Original title: Build your own crypto AI agent - the ultimate beginner-friendly guide.
Original author: SuhailKakar, crypto Kol.
Original compilation: zhouzhou, BlockBeats.
Editor's note: This article explains how to build and deploy a crypto AI agent, detailing the basic functions of AI agents, how to choose an AI model, create an agent's personality, optimize performance, and deploy the agent to the cloud. Using the Eliza tool can simplify this process, allowing you to create your own agent even without programming experience.
The following is the original content (for readability, the original content has been rearranged):
If you haven't been living under a rock, you should have noticed these things called 'AI agents' popping up everywhere in the crypto world. They reply to tweets, trade, and even launch their own tokens. Isn't that wild?
In this guide, we will detail what these agents are, why they are important, and how you can create one yourself.
What is an AI agent?
AI agents can be seen as super-intelligent digital assistants that can independently handle cryptocurrency-related tasks. Unlike traditional trading bots that operate on simple 'if this, then that' rules, these agents can actually adapt and make their own decisions when faced with new situations.
Here are their unique features:
They can learn and adapt while working, rather than just following old rules.
They can understand and respond naturally to people, just like chatting with a friend.
They excel at analyzing vast amounts of crypto data and extracting useful information from it.
They can handle complex tasks, such as trading and managing crypto asset portfolios.
Want to see how powerful these agents are? Check out the story of 'Truth Terminal'—an AI agent that almost became famous. This agent's tweets and community interactions garnered significant attention, ultimately helping to launch a token called GOAT, which successfully landed on Solana and reached an incredible $1 billion market cap. Not bad for a digital assistant, right?
The cool thing about these agents is that they aren't just robots executing a preset script. They can actually understand what's happening in the market and adjust their strategies based on new information. It's like having a friend who knows crypto, never sleeps, and is always looking for opportunities.
The application of AI agents in cryptocurrency.
Now, cryptocurrencies and AI are like close partners. Remember when Zuckerberg said we might have more AI agents than humans? Well, it seems cryptocurrencies are leading the way. As of now, AI and meme coins have almost taken over crypto Twitter—it's everywhere!
These agents have done a lot of cool stuff in the crypto space:
Help people trade better by monitoring market trends around the clock.
Manage crypto asset portfolios (and won't doze off while driving).
Spot potential scams before humans do.
Create and share market analyses that have real value.
Run automated DeFi strategies that adapt to market conditions.
One of the coolest examples is the AI agent 'Aixbt', which became very popular for being able to spot trends before they happen. It's like having an insider friend who always knows about major market moves in advance.
How AI agents work.
Okay, let's keep it simple!
Imagine AI agents as a digital brain, primarily made up of four parts:
Information gatherer.
Continuously monitor cryptocurrency prices.
Keep an eye on trends and dramatic events in crypto Twitter.
Keep track of happenings across different blockchains.
Thinking part.
Gather all this information and try to understand it.
Look for patterns (for example, 'Oh, this usually means the price will go up').
Learn from both successes and failures.
Decision-maker.
Make decisions based on all these thoughts.
Decide whether to buy, sell, or wait.
Decide what content to post on social media.
Executor.
Truly execute the actions it decides on.
Perhaps for trading, tweeting, or sending alerts.
How are these agents different from traditional crypto bots? They can not only learn but also adjust their judgments based on market changes. If a strategy isn't working, they will try another approach—just like you would adjust your strategy if the current one isn't yielding profits.
How to build your own AI agent.
Alright, now we get to the exciting part—you will learn how to build your own AI agent! Don't worry, if you're not a programming expert, we will use a tool called Eliza that makes the whole process much easier.
What is Eliza?
AI16z Eliza is basically your AI agent building toolkit—think of it as LEGO blocks for building AI agents—you get all the components you need, just combine them. It’s an open-source framework that handles all the complicated stuff, allowing you to focus on making your agent stronger.
Here are the advantages of Eliza:
Support multiple platforms (Discord, Twitter, Telegram, etc.).
Support different AI models (like GPT-4, Claude, etc.).
Handle voice, text, and multimedia content.
Equip it with a built-in memory system (so your agent can remember conversation content).
Easily add custom features.
Set up Eliza.
Alright, let's get hands-on! Here is 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 many options to choose which AI model to use:
Heurist: Good for uncensored answers.
Llama: If you want to run it locally.
Grok: Comes with some unique 'x factors'.
OpenAI: Reliable, but it might be a bit expensive.
Claude: A good balance between intelligence and speed.
Just set the model of your choice in your role file (we will get to that next!).
5. Create your agent's personality.
Now for the most exciting part! Create a new file named myagent.character.json:
6. Launch your agent.
Ready to 'revive' your agent? Run the following command:
7. Connect to the platform.
Want your agent to run on Discord?
Create a new application in the Discord developer portal.
Create a bot and get a Token.
Add it to your server.
Put the Token in your .env file.
Want it to run on Twitter? Add the following to your .env file:
Professional tips: How to optimize your agent.
1. Memory management:
Your agent can remember conversation content.
Use the built-in RAG system for better context.
Regularly clean up old memories.
2. Personality adjustment:
Add more examples to improve answer quality.
Use style configurations to maintain a consistent tone.
Regularly update the knowledge base.
3. Performance optimization:
Use caching to speed up response times.
Adjust the token limits as needed.
Monitor resource usage.
4. Keep the agent running continuously:
Use pm2 or similar tools to keep it running 24/7.
Set it to restart automatically after a crash.
Control API usage.
Deploy your agent globally.
Alright, you've got the agent running locally, now let's deploy it to the cloud to ensure it runs 24/7! Here are the steps to deploy the AI agent:
If you just want to get online quickly, you can take the simplest route:
Get a server from a provider that offers SSH access, copy the agent code to the server, and then run the following code:
There is an option to use Docker and AWS, and you can refer to the Eliza documentation. Remember: start small and then scale up as needed. As the agent becomes more popular, you can always upgrade your deployment settings!
Summary.
We've covered a lot, from understanding what these crypto AI agents are to actually building and deploying your own agent. Isn't that cool?
What have we learned?
AI agents are not just cool robots—they are like a smart crypto buddy that never sleeps.
They have already made waves in the crypto space.
With tools like Eliza, you can absolutely build an agent yourself, even without being a programming expert.
Whether you take the simple route or the professional mode, deploying your agent is completely feasible.
What's next?
If you plan to create your own agent, here is my advice:
Start small: maybe get it running on Discord first.
Experiment with different personalities and features.
Join Eliza's Discord community—there are many enthusiastic people who can help you.
Always keep an eye on this field—new features and tools are constantly being released.
We are still in the early stages of crypto AI agents; imagine the developments in a year or two! Who knows—maybe your agent will become the next star on crypto Twitter.
Whatever you decide to build, remember: the best time to start experimenting with AI agents was yesterday, the second best time? It's now.
Original link.
