20 AI Agent Platforms and Marketplaces Transforming Business Forever

A Guide on Platforms That Help Build Agentic AI

The Agentic AI Work Situation

We have all heard that AI agents are going to transform the workplace.

Some companies have even stopped hiring developers as a result, anticipating that automation will enable the work for them. (source)

These have led some to conclude that the effect of AI agents will be felt in every job, not just entry-level ones. (source)

Many other companies are laying off tech workers wholesale, with Microsoft and Meta laying off 10,000 tech workers each. (source)

What can technology workers do, in this sort of an environment?

Answer:

Specialize in AI Agents.

Skill up on the technology that every company wants to use!

AI Agents - A Quick Overview

Traditional AI required humans to guide them at every step.

These AIs are now being replaced with AI agents, which require very little human intervention.

AI Agents have the following behavior.

• They are computational entities residing within a digital environment.

• They observe the world around them through APIs, database queries, user interface interactions, network traffic, or even log files.

• They act on that information provided by writing data to a database, sending API requests, modifying website content, triggering system processes, or displaying information to a user.

• They are mostly built with LLMs as a backend that provides them with additional intelligence and cognition features.

They have certain characteristics that separate them from traditional AI - a quick recap:

• Autonomy:

• A software AI agent operates without constant, direct human programming during runtime.

• It can make decisions and take actions based on its internal reasoning and goals within its digital environment

• Reactivity:

• Reactivity is the agent's ability to sense these changes through its digital sensors and react on time.

• This responsiveness is crucial for agents to adapt to evolving digital landscapes and maintain effectiveness.

• Proactiveness with Goals:

• Intelligent software agents are not just reactive; they are proactive.

• They take the initiative to achieve their defined goals within the digital environment.

• Social Ability or Communication:

• Social ability refers to an agent's capacity to communicate, cooperate, and potentially negotiate with other digital entities.

• This is crucial for complex software systems where multiple agents collaborate to achieve larger goals.

• Learning:

• A key aspect of intelligent software agents is their ability to learn from digital data and experience.

• Learning agents can improve their performance over time by analyzing past interactions within their digital environment.

• Adaptability:

• Adaptability is the ability of a software agent to modify its behavior in response to changes in the digital environment.

• This goes beyond simple reactivity and involves more profound adjustments to the agent's strategies and knowledge.

• Rationality:

• Rationality means making the best possible decision given the available digital information and computational resources.

• A rational agent will weigh different digital actions and choose the one most likely to lead to success in its software domain.

#Building Software AI Agents

Agentic design is not always trivial.

You need to:

1. Define the purpose clearly.

2. Choose the algorithm and agent architecture that you will use.

3. Design the agent using Python/Java/C++ or agent-specific languages.

4. Choose the backend LLM that you are going to use (Google Gemini is recommended for budget, speed and performance)

5. Integrate the API’s that you are going to use and

6. Test the effectiveness of the agent in a controlled environment and optimize your algorithms

7. Incorporate learning and adaptability using scikit-learn, TensorFlow, PyTorch, or JAX.

8. Deploy and monitor your AI agent while preparing for failures and adjusting for errors.

This is a complex, time-consuming process.

However, what if I told you that coding is not the only way?

What if there were no-code or low-code tools that greatly simplify agent creation?

Well - these tools and platforms do exist!

And there is more.

Not only do tools exist that simplify AI agent creation, but there are AI agent marketplaces that allow you to buy high-performing agents with cash/crypto and use them with full freedom for your use case.

And use cases exist everywhere.

AI agents can be used in almost every situation that a human being could be utilize, digitally.

The list of use cases is too long to include in this article.

Bill Gates was asked which careers would survive the AI supremacy.

His answer?

1. Software Developers & AI Engineers

2. Energy Sector Professionals

3. Life Sciences Expert and Biologists

(source)

I think he’s being too generous.

I think only AI Engineers will survive, seeing that Software Developers any rung below senior level are being replaced already!

So now we (finally) come to the real meat of this article.

Here are 20 AI Agent Platforms and Marketplaces that you can use to:

• Build, deploy, and sell your AI agents to others

• Use AI agents for your business needs

I warn you that buying AI agents is available only on a subset of this list, not every platform listed has this feature.

However, every platform listed below will help you build AI agents, and some allow you to use no-code or low-code solutions!

A Comprehensive List of 20 AI Agent Platforms & Marketplaces

All images below are screenshots of the respective websites taken in the dark mode of the web browser.

1. Fetch.AI

• Fetch.ai is a decentralized blockchain-based AI agent system that is designed for ease-of-use for building AI agents

• They offer an easy-to-use interface to help users build AI agents easily

• They offer many agentic services like AI assistants and even an Agentverse for testing and deploying agents

• They use LLMs to help users find the AI agents they need and a marketplace to monetize AI agents.

2. Agentic AI

• Agentic AI offers a versatile platform for developing intelligent agents that can be used to test games ‘almost infinitely’.

• Its modular architecture allows businesses to customize agents for testing games with high throughput.

• Again, there is an interface for create agents with a simple interface.

• The platform is built for testing game development but can be used for many other purposes.

3. Tars

• Tars is an award-winning agentic chatbot development service that has greatly simplified customer service.

• The website even provides several templates for one to create chatbot agents easily.

• The platform has templates for banking, finance, healthcare, government and more.

• This platform promises intuitive conversations and integrates with many social media and productivity apps like WhatsApp and Trello.

4. ChatGPT GPT Builder

• This is so much more than a simple agentic marketplace but I couldn’t omit it.

• ChatGPT GPT marketplace for paying subscribers is perhaps the gold standard of automating agentic workflows.

• Also, using OpenAI’s groundbreaking LLMs as the foundation results in very accurate conversations and results.

• Finally, there is a feature to monetize custom GPTs that you can create and others can use by buying in some cases.

5. Conwai.net

• Conwai is a comprehensive product that covers all stages of the AI lifecycle.

• Built for sophisticated users, it allows you to create autonomous agents that are very powerful.

• Used mostly by Generative AI experts, it has features like RAG, fine-tuning and inference.

• This is a perfect example of autonomous agents built on top of LLMs.

6. Botify.cloud

• Botify.cloud is an emerging platform, included here for its emphasis on no-code tools.

• It has agents for automating crypto trading, social media management, and custom use cases.

• It offers a built-in marketplace where AI agents can be traded and monetized.

• It is built on the Solana blockchain and has its own token.

Read more about Botify.cloud’s AI Crypto Trading here:

The Role of AI Based Modern Cryptocurrency Trading | Botify Updates

7. AI4Finance

• AI4Finance is a unique platform that hosts several significant open-source projects and tools.

• The projects include FinGPT, a GPT-based model for financial trading, and FinRobot, an Agent Platform for financial applications

• They also have datasets and mature tools like FinNLP for financial data and FinML for automated trading.

• While designed for advanced users with deep skillsets, it definitely finds a place in this listing.

• And being open source, it is completely free!

8. AutoGen

• AutoGen is Microsoft’s open-source framework for creating custom AI agents.

• AutoGen is versatile, powerful, open-source, free, and integrates with Microsoft’s paid platforms, like Azure.

• It is a standard tool for sophisticated agent creation with complex workflows.

• While it has no easy-to-use interface, it takes a place of honor on this list.

9. CrewAI

• CrewAI allows you to create multiple agents for common use-cases with an easy-to-use interface as well as with coding in Python.

• There are many templates, and each is heavily customizable.

• It is highly useful for multi-agent workflows.

• CrewAI is integrated with all major tools and LLM platforms available today.

10. AI Agents Directory

• AI Agents Directory is a highly innovative platform that allows creation and monetization of AI agents.

• As the name suggests, it is a directory of highly useful Agentic AIs that can be utilized in business In a number of ways.

• The AI Agents are free, freemium, and even paid, so it has a marketplace where you can make money from your AI agents.

• Finally, the scope of this platform is very broad and covers a very wide range of industries.

11. Virtuals Protocol

• Virtuals Protocol is a platform that allows you to create, co-own and sell AI agents.

• You can also buy AI agents created by other users and use them for your needs.

• The platform is flexible and a large number of use cases exist.

• It is built on blockchain technology and has its own token.

12. Pionex

• Pionex is a remarkably low-cost platform for creating crypto trading bots.

• It offers a no-code platform and reusable templates for this purpose.

• There are a wide variety of templates available, and they can be customized easily.

• However, advanced traders will not find the depth of customization that they need for ML techniques.

13. IBM WatsonX

• IBM WatsonX allows developers to create AI solutions and employ MLOps in production.

• Many steps are simplified and there is a simpler building interface for many use cases, especially healthcare.

• However, for best results, programming language knowledge is a must for this platform.

• On the positive side, highly advanced models can be deployed into production into the cloud.

14. SoundHound Houndify

• This platform allows you to create voice-based AI Agents that can be used for customer care worldwide.

• There is an easy-to-use interface for AI chatbots that can be created with ease.

• Developers will also feel at home on this platform.

• Edge deployment is also supported by this platform.

15. Replit

• Replit is an example of the power of AI agents when used for almost any coding task.

• For a fixed fee, Replit’s AI agents can create apps and software for users of all levels of technical expertise.

• It supports a wide variety of languages and platforms.

• It is a glimpse of the future of programming, and platforms like Replit are the reason I feel that junior software developers can be replaced.

16. DarkTrace

• Darktrace provides powerful protection from cybersecurity threats like ransomware.

• It uses AI agents to identify anomalies and suspicious activity on client networks.

• It also acts as an all-in-one solution to security for companies.

• However, costs could be prohibitive for some.

17. Khanmigo (Khan Academy)

• Khan Academy has long been one of my favorite companies for the free education it provides worldwide.

• Now they have created Khanmigo, an AI agent for helping both students and teachers.

• AI Agents have shown great promise in tutoring and education, especially for the financially challenged sectors.

• Now Khan Academy is making their educator agent available for very low prices.

18. Copy.ai

• Copy.ai is a well-known tool for content creation for copywriters.

• This platform is also an example of AI agents doing work far quicker than humans.

• It is also the reason that I believe that even writers will be replaced by sufficiently advanced AI.

• This tool has been adopted by a large number of companies worldwide.

19. LangChain Hub

• LangChain Hub is a very developer and prompt engineer-focused platform, yet I put it here because of its strategic importance.

• LangChain is a framework for building LLM-powered applications, such as AI agents.

• The Hub is a free collection of reusable prompts, templates, chains, and other Generative AI components.

• While it is not an AI agent in itself, it is a powerful tool for building AI agents, hence the inclusion.

20. HuggingFace Transformers App Market

• Finally, no discussion of AI agents would be complete without the foundational platform hosting over 400,000 AI apps.

• These apps are part of an open-source ecosystem that is rendering a great service to the world by making everything free.

• This AI app market has changed the very fabric of reality for generative AI apps.

• Its ecosystem consists of all types of applications, and it is only going to grow virally in the future.

Conclusion: Welcome to the Future

Python is easy enough to learn.

But to survive, I strongly recommend that all developers, regardless of their speciality, learn generative AI and specialize in AI agents.

Bill Gates is a wise man, but I believe that the demand for AI engineers will be far greater than the demand for biologists or energy sector experts.

Be smart.

Hop on to the Generative AI and AI Agents train heading for the moon if not the stars early on in your career.

And learn and specialize in some of the platforms mentioned in the list.

I recommend starting with the HuggingFace AI App Market.

All the very best of luck to you!

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Epilogue

Read this fascinating article on building AI agents on no-code platforms when you can!

How To Build AI Agents For Beginners (Without Coding) | Botify Updates