It is possible to create AI agents, the newest product of artificial intelligence technology and aiming to automate complex tasks, for your specific needs through AI agent builders. AI agents are AI assistants who break down complex tasks into manageable sub-tasks and can make independent decisions by observing the environment. With AI agent builders, you can create AI agents that will cater to your organization's needs. If you are wondering what AI agent builders are, we've got you covered!
In this article, we will explore what AI agent builders are and the best AI agent builders.
Ready? Let's begin!
TL; DR
- AI agent builders are tools that allow users to create custom AI agent systems.
- AI agent builders offer studios where users can create their own AI agents using various AI models such as LLMs and image generators.
- With AI agent builders, you can create AI agents suitable for specific tasks and roles.
- Most AI agent builders are not suitable for practical use because they require coding language skills such as Python.
- If you are looking for an AI agent builder that offers easy AI agent building options as easy as drag and drop, you can try Dify AI.
- If you are looking for an AI agent builder that offers features that you can customize for specific roles and tasks, we recommend that you put LangChain and AutoGen on your radar.
- If you are looking for an AI assistant to skip the coding, building and fine-tuning stages and integrate directly into any department of your organization, TextCortex is the way to go.
What are AI Agent Builders?
AI agent builders, as the name suggests, are systems that allow users to create their own AI agents and AI model systems. While some AI agent builders make the entire process as easy as drag and drop, others may require proficiency in programming languages such as Python. With AI agent builders, you can create custom AI agents that cater to the specific needs of your enterprise and use them in any department of your organization.
How AI Agent Builders Work?
AI agent builders provide studios that allow users to create a variety of AI agents, from AI chatbots to AI assistants. These studios include the following key components:
- Instructions
- Variables
- Context
- Tools
- AI Models
- API Integration
Advantages of AI Agent Builders
AI agent builders offer their users a wide range of advantages. The first of these advantages is that users can build AI agents that can fully meet the needs of specific tasks or organizations. If you cannot find an AI agent in the market that caters to the specific needs of your organization, you can create your own with AI agent builders. Another advantage of AI agent builders is that they leave room for customization and personalization.
AI Agent Builder Limitations
To use some AI agent builders, you need to be proficient in programming languages such as Python. If you do not know programming languages such as Python, using AI agent builders will be a difficult process for you. The limitation of some AI agent builders is the AI models and triggers they offer. In addition, any tool you create with AI agent builders has the potential to cause problems because it is not professionally designed.
Best AI Agent BuildersÂ
AI agent builders have high-quality, easy-to-use, and functional options like any product. If you want to build your own AI agent and are looking for the most functional and best AI agent builders on the market, we’ve got you. Let’s take a look at the best AI agent builders.
1. TextCortex
If you don’t want to waste time building AI agents and are looking for an AI agent that can integrate with any task and purpose of your organization, then TextCortex is designed for you.
TextCortex offers features such as knowledge bases, text/code/image generation, web search, custom personas, natural language capabilities, and powerful RAG to cater to a wide range of needs of its users.
With TextCortex, you can automate the repetitive and specific tasks of your enterprise and organization and save your employees time. Moreover, you do not need advanced coding skills or technical background to integrate TextCortex into your workflow and automate your tasks. TextCortex is designed to automate and support the mundane tasks of both individual and professional users.
Check out the results from one of our case studies:
- TextCortex was implemented for Kemény Boehme Consultants as a solution to tackle these challenges and today employees report increased efficiency and productivity (saving 3 work days per month per employee on average).
- AICX, an ecosystem partner of TextCortex, was integral to the onboarding and helped achieve a 70% activation rate of the team within the first weeks.
- Employee confidence in using and working with AI increased by 60%.‍
- The implementation results in a 28x return on investment (ROI).
2. Dify AI
Dify is a platform that offers its users open-source LLM app development and AI agent-building features. With Dify, you can build AI agents that you can integrate into complex workflows and add various tools to them. To build an AI agent using Dify, you need to create an account and head it to its web app.
Once you open the Dify AI, you can start building your own AI agent by selecting “Studio” from the tabs at the top. Dify’s AI agent builder studio allows you to add key components such as Instructions, Variables, Context, and AI tools. Dify AI is a completely free platform to use.
3. LangChain
LangChain is an open-source platform for building applications powered by large language models such as GPT-4o, and Claude 3.5 Sonnet. You can create AI agents via LangChain by combining AI models, LLMs, prompts, triggers, and actions. LangChain offers its users a modular and extensible architecture that they can customize for specific tasks.
LangChain accelerates the AI ​​agent-building process of its users and eliminates heavy lifting with its pre-built components. LangChain also provides AI agent-building support to its users in various roles and purposes. What’s more, you can train the AI ​​agents you will build with LangChain with custom data and knowledge to provide context and create AI agents that generate more accurate output.
4. AutoGen
AutoGen is an open-source framework for creating AI agents and leveraging collaboration among several AI models, such as LLMs, to perform complex tasks. AutoGen offers its users support for multiple large language models (LLMs), autonomous workflows, multi-agent conversation and collaboration patterns, and code-based AI agent-building features.
With AutoGen, the AI ​​agents you build can understand user instructions, train themselves by analyzing the outputs of the tasks they execute and the feedback they receive, and adapt to the environment. With AutoGen, you can utilize the AI ​​agents you create for specific roles and tasks and switch them between full automation and manual.
Frequently Asked Questions
What is an AI agent builder?
AI agent builders are a set of AI tools that you can use to build generative AI applications. The agents you create with AI agent builders consist of AI models with collaboration and communication. The AI agent-building process usually requires knowledge of the Python coding language.
What is the best platform to build AI agents?
The most basic and effective way to build AI agents is to use Python. However, if you want to make things a little easier and faster, you can try AI agent builders. Each AI agent builder has its own advantages and disadvantages. For example, AutoGen and LangChain offer advanced personalization options but require advanced coding knowledge as a downgrade.
How can I build an AI agent?
The simplest and fastest way to build an AI agent is to use an AI agent builder. AI agent builders aim to make everything you can do with Python easy and visual. Some AI agent builders allow you to create AI agents without any coding skills.