you’ve probably noticed these so-called “AI agents” popping up all over the cryptocurrency space. They’re replying to tweets, making trades, and even launching their own tokens. Crazy, right?

In this guide, we’ll break down what these proxies are, why they’re important, and how you can create one yourself.

What is an AI agent?

Think of AI agents as super-intelligent digital assistants that can independently handle cryptocurrency-related matters. Unlike traditional trading bots that simply follow simple “if this, then that” rules, these agents actually They are able to adapt flexibly and decide for themselves what to do in new situations.

Here are their distinctive features:

They can learn and adapt on the job rather than just follow old rules.

They can understand and respond to people in a natural way, just like chatting with a friend.

They are very good at analyzing large amounts of encrypted data and finding useful information from it.

They are capable of handling complex transactions such as trading and managing crypto asset portfolios.

Want to see how powerful these agents are? Check out the story of Truth Terminal — an almost famous AI agent. This agent’s tweets and community interactions attracted a lot of attention, and eventually helped launch a famous The GOAT token was successfully launched on Solana and reached a staggering market cap of $1 billion. Not bad for a digital assistant, right?

The cool thing about these agents is that they are not just robots following a preset script. They can actually understand what is happening in the market and adjust their strategies based on new information. It’s like having a friend who knows crypto and never Sleep, always looking for opportunities.

AI Agents in Cryptocurrency

Cryptocurrency and AI are like close friends right now. Remember when Zuckerberg said we might have more AI agents than humans? Well, it looks like cryptocurrencies are leading the way. As of now, AI and meme coins have pretty much taken over crypto Twitter — they’re everywhere!

These proxies do a lot of cool things in the crypto space:

Helping people trade better by monitoring market trends 24/7.

Manage a crypto portfolio (without getting sleepy at the wheel).

Spot potential scams before humans do.

Create and share market analysis with real value.

Run automated DeFi strategies that adapt to market conditions.

One of the coolest examples is the AI agent “Aixbt” which has become very popular for its ability to spot market trends before they break out. It’s like an insider friend who always knows about big market moves in advance.

How AI agents work

Okay, let’s talk about it briefly!

Imagine an AI agent like a digital brain consisting of four main parts:

Information Collector

Continuously monitor cryptocurrency prices

Follow the news and drama on Crypto Twitter

Tracking what’s happening on different blockchains

Thinking part

Take all this information and try to make sense of it

Look for patterns (e.g. “Oh, this usually means the price will go up”)

Learn from success and failure

Decision Makers

Make decisions based on all of this thinking

Decide whether to buy, sell, or wait and see

Deciding what to post on social media

Executor

Actually carry out the actions it decides

It could be making a trade, posting a tweet, or sending an alert

How are these agents different from traditional crypto bots? Not only do they learn, they can also adjust their judgment based on market changes. If one strategy doesn’t work, they’ll try another approach — just like you would if you were looking at your current strategy. Its the same as adjusting your strategy when it fails to bring in profits.

How to build your own AI agent

Okay, now onto the exciting part – youre going to learn how to build your own AI agent! Dont worry if youre not a coding whiz, were going to use a tool called Eliza that will make the whole process a lot easier. .

What is Eliza

ai16z eliza is basically your AI agent building kit, think of it as Lego blocks for building AI agents – you get all the components you need, you just put them together. It is an open source framework that handles All the complexities are taken care of, allowing you to focus on making your agent more powerful.

Here are Elizas advantages:

Supports multiple platforms (Discord, Twitter, Telegram, etc.)

Supports different AI models (such as GPT-4, Claude, etc.)

Processing of voice, text and multimedia content

Comes with a built-in memory system (allows your agent to remember conversations)

Easily add custom functionality

Setting up Eliza

OK, it’s time to get started! Here’s everything you need to know to set up Eliza:

1. Prepare your computer

First, make sure you have the following tools installed:

2. Install Eliza

Open your Terminal and run the following command:

3. Set up the configuration file

Rename .env.example to .env and add the following important information:

4. Choose your AI brain

You have a number of options for choosing which AI model to use:

Heurist: Suitable for uncensored answers

Llama: If you want to run locally

Grok: With some unique “x-factor”

OpenAI: Reliable, but likely to be expensive

Claude: A good balance between intelligence and speed

Simply set the model of your choice in your character file (well get to that next!)

5. Create your agent personality

Now for the fun part! Create a new file called myagent.character.json:

6. Start your agent

Ready to revive your agent? Run the following command:

7. Connect to the platform

Want to run your proxy on Discord?

Create a new application in the Discord Developer Portal

Create a robot and get a token

Add it to your server

Put the token in your .env file

Want to make it work on Twitter? Add the following to your .env file:

Pro Tips: How to Optimize Your Proxy

1. Memory Management:

Your agent can remember the conversation

Use the built-in RAG system to provide better context

Clean up old memories regularly

2. Personality Adjustment:

Add more examples to improve the answer quality

Use style configuration to maintain a consistent tone

Regularly update the knowledge base

3. Performance optimization:

Use caching to speed up response

Adjust token limits based on demand

Monitoring resource usage

4. Keep the agent running:

Use pm2 or similar to keep it up and running 24/7

Set up automatic restart after a crash

API usage

Deploy your proxy globally

OK, now that you have the agent running locally, let’s deploy it to the cloud and make sure it’s running 24/7! Here are the steps to deploy an AI agent:

If you just want to go online quickly, you can use the simplest method:

Get a server from a service provider that provides SSH access, copy the agent code to the server, and run the following code:

There is an option using Docker and AWS, you can refer to the Eliza documentation. Remember: start small, then scale up as needed. You can always upgrade your deployment setup as your agent becomes more popular!

Résumer

We’ve covered a lot, from understanding what these encrypted AI agents are all about, to actually building and deploying your own. Isn’t that cool?

What We Learned

AI agents are more than just cool robots — they’re like a smart crypto companion that never sleeps.

They are already making waves in the crypto space.

With tools like Eliza, you can build an agent yourself without even having to be a programming whiz.

Whether you go the simple route or go pro mode, its completely feasible to deploy your agent.

What to do next

If you plan to create your own proxy, here are my recommendations:

Start small: maybe get it running on Discord first.

Try different personalities and features.

Join Elizas Discord community – there are lots of helpful people there who can help you.

Keep an eye on this space—new features and tools are constantly being released.

We are only in the early stages of crypto AI agents, imagine where things will be in 1 or 2 years! Who knows — maybe your agent will become the next crypto Twitter star.

Whatever you decide to build, remember: the best time to start experimenting with AI agents was yesterday. The second best time? Now.

Lien d'origine

This article is sourced from the internet: How to build your own encrypted AI Agent using Eliza framework?

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