In 2025, we predict that AI agents will be the driving force of innovation and productivity in the workplace. That’s why so many organizations are looking for ways to build their own.
But what is an AI agent, exactly? Powered by artificial intelligence, these software systems use autonomous decision-making to perform complex tasks in pursuit of specific goals. They don’t require constant human intervention or prompts and can work independently alongside employees. AI agents simply receive inputs from various data sources and then use AI models to make and act on decisions. They also learn from their observations and interactions, and even store memories to aid future actions.
Examples of commonly used AI agents include chatbots, customer service reps, and virtual admin assistants. If you’re like most businesses, you’re probably looking to build one to handle the more mundane jobs like sending out automated reminders, handling simple customer queries, filling out forms, and more.
Building an AI agent sounds like a complex task — and without the right tools, it is! But there are dozens of AI agent builders available that make the job easier. These software solutions provide the necessary framework, infrastructure, and components that help you create your own AI agent without having to start from scratch. Many also take on much of the hard work for you so you can build an agent without coding or development knowledge.
In this article, we’ve rounded up the 10 best AI agent builders of 2025. These platforms support businesses, creators, and developers in building better and more powerful AI agents to take their innovation and productivity to the next level.
2025’s best AI agent builders
1. CrewAI
CrewAI is a multi-agent platform that enables businesses to build and manage teams of AI agents (a “crew”) that work together to accomplish tasks using any large language model (LLM) or cloud platform.
- Developer: CrewAI
- Best for: Businesses that want to use AI to tackle intricate tasks that span several roles
- Key features: Option to use no-code or code-from-scratch features, various deployment types available, dashboard to monitor all agents at once, testing and training tools to perfect AI agents, easily integrates with existing business apps
- Pros: Hundreds of use cases, such as market research, data enrichment, and more
- Cons: Collects anonymized usage data, which can raise privacy concerns for some organizations
- Plans/pricing: Free trial; contact CrewAI for information on plans and pricing; note that CrewAI is an open-source platform, so the code is available to use for free
- G2 rating: N/A
2. WotNot
WotNot is a no-code AI agent builder that allows businesses to create lead generation and customer support chatbots.
- Developer: WotNot
- Best for: Businesses that need website chatbots to convert traffic into leads
- Key features: Drag-and-drop chatbot builder that doesn’t require any coding, 40+ chat elements to streamline conversations, enterprise-grade security, build-for-you options
- Pros: Easy to train, easily scalable across the business
- Cons: Limited template options for common business use cases
- Plans/pricing: Free trial and free version; plans start at $99 per month, and a custom enterprise-level option is available
- G2 rating: 4.6/5
3. Voiceflow
Voiceflow is for businesses that want to build voice assistants and chatbots to create conversational AI experiences across various channels.
- Developer: Voiceflow
- Best for: Businesses that want the option of creating both text and voice AI agents from one platform
- Key features: Drag-and-drop AI agent builder, customized knowledge base with your business data, custom logic and integrations without any coding, real-time agent testing, advanced developer platform available
- Pros: Easy-to-use interface, even without coding experience
- Cons: Some report that the application’s help documentation is out of date
- Plans/pricing: Free trial and free version; plans start at $50 per month, and a custom enterprise-level option is available
- G2 rating: 4.7/5
4. Beam
Beam is focused on helping organizations reduce operational costs with self-learning AI agents that automate order processing, data entry, customer support, and more.
- Developer: Beam AI
- Best for: Businesses that are looking for AI agents that help minimize operational costs and increase efficiency
- Key features: A bank of pre-trained agents you can use as a foundation, use case-specific templates, human-in-the-loop option, integrates easily with existing business tools
- Pros: Beam agents improve in accuracy and performance over time
- Cons: Can be difficult to build an agent from scratch without some level of technical expertise or resources
- Plans/pricing: Contact Beam AI for demo, plans, and pricing details
- G2 rating: N/A
5. Botpress
Botpress is an all-in-one AI agent builder designed for creating agents using the latest LLMs. It enables developers to test, deploy, and iterate agents in real time.
- Developer: Botpress
- Best for: Businesses with highly technical resources looking to customize AI agents
- Key features: Intuitive visual design studio, built-in emulator to test agents, central dashboard for organizing files, simple integrations to third-party services, instant connections to popular messaging applications like Slack
- Pros: Easily trainable with websites, files, and other data
- Cons: No dedicated customer support team available
- Plans/pricing: Free version; paid plan available for $495 per month, and a custom enterprise-level option is also available
- G2 rating: 4.6/5
6. LangChain
LangChain offers an open-source composable framework to build AI agents using LLMs, leveraging your organization’s data and APIs.
- Developer: LangChain
- Best for: Businesses that have technical expertise to dedicate to AI agent building
- Key features: Open-source composable framework, extensive library of building components, connects LLMs to your business data for better decision-making, 600+ integrations
- Pros: Quick and scalable deployment, helpful documents on how to optimize
- Cons: Older versions of the software may not be supported, which can affect existing AI agents
- Plans/pricing: Contact LangChain for information on plans and pricing
- G2 rating: 4.8/5
7. Vertex AI Agent Builder
Vertex AI Agent Builder lets enterprise organizations build, train, and deploy powerful generative AI models for conversational AI agents to help meet their goals.
- Developer: Google
- Best for: Enterprise organizations that want to incorporate generative AI
- Key features: No-code and high-code options, seamless integration with Google Cloud services, enterprise-grade security, accelerated implementation and deployment, uses the LangChain open-source library
- Pros: Easy-to-use interface, even without coding experience
- Cons: Pricing structure is not always transparent, causing unpredictable costs
- Plans/pricing: Free trial; contact Google Cloud for information on plans and pricing
- G2 rating: 4.3/5
8. AutoGen
AutoGen is an open-source programming framework that enables enterprise organizations to build multiple AI agents.
- Developer: Microsoft
- Best for: Enterprise businesses that use the Microsoft ecosystem
- Key features: Multi-agent framework capability to automate complex workflows, low-code and high-code options, support for multiple LLMs, multiple conversation patterns
- Pros: Comprehensive documentation and libraries to support new users
- Cons: Can be difficult to use with limited coding knowledge
- Plans/pricing: Free; note that AutoGen is an open-source platform, so the code is available to use for free
- G2 rating: N/A
9. Microsoft Copilot Studio
Microsoft Copilot Studio enables organizations to use low-code technology and generative AI to build chatbots, AI agents, and more.
- Developer: Microsoft
- Best for: Enterprise organizations familiar with the Microsoft framework looking to build chatbots and AI agents with generative AI
- Key features: Seamless integration with Microsoft services; no-code and low-code development environment; design actions triggered by user conversations; agents can plan, learn, and escalate issues autonomously; built-in analytics and reporting tools
- Pros: Easy-to-use interface, even without coding experience
- Cons: Chatbots are often simple and cannot handle complex questions
- Plans/pricing: Free trial; plans include a pay-as-you-go and a $200 per month option
- G2 rating: 4.5/5
Benefits and challenges of using AI agent builders
Wondering whether you should use an AI agent builder or develop an agent from scratch on your own? It’s a good question. Here are some key benefits and challenges of these tools to help you find the answer.
Benefits of using an AI agent builder
- Ease of use: Many AI agent builders offer no-code and low-code development options, which means they take care of the heavy technical lifting for you. In some cases, you can literally drag and drop components to create an AI agent within minutes. This ease of use simply isn’t possible if you were to create an AI agent yourself.
- High level of customization: Although most AI agent builders make it easy to get started by providing templates for tasks, forms, workflows, connectors, and other elements, there’s often still a fair amount of customization to meet your specific needs.
- Customer support and documentation: If you get stuck while using an AI agent builder, there’s almost always a customer support team on the other end of the phone, email, or live chat. Plus, many AI agent builders also come with robust documentation, help libraries, and user communities.
- Free trials and plans: Many AI agent builders offer free trials and plans, so you can try before you buy. This is a great way to get a feel for a platform and see if it’ll work for your needs.
Challenges of using an AI agent builder
- Technical expertise: While this isn’t usually an issue for no-code and low-code platforms, others require considerable coding expertise. Check that your organization has the skills and resources to dedicate to this project first.
- Cost: Some AI agent builders are competitively priced while others cost a pretty penny. Don’t forget about ongoing costs, either — AI agents aren’t a one-and-done project but instead need regular maintenance.
- Security: If you’re connecting your organization’s data to the AI agent builder, it needs to be highly secure. This is especially important for regulated industries like healthcare and finance, where the technology you use must meet certain requirements.
- Scalability and performance: While you might have some control over scalability and performance, much of it is left up to the AI agent builder. Consider whether the platform is able to meet the needs of your organization as it grows.
Find the best AI agent builder for your needs
With so many options for AI agent builders out there, the choice can feel overwhelming. As you shop around, keep these questions top of mind:
- Does the AI agent builder offer a free plan or trial?
- Does it require coding knowledge?
- How scalable is it?
- Can I apply it to multiple use cases within my organization?
- How easily does it connect with my other business systems?
- What kind of support and documentation does the builder offer?
Keep in mind that AI technology is rapidly changing and, as a result, AI agent builders will also continue to evolve and expand. This list provides you with 10 excellent options to start enhancing your business today, but keep an eye out for new features and developments.
Photo by: Kaboompics
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