AI Agents- Definition, Tools, frameworks and more

The entire world revolves around technology now; every field requires technology to work effectively with minimal errors. One of the main reasons for this upgrade is due to the growth of Artificial Intelligence(AI). Now, everyone is aware of AI and familiar with its usage. But do you know how to maximize the AI’s potential and extract the most out of it?

To make it clear, AI is not only about the chatbots and virtual assistants that give suggestions and innovative ideas to enhance our work; it is much more than that. AI would also think, act, and make clear definite actions without human intervention. This is possible through an important component of AI that is – AI Agents. They are one of the significant tools which makes us maximise the potential of Artificial Intelligence. So, let’s dwell more and know the necessity of these AI agents in our day-to-day life.

What is an AI Agent?

AI agents are tools that perform tasks independently to achieve a predetermined goal without human intervention. They perform ridiculous actions on their own by thinking, evaluating and analysing the components which are directed by humans. Through AI agents we can automate tasks in any field like biotechnology, software operations, coding,etc. It is basically a software program developed for AI to complete actions demanded independently with accuracy and effectiveness.

Thus, it makes AI a powerful software that understands the environment and completes the stipulated tasks logically. It is the best one to use in the business to handle tedious and time consuming tasks like customer engagement, repetitive routine works and so on. This reduces the burden and we can focus on highly crucial tasks in the organisation. There are several AI agent tools which help you to make your own customisable AI agents.

Top 5 AI Agents – development tools and framework with Coding

1. LangChain

LangChain is used to build custom applications like AI chatbots, agents, retrieval-augmented generation (RAG) systems, and also some data analysis based applications which can perform actions required by the customer. Applications are developed using a Large Language Model (LLM’s). They are the most simplified LLM based tools to develop an ai agent.

Key Highlights:

Connects with different AI models, web browsers and other external sources
Usage of retrieval augmented generation system to retrieve derive details from old data base
Easy step by step workflow

2. AutoGen

Autogen is a framework designed to correlate with multiple AI tools and agents to complete the designated tasks and schedules. It was being provided by Microsoft groups as an open source tool which is customisable according to individual needs. This ai agent enhances the problem solving capacity and stands as an Ideal choice for automating complex tasks like code generation, data analysis, maintaining reports etc.

Key Highlights:

It has the option of Human in the loop (HITL) that refers to addition of human inputs in the ai agent’s processing.
Interactions with multiple AI agents result in a productive and verified completion of the proposed tasks.
More suitable for code generation, debugging and prototypes.

3. CrewAI

It is an open source python based framework that works in crews formed with role specific agents and tools helping in the completion of automated tasks and goals. The clarity and process of the workflow makes it an unique artificial intelligence agency.

Key Highlights:

It ensures a smooth coordination of sub tasks through multi – agent and workflow.
Customisable priorities help in building automated task schedule with flexibility
Access to third party services and customized AI agents collaboration makes it suitable for real world complex tasks.

4. Langgraph

It is a framework specially designed to complete the complex automated tasks through graphical representations. Visualisations and its immense flexibility makes it more user friendly and less time consuming.

Key Highlights:

Highly reliable and help in lengthy tasks in the long run of the business.
Langgraph’s scalability (that is it’s function from prototype to final output)is higher compared to other AI tools
It has a better control and safety system

5. Google ADK

It is a smart system which is used to build AI Agent which acts as a connecting devices like bluetooth,smart robots etc. It acts as a primary source in many hardware tools and software as a AI agent sensing voice recognition and sensors.

Key Highlights:

Helps in providing voice commands, senses the motion and make decisions.
It connects external devices like smart watches, blue tooth devices to communicate with the main android or IOS device.
The cloud integrated storage activates the user to utilise the advanced facilities.

Top 3 Non-Coding or low coding AI Agents

1. Bot press

Bot press creates a conversational and smart AI with low or no coding requirements
It has natural language understanding and can be customised according to individuals needs
It is highly flexible and can be deployed through multiple channels
Using bot press is more economical and helps us be self reliant.
If needed, custom codes can be generated in the midst of the task process.

2. Dify

It is an open source platform to build AI applications supported by LLM.
It is user friendly and easily accessible to create applications only based on prompts given by us.
Self host is provided in dify along with cloud management which helps in retrieved automated generations (RAGs)
Access to track,view and review the past history
Customisable internal tools and experience of the users.

3. Mindstudio

Inputs can be provided using drag and drop builder feature to visually build the workflow.
Easy access to different ready made customisable templates.
Less time consuming, quicker and accurate results
Versatile external systems and multiple providers for enhanced user experience.
Faster user experience, higher scalability and cost efficient.

All these Ai agent examples will help you complete your tasks in a rapid and effective way. To unlock this method of workflow on a daily basis you have to be aware about the basics of Artificial intelligence.

There are several platforms to learn about Artificial intelligence and one among the best is – HENRY HARVIN.

Learn More About AI Agents with Henry Harvin

HENRY HARVIN is a globally recognized and accepted platform offering various educational courses, diplomas and also certifications. They are in the field for nearly 13 years along with expert course instructors, industry experts and trainers. They also provide internship and placement support through various collaborations.

Artificial Intelligence Courses

Courses Offered	Basic overview	Features	Skills Covered
Artificial Intelligence Course	This course covers the fundamental as well as advanced Ai techniques, algorithms and its application in different fields.	32 hours instructor led sessions and 192 hours of hands on experience in clouds lab47 auto graded assignment and 6 plus industry based case studiesPlacement as well as internship support is provided.	Machine learningData wranglingAlgorithm predictionData visualisationData modelling and analysis
Generative AI course	This course covers generative models,tools and frameworks to identify the data pattern and create new outputs.	32 hours instructor led sessions and 192 hours of self paced learning, 5 plus assignments and mini projects 8 plus industry based case studiesPlacement as well as internship support is provided.	Model Optimization, Containerization, API Creation, Transformers and LLM’sGPT- 4 Vision

Conclusion:

For updating ourselves with the fast pacing changes in the world, learning about AI becomes the unneglectable part. And also, inculcating AI in our routine work reduces our burden and paves the way for handling the core of our work. Thus, to get equipped with Advanced AI based creation, all these types of agent in AI would help in improving the overall competency and effectiveness of our work.

FAQs

1. Are these tools free of cost?

Partially, yes. The basic standard version of these tools are free of cost but the advanced version can be utilized only by paying a respective premium.

2. Does an AI course require any prerequisites?

It requires the basic knowledge and understanding of the fundamentals of mathematics and computer science.

3. Is the AI course globally recognised?

Yes, the AI course is globally recognised as well as accepted worldwide.

4. How accurate an AI agent can be?

Ai agent would be mostly accurate as it is functioning based on machine learning. The accuracy is dependent on the quality and quantity of the context provided as a part of Machine learning.

5. How to start using an AI agent?

Understanding the basics of AI and the guidelines of the specific ai agent tool would help you begin your work with AI agents.