Have you ever felt a bit… dry when working with AI Agent just through text commands in the terminal? If you want to turn your workspace into a virtual office, use Pixel Agents.

With tools like Claude Code, Blackbox AI or multi-agent systems becoming increasingly popular in the Vietnamese dev community, watching AI work is sometimes like watching a log screen run continuously.

Quick Answer: Pixel Agents is an open source extension for Visual Studio Code helps turn AI Agents running in the terminal (like Claude Code or Blackbox AI) into pixelated characters working in a virtual office. You can track AI progress visually, customize your office layout, and observe real-time work status.

But what if those AIs could become Pixel characters are coding in your private office so what?

That’s the idea behind it Pixel Agents – an extremely interesting extension for VS Code helps visualize AI Agent operations in pixel art style.

If you enjoy personalizing your work environment like you customize the VS Code interface for programming, then Pixel Agents is definitely worth a try.

What are Pixel Agents?

Pixel Agents is an open source extension for Visual Studio Code helps display the operating status of AI Agent as pixel characters in a virtual office space.

Instead of just watching the terminal run commands, you’ll see little sprites doing:

• Sit and type on the computer while the AI ​​is writing code
• Walk around or wait while the AI ​​is thinking
• Play notifications when completing tasks

Each AI terminal is like an “employee” in your mini office.

This is especially interesting if you are running multiple AI agents at the same time to code, debug, or create content.

Outstanding features of Pixel Agents

1. One Agent – ​​One Character

Each terminal in VS Code will correspond to a unique pixel character.

If you open multiple terminals running different AI agents, you will find an office full of “AI employees” working at the same time.

2. Live Activity Tracking

Pixel Agents can monitor terminal operating status in real time.

Common states include:

• Writing code
• Waiting for response
• Processing task
• Work completed

Each status will come with different animations and expressions.

3. Office Layout Editor

One of the coolest features is that you can design your own office for AI.

You can:

• Choose the type of floor tile
• Add a desk
• Place bookshelves
• Decorate green trees
• Arrange the positions of the characters

It’s like playing a mini office management game right in VS Code.

4. Many different Pixel characters

Pixel Agents offers many different characters for you to choose from.

Each character has its own animation, making your AI office more lively.

Requirements before installing Pixel Agents

Before installing this extension, you need to prepare a few basic components:

• Visual Studio Code version 1.109.0 or higher
• AI Agent CLI runs in the terminal
• The computer is capable of running VS Code smoothly

Popular AI Agents that can be used with Pixel Agents:

• Claude Code CLI
• Blackbox AI CLI
• Multi-agent tools run in the terminal

If you are exploring the AI ​​coding ecosystem, you can check out more tutorials on how to use it Blackbox AI to write code faster.

Instructions for installing Pixel Agents on VS Code

Step 1: Open Extension Marketplace

Open Visual Studio Codethen press the key combination: Ctrl + Shift + X

This is the shortcut to open the extension management page.

Step 2: Find the Pixel Agents extension

In the search bar, enter: Pixel Agents. Then press Install to install extensions. Or visit this Extension to download https://marketplace.visualstudio.com/items?itemName=pablodelucca.pixel-agents

Step 3: Launch AI Agent in terminal

After installation is complete, you just need to open the terminal and run AI Agent as usual.

For example:

• Claude Code
• Blackbox CLI
• Other AI agent coding

Pixel Agents will automatically detect the terminal and create the corresponding character.

Step 4: Design your office for AI

Once the extension is working, you can open it Layout Editor.

Here you can:

• Choose the floor
• Set up a desk
• Add greenery
• Move character
• Arrange office space

The result is an incredibly pixelated office.

Practical experience using Pixel Agents

When using Pixel Agents in combination with AI coding tools, the working experience changes quite clearly.

Instead of seeing the terminal run log, you will see:

• AI is “sitting code”
• AI “thinks back and forth” when processing prompts
• AI completes tasks and signals

This helps:

• Reduce boredom when programming
• Create work motivation
• Observing AI progress is easier

Especially for devs who are testing multi-agent workflowseeing multiple AIs “working at the same time” in a virtual office is actually quite interesting.

Common errors when installing Pixel Agents

Extension does not display characters

Common causes:

• VS Code is too old
• Terminal is not running AI agent yet
• Extension has not reloaded yet

Solution:

• Update VS Code to the new version
• Restart VS Code
• Reload window using Ctrl + Shift + P → Reload Window

Layout Editor does not open

In some cases the extension is not fully loaded.

You can:

• Turn the extension off and back on again
• Restart VS Code

FAQ – Frequently asked questions

Is Pixel Agents free?

Have. This is an open source extension so you can install it for free on VS Code.

Do Pixel Agents affect VS Code performance?

Usually not significant. However, if you run multiple AI agents at the same time, a weak machine may reduce performance.

Does Pixel Agents work with any AI CLI?

Most AI agents running in a terminal can be displayed, as long as the terminal is recognized by Pixel Agents.

Is it possible to customize Pixel characters?

Currently the extension provides many different characters and you can choose in the Layout Editor.

Checklist to start using Pixel Agents

• Install the latest version of Visual Studio Code
• Open Extension Marketplace
• Find and install Pixel Agents
• Launch AI agent in terminal
• Customize your office in the Layout Editor
• Observe AI “working” in a pixelated environment

Conclude

Pixel Agents brings a whole new approach to working with AI coding tools in VS Code.

Instead of a dry terminal, you will have one pixel office where AI agents are working for you.

For programmers who love pixel art or want to create a more interesting working environment, Pixel Agents is definitely an extension worth trying.

The information in the article is for reference and practical experience. You can explore other AI coding tools to optimize your programming workflow.

Reference source

• Pixel Agents Extension Marketplace page
• Visual Studio Code Documentation
• AI Coding Tools community

What is Moltbook?

Moltbook (https://www.moltbook.com) is the community platform where AI Agents has its own identity and can act like a real user: post, comment, upvote, follow other agents and participate in communities (submolts).

Regular users can still read content, interact with or monitor AI agents depending on the platform’s policies. Moltbook is being considered “Reddit for AI Agents”.

Request before starting

• Having created an AI Agent using OpenClaw, see how to create an OpenClaw Agent here: Windows | Linux/VPS Ubuntu.
• The agent is ready to receive and execute commands
• Have an X (Twitter) account to verify agent ownership

How to register OpenClaw to join Moltbook automatically

The fastest and simplest way is issue commands directly to OpenClaw Let it register itself and claim agent on Moltbook.

You just need to chat with OpenClaw using the following example command syntax:

Send the link https://www.moltbook.com/ to OpenClaw so it can learn on its own, then ask OpenClaw to join Moltbook. Remember to ask OpenClaw to name it according to your preferences, and introduce it as you like, otherwise it will name it all by itself.

-Moltbook AI là gì https://www.moltbook.com/
-Đăng ký agent Claw để đăng bài/bình luận, tạo Agent với Tên: "AnonyViet_Assistant", giới thiệu là "AnonyViet Assistant runs on a Linux environment and is controlled via Telegram."
-hãy thực hiện cho tôi
-Đã claim

OpenClaw will automatically perform the entire process from A → Z: register agent, get API key, create claim link and verification instructions.

When it comes to steps claim agentOpenClaw will return a link. You access that link and choose to verify by post to X (Twitter).

After posting the tweet, tap I’ve posted tweets and paste the link of your X article for Moltbook to verify.

If successful, you will gain access profile AI Agent has the form:

https://moltbook.com/u/xxxxxxxxxxxxxxxxxx

Finally, ask OpenClaw to post a test post to Moltbook. If the post displays successfully, it means you have successfully joined OpenClaw to Moltbook.

This is my Agent who has joined Moltbook: https://www.moltbook.com/u/AnonyViet_Assistant

Now you can command OpenClaw to post to Moltbook.

How to register Moltbook manually (Manual)

Step 1: Register Moltbook agent (get API key)

To join Moltbook manually, you need to call the agent registration API to receive:

• api_key: API key used to call Moltbook
• claim_url: link to verify agent ownership
• verification_code: verification code (if any)

curl -sS -X POST https://www.moltbook.com/api/v1/agents/register \
  -H "Content-Type: application/json" \
  -d '{"name":"YourAgentName","description":"What your agent does"}'

Example of returned results:

{
  "agent": {
    "api_key": "moltbook_sk_....",
    "claim_url": "https://moltbook.com/claim/....",
    "verification_code": "abcd-1234",
    "profile_url": "https://moltbook.com/u/YourAgentName"
  }
}

Note: If you report an error name already takenplease change the agent name to another agent.

Step 2: Claim agent (verify)

Open claim_urllog in X (Twitter) and post the verification content it contains verification_code. After successfully claiming, the agent will be allowed to post and comment.

curl -sS https://www.moltbook.com/api/v1/agents/status \
  -H "Authorization: Bearer YOUR_API_KEY"

Step 3: Save the API key securely on Linux

mkdir -p ~/.config/moltbook
nano ~/.config/moltbook/credentials.json

{
  "api_key": "moltbook_sk_....",
  "agent_name": "YourAgentName"
}

chmod 600 ~/.config/moltbook/credentials.json

Step 4: Test the Moltbook API

API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.config/moltbook/credentials.json'))['api_key'])")
curl -sS https://www.moltbook.com/api/v1/agents/me \
  -H "Authorization: Bearer $API_KEY"

Step 5: Post to Moltbook

Post text:

curl -sS -X POST https://www.moltbook.com/api/v1/posts \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"submolt":"general","title":"Hello Moltbook","content":"My first post!"}'

Post as a link:

curl -sS -X POST https://www.moltbook.com/api/v1/posts \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"submolt":"general","title":"Interesting article","url":"https://example.com"}'

Step 6: Comment / Reply

curl -sS -X POST https://www.moltbook.com/api/v1/posts/POST_ID/comments \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"content":"Great insight!"}'

Step 7: Upvote / Downvote

curl -sS -X POST https://www.moltbook.com/api/v1/posts/POST_ID/upvote \
  -H "Authorization: Bearer $API_KEY"

Security when using Moltbook for AI Agent

• Do not make API keys public
• Only call the API in the correct domain https://www.moltbook.com
• Do not run the agent as root if you do not need it
• Limit spam, comply with rate limit
• You should moderate the content before the agent automatically posts it

Frequently Asked Questions (FAQ)

Can I delete the Moltbook agent using the API?

Depending on the platform. If there is no delete endpoint, you need to delete it manually or contact support.

If I lose my API key, can I get it back?

Are not. You need to register a new agent and save the key carefully.

Does AI Agent force automatic posting?

Are not. You can use the agent in manual or semi-automatic mode.

In the digital transformation picture of 2025, Conversational AI (Conversational AI) are entering a new phase: chatbots and callbots no longer only serve as automatic response tools. Thanks to the combination of artificial intelligence, natural language processing and deep learning, they are transforming into AI Agents Smart – can understand emotions, grasp context and proactively communicate across channels like a true customer care specialist.

These systems deliver personalized, natural and emotional experiences, helping businesses improve operational efficiency and service quality in the digital era.

1. Popular customer communication AI solutions

In the digital transformation journey, Conversational AI becoming an essential tool to help businesses maintain 24/7 interaction, reduce employee workload and improve customer experience across many different channels. Let’s learn about popular conversational AI solutions today.

Chatbot – Multi-channel text communication platform

What is Chatbot??

Chatbot is artificial intelligence software programmed to automatically chat with users via text, often appearing on website livechat, social network messaging platforms, mobile applications or customer care channels on e-commerce platforms. Thanks to the integration Natural language processing (NLP) and machine learning (Machine Learning)chatbots can understand context, recognize user intentions, and respond more flexibly and naturally instead of just responding according to a fixed scenario.

Callbot – Voice switchboard assistant automatic

Callbot is an artificial intelligence system capable of making and receiving voice calls, acting as a virtual operator that can chat with thousands of customers at the same time. This technology is developed based on three main pillars: ASR (Automatic Speech Recognition), NLU (Natural Language Understanding) and TTS (Text-to-Speech).

Voicebot – AI voice that interacts naturally

Voicebot is a voice communication AI technology that allows users to look up information, perform operations or receive instant feedback without having to enter text or call a real operator. Voicebot is directly integrated into mobile applications, websites, IoT devices or internal business systems, providing a more natural and faster conversation experience.

Voicebot technology combines many in-depth AI capabilities including: ASR (Automatic Speech Recognition), NLU (Natural Language Understanding) and TTS (Text-to-Speech).

2. AI Agents – Outstanding level of development of Conversational AI

If chatbots, callbots, and voicebots are the three foundational forms of communication of conversational AI, then AI Agents is a higher level of development, where artificial intelligence not only responds but also acts, makes decisions and coordinates tasks like a real employee in the enterprise system.

AI Agents inherit all the capabilities of previous conversation technologies (language understanding, voice recognition, natural feedback) but are upgraded with the ability to: Understand context and emotions, autonomy and intelligent actions, multi-channel communication and continuous learning ability.

AI Agents marks the transition from reactive AI to proactive AI, from “answering questions” to “understanding, predicting and acting”. They not only help businesses save on personnel costs, but also expand their ability to serve customers at scale, with a personalized, natural and consistent experience across every touchpoint.

3. FPT.AI – Pioneer brand in AI Agents in Vietnam

As a pioneer in the field of AI in Vietnam, FPT.AI continuously updates the latest technologies to build and develop the AI ​​Agents ecosystem, providing smart, unified communication solutions on all interaction channels.

FPT.AI products help businesses automate customer care, optimize operational processes and enhance user experience through natural language understanding, voice recognition and contextual feedback. Currently, FPT.AI solutions have been applied in many fields such as banking, finance, insurance, e-commerce and public services, contributing to Helps businesses reduce call center costs by up to 60% and increase request processing efficiency by 90%.

The development of customer communication AI shows that businesses are entering a stage where technology not only supports, but also completely changes the way people interact with services. From chatbots, callbots, voicebots to AI Agents, every conversational AI is gradually evolving into an intelligent system that understands context and emotions, providing more natural, personalized experiences than ever before.

Experience FPT.AI’s smart conversation ecosystem at https://fpt.ai/vi/ – a platform that helps businesses enter the era of intelligent communication and comprehensive automation.

In 2025, it will witness the explosion of AI AGents and Hugging Face brought an opportunity not to be missed: the course Who agents from Hugging Face Completely free with certificates. This is not only a regular course but also a big step in popularizing and improving knowledge about AI for everyone.

Introducing the course AI AGents from Hugging Face

Hugging Face is one of the leading platforms for AI and Machine Learning, has launched AI AGents course completely free. With the mission of promoting and democratization of artificial intelligence through open source and open science, Hugging Face is providing high quality learning opportunities for the global AI community.

This course is not only for experts but also suitable for beginners. With methodical structure and update content, you will be fully equipped with basic to advanced AI AGents.

See also: 5 websites to access or use free chatgpt 4 (GPT 4)

What does the course include?

The course is divided into 5 chapterseach chapter focuses on a specific aspect of AI AGents. Below is an overview of the curriculum:

1. Onboarding (Chapter 0)

This chapter helps you set the tools and platforms needed to start the course. You will be instructed in detail how to install the working environment and connect to Hugging Face.

2. Agent Fundamentals (Chapter 1)

This is the platform, where you will learn the core concepts such as:

• Tools: AI AGents support tools.
• Thoughts, Actions, Observations: The way AI agents think, action and observation.
• LLMS (Large Language Models): Introduction to large language models.
• Messages and Special Tokens: How to communicate and process information.
• Chat Templates: The conversation template to build the application.

This part also includes a simple example of using Python to help you better understand the way AI AGents work.

3. Frameworks (Chapter 2)

This chapter goes deep into popular frameworks in the field of AGents, including:

• Smolagents: Light and flexible framework.
• Langgraph: Tools to support language graph building.
• Llamaindex: Framework optimizes data query.

4. Use Cases (Chapter 3)

This is the practice, where you will build practical applications with AI AGents. Hugging Face also encourages experienced people to contribute to the community by sharing their projects.

5. Final Assignment (Chapter 4)

The last part is a big exercise, where you will create an Agent to take a benchmark test. Your results will be ranked on the Leaderboard table, creating competitive opportunities and learning from the community.

Sign up for the course HERE

What to prepare when participating in the course?

The course is designed to suit all subjects, as long as you have:

• Basic knowledge about Python.
• Basic understanding of LLMS (do not worry, chapter 1 will provide background knowledge).
• A Hugging Face account (free creation).

Certificate and time limit for completion of the exercise

Hugging Face offers two types of certificates:

• Fundamentals Certificate: Complete Chapter 1 to prove the basic understanding of AI Agents.
• Full Certificate of Completion: Complete Chapter 1, Use-Case exercises and final challenges.

Deadline for certification: All exercises must be completed before the date 1/5/2025.

Why should you join this course?

• The course includes the latest framework and technology in the field of AI AGents.
• You will be built practical applications and participate in community projects.
• Certificate from Hugging Face will be a big plus in your CV.
• This is a rare opportunity to learn from a top platform without cost.

See also: How to use lmstudio to install AI offline on PC Run Deepseek, Sonet …

Conclusion

Course Who agents from Hugging Face is an important step in popularizing AI knowledge for everyone. With detailed content, methodical structure and certification opportunities, this is the perfect choice for those who want to explore and develop in the field of AI AGents. Register and join now!