Automation won’t replace you, but someone leveraging it might do!
This statement fits perfectly in this AI-driven world, where we witness innovations with each passing day. One such game-changing innovation that artificial intelligence has recently brought is AI agents. Heard of this name before?
Great! But if you are thinking that these are similar to AI virtual assistants or chatbots, you might be mistaken. While AI agents work quite similarly to virtual assistants or chatbots, their exceptional ability to make intelligent decisions and take independent actions sets them apart from these two.
Those who haven’t read much about AI agents would be surprised to know that there are ample AI agents that have been launched by different companies for diverse use cases and are enjoying immense success.
And if you are curious to know about them, this blog is exclusively for you. Dig deeper into this blog to learn about the 10 best AI agents in 2025. Also, explore what AI agents are, their working, and use cases in specific industries.
What are AI Agents
Designed primarily to augment human intelligence and capabilities, AI agents are intelligent agents that leverage artificial intelligence and machine learning to plan, make decisions, and take actions with zero manual intervention.
They can be used to automate repetitive tasks, manage information, render support, and offer personalized recommendations. Some high-level AI agents, like the ones from this list of top 10 AI agents, can even write code, create content, and handle complex projects with efficiency and accuracy.
You may like to read: AI Agents vs. AI Chatbots: In Depth Comparison Guide
How Does an AI Agent Work
Like any other AI-powered software program, artificial intelligence agents also operate through a cycle of perceiving inputs, thinking/processing, and taking action. In other words, it collects data from multiple sources, processes and analyzes it using machine learning models, NLP, and other sophisticated AI algorithms, makes decisions based on the analysis, and executes actions.
The best part is that the entire process doesn’t require human involvement, which means they can focus on other strategic tasks. These intelligent agents in AI also automatically learn from their past interactions to improve their performance and ensure accuracy in outputs. Some from the list of the best 10 AI agents even have a memory to store past interactions and information.
Explore More: Types of AI Agents: Use Cases, Benefits, and Challenges
The Growing Impact of AI Agents Across Industries
AI agents are becoming a crucial part of almost every industry’s operations to bring automation, intelligent decision-making, offer customer support services, and more. Let’s explore the growing impact of AI agents, including the 10 top AI agents that have been mentioned here, across different industries:
Healthcare
- Analyzing medical scans to detect anomalies
- Evaluating medical history to predict patient risks for certain diseases
- Automating administrative tasks
- Offering patients virtual assistance and support
Manufacturing
- Predicting the wear and tear of equipment
- Inspecting products for defects before dispatch
- Dynamically adjusting production schedules
- Controlling robotic arms
E-commerce
- Suggesting personalized recommendations based on customers’ interests
- Predicting future demand to avoid inventory stockouts and overflow
- Rendering personalized support services
- Optimizing delivery routes
Also Read: AI Agents in Retail: Keeping Your Supply Chain Running Smoothly
Finance
- Identifying suspicious transactions and activities
- Automated financial advice and portfolio management
- Automating compliance checks and regulatory reporting
- Evaluating the creditworthiness of customers applying for a loan
You may like to read: AI Agents in Finance: Use Cases, Benefits, Challenges and More
Customer Support
- Answering FAQs
- Providing guidance on glitch troubleshooting
- Processing order-related requests
- Navigating complex queries to the right human resource/department
Read More: AI Agents in Customer Service: Benefits, Use Cases, Real-World Examples, and More
Transportation
- Facilitating driverless driving
- Planning routes and dynamically adjusting to traffic situations
- Intelligent decision making on the road to ensure passenger safety
- Managing logistics and optimizing delivery routes for transportation businesses
Education
- Designing personalized e-learning programs
- Providing automated grading and feedback on assignments
- Facilitating an intelligent tutoring system
- Analyzing student performance data
Explore More Use Cases: AI Agents in Sales: Types, Benefits, Stats, Use Cases, Features, and More
Apart from the aforementioned ones, almost every other industry can make the most of intelligent agents in AI for business transformation, enhancing customer experiences, and revolutionizing other critical business aspects. If you want to learn how your particular business can utilize an AI agent, connect with a reputed AI agent development company.
How We Selected the Top 10 AI Agents
Below are the parameters we have considered to shortlist the best 10 artificial intelligence agents:
- Autonomy: It is the ability of the agent to perform given tasks and make decisions without regular manual intervention.
- Task completion handling: It is the level of complexity an artificial intelligence agent can handle.
- Self-learning and adaptation: It means the AI agent’s ability to learn from past interactions and experiences.
- Reasoning and problem-solving: It means how effectively the AI agent reasons and solves issues.
- Integration and interoperability: This parameter evaluates the AI agent’s ability to seamlessly integrate with other tools, platforms, APIs, and existing workflows.
- Communication and interaction: It means the ability of an AI agent to communicate and interact with other agents.
Apart from these, some other parameters that we have considered are:
- Ease of use and implementation
- Scalability and performance
- Reliability and accuracy
- Security and privacy
- Cost-effectiveness
- Key features or USPs
Top 10 AI Agents in 2025
#1 Manus
Created by Manus.ai, this AI agent is best known for its exceptional level of autonomy, i.e., the ability to independently plan, execute, and provide accurate results even for complex tasks. The agent doesn’t require any human guidance and is able to finish end-to-end tasks on its own.
It is designed to perform complex online tasks, including data analysis, content generation, stock analysis, and stock management. The intelligent agent in AI can learn from past user interactions to deliver personalized results and improve itself.
Manus has exceptional reasoning and problem-solving capabilities while ensuring seamless integration with various web browsers, DBMS, code editors, and other tools. This AI agent is capable of processing and generating outputs in different forms, including text, images, and code.
What Manus brings to the table
- Enterprise automation
- Research assistance
- Intelligent decision-making
Website:- https://manus.im/
Pricing
- Manus Starter- $39/month
- Manus Pro- $199/month
#2 Replit
Developed by Replit, this AI agent excels in creating new projects with complex features. It requires minimal manual intervention in the initial stages. It focuses on writing code descriptions, quick fixes, and upgrading new features based on user input.
Replit requires text descriptions to create fully functional applications with exceptional features. From intelligent code completion and debugging assistance to boilerplate code generation, this AI agent is proficient in everything. Like Manus, Replit is also capable of learning from its previous interactions and user feedback.
It has a great level of reasoning to perform code-related tasks. When it comes to integration, Replit can be seamlessly integrated within the Replit workspace using API integrations. The agent can also engage in coding-related chats or conversations.
What Replit brings to the table
- Real-time code completion
- Bug fixing
- Project scaffolding
Website:- https://replit.com/
Pricing
- Starter- Free
- Replit Core- $30 per month
- Teams- $35 per user per month
- Enterprise- Custom pricing
#3 Zora AI
Built by Deloitte, Zora AI can perform complex business tasks without manual intervention. It eliminates the hassle of performing repetitive and data-rich tasks manually. The AI agent comes with a suite of ready-to-deploy agents to perform different business functions, including sales, human resources management, finance, and marketing.
Zora AI is built on NVIDIA AI and can auto learn from past interactions and improve its performance over time. It surpasses human intelligence and reasoning to perform assigned business tasks efficiently and accurately. Zora AI can be quickly deployed on existing technologies using pre-built integrations. It is also capable of interacting with other agents.
What Zora AI brings to the table
- Financial modeling
- Risk assessment
- Corporate strategy planning
Website:- https://www2.deloitte.com/us/en/pages/consulting/solutions/zora-generative-ai-agent.html
Pricing
- Multiple
#4 EY.ai
Developed by Ernst & Young, EY.ai is an artificial intelligence agent with automation of tasks as its core purpose. It focuses on assisting professionals in data collection, document analysis, review, and compliance adherence in taxes, risk management, and finance. Built on the NVIDIA AI stack, it is developed for specific domains and verticals and can quickly learn and adapt to client-specific data.
This AI agent has great reasoning and problem-solving capabilities that make it perfect for the finance domain. It can be accessed on particular devices or via cloud platforms.
What EY.ai brings to the table
- Compliance automation
- HR analytics
- Workflow optimization
Website:- https://www.ey.com/en_in/services/ai/platform
Pricing
- Multiple
#5 ReplyGuy
Replyguy is an Independent AI Project that is developed to help businesses find the best places to mention their products. The AI agent identifies relevant online conversations, drafts personalized replies, and posts the product descriptions online after getting approval. It requires minimal interaction.
The AI agent can auto learn and improve while helping its users to generate leads and enhance brand visibility. Replyguy has strong reasoning capabilities and can monitor online platforms and conversation platforms for particular keywords.
What ReplyGuy brings to the table
- Automated replies
- Automated conversations
- Community engagement
Website:- https://replyguy.com/
Pricing
- Pro- $49/mo
- Business- $99/mo
- Enterprise- $199/mo
#6 Devin
Created by Cognition AI, Devin is a leading AI agent that excels in writing, running, and testing code. It requires minimal direct supervision to perform designated tasks. The output generated by this AI agent also needs to be evaluated by human professionals for accuracy. Devin is capable of performing small to medium-level engineering tasks. It collects and stores notes to build a mechanism for self-learning from its previous experiences.
Devin has significant reasoning and problem-solving capabilities for performing software development tasks. It operates through a Slack-based workflow and can interact through a chat interface to offer real-time updates on its progress.
What Devin brings to the table
- Code generation
- Software debugging
- AI-assisted programming
Website :- https://devin.ai/
Pricing
- Core- Pay as you go
- Team- $500/month
- Enterprise- Custom pricing
#7 Do Anything Machine
Built by Garrett Scott, Do Anything Machine is a personal AI assistant that is capable of managing and executing tasks with the least user intervention. It streamlines workflows and can handle tasks to improve productivity, project management, email and communication management, and more.
The AI agent can adapt to the preferences of different users and boasts a significant level of reasoning and problem-solving capabilities. Do Anything Machine can seamlessly integrate into existing workflows and offers real-time progress tracking and reporting to users.
What Do Anything Machine brings to the table
- Task prioritization & execution
- Integration with tools
- Contextual task management
Website:- https://www.doanythingmachine.com/
Pricing
- Multiple
#8 Eureka
Developed by Nvidia, Eureka is a popular AI agent that can autonomously perform tasks and make decisions to achieve desired goals. It can efficiently create and manage complex multi-step workflows and is suitable for industries like QSR, e-commerce, telecom, media, banking, and insurance.
This AI agent can auto learn and adapt through long-term persistent memory. Its multi-agent frameworks enable advanced reasoning and problem-solving capabilities in the agent. Eureka is designed for enterprise scale and supports seamless integration into business processes. The AI agent offers real-time performance monitoring.
What Eureka brings to the table
- Industrial automation
- Robotics
- AI-driven simulations
Website:- https://www.eureka.ai/
Pricing
- Custom
#9 Operator
Crafted by OpenAI, Operator is an autonomous artificial intelligence agent that doesn’t require regular human supervision to perform repetitive tasks. It requires human resources to perform tasks that require entering login credentials, payment details, and CAPTCHA verifications. The Operator is capable of handling tasks like filling online forms, ordering groceries, and creating unique content with user inputs.
It has GPT-4’s vision capabilities and robust decision-making ability to interact with a wide array of websites. Along with this, the Operator can communicate with different web pages and provide feedback via the user interface.
What Operator brings to the table
- Customer service
- Enterprise automation
- Personal productivity
Website:- https://openai.com/index/introducing-operator/
Pricing
- Free
- Premium
#10 Jack AI
Developed by Jenesys and designed for accountancy firms, SME businesses, and startups, Jac AI is an AI agent that can perform various accounting and bank reconciliation operations with the least manual intervention.
It learns from its previous interactions and transactions to ensure precise extraction of line-item accounting entries, quick processing, and minimized manual review. The agent also offers real-time insights and has strong reasoning and problem-solving capabilities.
What Jack AI brings to the table
- Market research
- Sales automation
- Strategic planning
Website:- https://www.jenesys.co/
Pricing
- Custom
How to Build an AI Agent
AI agent development requires hands-on experience in AI technology, knowledge of ethical development practices, and methodologies. The next step is to follow the following series of steps:
#1 Define the AI Agent’s Purpose
As aforementioned, an AI agent can perform several functions and address many business challenges. The first step is to determine which particular task you want it to perform. For example, you might need an artificial intelligence agent for responding to customer requests or initiating specific actions on completion of particular conditions.
Apart from this, mention success metrics, i.e., how you will measure the performance of the AI agent. You can choose from metrics like accuracy, response time, goal completion rate, etc.
#2 Select the Technology Stack
In this step, choose the right programming language, modeling frameworks, data infrastructure, cloud platforms, and agent platforms. Selecting any of these tech stacks depends solely on your specific AI agent development project requirements. Once you are done with this, assemble your development team by carefully selecting ML experts, NLP developers, software engineers, and testers.
#3 Collect and Process Data
Collect data, on which your agent will be trained, from sources like CRM, ERP, emails, documents, and chats. Clean and process this data to minimize bias and improve consistency. Make sure you provide labels to each dataset to make it ready for supervised and reinforcement learning models.
#4 Develop and Train the AI Agent
Develop the AI agent using the defined technology stack. Define clear and modular instruction blocks, and choose the right ML model to train the model on a particular dataset for the specific use case. Implement iterative refinement by testing different prompts, memory strategies, and retrieval models for your agent. Don’t forget to evaluate the agent’s performance for tasks or on custom KPIs.
#5 Test
Testing is a crucial phase of the AI agent development process. Thoroughly test the developed AI agent in different scenarios to make sure it delivers accurate results and can handle the edge cases efficiently. Also, validate the agent’s reliability, accuracy, and adherence to defined compliance and guidelines.
#6 AI Agent Deployment and Integration
The next step is to deploy the AI agent to cloud platforms or integrate it into existing on-premises software or applications using the right APIs. Make sure the agent delivers a consistent user experience through appealing and intuitive interfaces.
#7 Monitor and Maintain
Continuously monitor your artificial intelligence agent’s performance on defined metrics. Also, analyze user feedback and figure out ways to improve your agent for better performance. One more important thing to do is to retrain the model with the latest data.
If you don’t wish to develop an AI agent on your own, connect with an experienced AI agent development company or hire AI developers with relevant domain experience and focus on customization and scalability.
Read in Detail: How to Create an AI Agent? Top Use Cases, Benefits, and Examples
Conclusion
AI agents go a step beyond chatbots and virtual assistants and offer exceptional capabilities to revolutionize the way healthcare, manufacturing, e-commerce, education, retail, logistics, and other businesses operate. AI agents have the capability to plan, make decisions, and take actions without human intervention.
If you are interested in exploring more about AI agents and the top 10 AI agents in 2025, this blog is a perfect choice for you. It thoroughly explains what AI agents are, their use cases in various industries, the step-by-step working and development process, and a lot more.
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