5 Best AI Agent Building Platforms in 2025
Everyone's talking about AI agents this year – 2025 seems to be all about them! These smart helpers promise to handle tasks on their own, saving us time and effort.
As someone working with AI, especially in data annotation at Labellerr, I got excited. I thought, "I have the perfect job for an AI agent!"
My idea was simple: build an agent to constantly scan sites like LinkedIn, Twitter, and Reddit.
Its job?
To find anyone asking for help with data annotation or labeling and send me a notification right away.
No more spending hours scrolling through feeds myself! It sounded straightforward, a great way to save time and find potential leads or people needing assistance.
So, I rolled up my sleeves and tried to build it. That's when I ran into the real world of AI agent development.
Trying different methods, from coding it myself to using fancy new platforms, showed me that while the idea of autonomous agents is powerful, the reality still has some bumps.
This journey led me to explore the tools designed to make building these agents easier. If you're wondering what platforms are out there to help create your own AI workforce, here’s a look at some of the best options available in 2025.
Voiceflow
VoiceFlow
Voiceflow is a top platform for making AI agents that can talk or chat with people. It helps teams build smart, human-like AI agents quickly.
Voiceflow is great for many uses, starting with customer support, but also useful for sales or internal company tools.
Teams can work together easily on the platform, try out new ideas safely, and connect their AI agents to almost any software they already use.
Features of the Tool
- Build Voice and Chat Agents: You can create agents for both talking (like phone systems) and typing (like website chatbots). It has a visual tool to map out conversations easily, but developers can also add custom code for complex tasks.
- Teach Agents Your Business Info: You can load your company documents and data into the agent's "Knowledge Base." This helps the agent answer difficult questions specific to your business. It works with different AI brains (like models from OpenAI or Anthropic) and lets you adjust how creative the AI is.
- Connects to Other Tools: Voiceflow agents can link to popular business software like Salesforce, Shopify, Zendesk, and many others. This lets the agent get information or perform actions in those systems.
- Tools for Developers: For more technical users, Voiceflow provides tools (APIs) to add more features, build custom connections, and use the Knowledge Base in other applications.
- Teamwork Ready: Multiple people can build and manage agents together in real-time. It offers templates to help teams start faster.
- Safe and Scalable: Voiceflow provides strong security features and can handle the needs of large companies. You can manage user permissions and track how the agents are doing.
- Test Quickly: You can instantly test how the agent responds and make changes easily, helping you improve the conversation quality fast.
Case Studies
- Trilogy: Used Voiceflow for support tickets. Their AI agent solved 70% of issues automatically, saving them $425,000 in three months.
- Sanlam: Built an AI helper for finance three times faster using Voiceflow. This agent successfully converted 80% of leads.
- Home Depot: Tested their phone system (IVR) with many more users (from 12 to 300) in just a week using Voiceflow.
- BMW: Cut down the time needed to design voice features for cars by 50%.
- Roam: Saved 30 hours of customer support work each week with their Voiceflow agent.
- Other companies like WooliesX and Rocket Mortgage also improved their workflows using Voiceflow.
Relevance AI
Relevance AI
Relevance AI is a platform designed for teams that don't necessarily have coding skills. It lets business experts build, use, and manage groups of AI agents – an "AI Workforce" – for important tasks.
People use it for sales, marketing, customer help, research, and daily operations. You can create agents from scratch or use ready-made ones.
Relevance AI focuses on being easy to use while offering powerful customization and strong security for businesses.
Features of the Tool
- Build Without Code: Create AI agents using visual tools. You don't need to write any programming code to teach the agent your company's steps and processes.
- Ready-Made or Custom Agents: Start with pre-built agents designed for common jobs (like sales research or customer support) or build your own agent for specific tasks.
- AI Tools & Skills: Give your agents different "tools" to perform actions like searching the web, sending emails, updating databases, creating content, or scheduling meetings.
- Deep Customization: You can change exactly how your agents work to match your business rules and playbooks.
- Works with Many AI Brains: You can choose which large language model (LLM) powers your agents, like those from OpenAI, Anthropic, or Google, and switch if needed.
- Connects to Business Tools: Relevance AI links with over 1000 apps like HubSpot, Gmail, WhatsApp, Zapier, and others. This lets agents automate work across different software.
- Strong Security: The platform meets high security standards (SOC 2 Type II, GDPR). It offers user controls, data encryption, and choices for where your data is stored (US, EU, AU, or private cloud). It doesn't train its main AI on your private data.
- Templates and Help: Get started quickly with over 100 templates designed by experts and join a community for support.
- Manage Your Agents: Keep track of all your AI agents from one place, see how they perform, and measure their value.
Case Studies
- SafetyCulture: Used an AI agent for sales development. It cut the cost of getting a sales meeting by 50% by instantly contacting leads, doing research, and updating their sales system.
- Account Research Agent: Sales teams use an agent to automatically research potential clients before calls, providing useful insights and saving time.
- Lifecycle Marketing Agent: Helps companies keep customers by sending personalized messages and identifying the best next steps based on customer actions.
- General Impact: Many businesses report faster responses to leads, more productive teams, and cost savings using Relevance AI agents. Users praise its ease of use, customization, and security.
Relevance AI helps non-technical teams build powerful AI agents that perform high-quality work safely and securely.
n8n
n8n
n8n is a flexible platform for automating workflows and building AI agents. It's unique because it lets you build visually with drag-and-drop and write code (like JavaScript or Python) when you need more power or customization.
This makes it good for both less technical users and developers. You can run n8n on your own servers for complete control (on-premises) or use their cloud version.
Because it's based on open source with a fair-code license, companies can freely modify it.
Features of the Tool
- Visual and Code Building: Create workflows by connecting blocks visually, but easily switch to writing code within any step for complex logic or custom functions.
- AI Agent Capabilities: Build AI agents and chatbots that connect to your data. It works with tools like LangChain and has built-in AI blocks for common tasks like summarizing text or answering questions based on documents.
- Lots of Connections: n8n connects to over 400 popular apps like Slack, Google Sheets, Notion, GitHub, and OpenAI out of the box. You can also connect to almost any other app using its HTTP request node.
- Easy Testing and Fixing: Quickly test parts of your workflow, see the data at each step, and fix problems easily with built-in debugging tools.
- Advanced Workflows: Handle complex situations with features like loops (repeating steps), branching (if/then logic), error handling, and ways to merge or split data paths.
- Flexible Hosting: Choose cloud hosting, run it yourself on-premises, or install it using Docker/NPM. Enterprise options include single sign-on, user roles, audit logs, and version control.
- Teamwork and Templates: Supports multiple users working together, offers over 1700 workflow templates, and has an active community sharing solutions.
- Secure: Offers strong security, especially with on-premises hosting, including encrypted storage for sensitive information like API keys.
Case Studies
- Delivery Hero: Saved 200 hours every month by automating just one IT task using n8n.
- StepStone Group: Turned a two-week data project into a two-hour task using n8n. They used AI within their workflow to automatically process job postings.
- General Use: Teams use n8n for automating customer support answers, managing help desk tickets, and handling simple IT tasks like password resets. People like its power and how it simplifies complex automation.
n8n is a great choice for teams that want flexibility, deep integration capabilities, and the option to combine visual building with custom code for their AI agents and automations.
Make
make
Make (formerly Integromat) is a popular no-code platform focused on visual automation. It lets users build complex workflows and AI agents by connecting different apps and services together using a drag-and-drop interface.
Make helps teams automate business processes without needing to code. It connects to over 2,000 applications and is known for being flexible, scalable, and secure.
Many companies use it to save time and streamline their work.
Features of the Tool
- AI Agents (Agentic Automation): Make's AI Agents work differently than traditional step-by-step workflows. You give the agent a goal (like "Summarize today's support tickets and identify urgent ones") and provide it with "tools" (which are your pre-built Make scenarios). The agent then figures out which tools to use and in what order to achieve the goal, adapting as needed.
- Visual Workflow Builder: Design your automations (called "scenarios") on a visual canvas by dragging and connecting different app modules. This makes it easy to see how your automation works.
- Huge Number of Connections: Make connects to over 2,000 apps, including tools like Slack, Google Workspace, Airtable, Notion, and many others. You can also connect to almost any service that has an API.
- Create Reusable "Tools": You build standard Make scenarios for specific tasks (like finding customer info, creating a report, checking inventory). Then, you give these scenarios to your AI Agent as tools it can choose to use.
- Flexible Triggers and Responses: Start your agents based on different events (like a new email, a Slack message, a form submission) and have them send results back to users or other systems.
- Strong Security: Make complies with security standards like GDPR and SOC2. It offers data encryption, user management, login controls (SSO), and detailed logs.
- Tracking and Monitoring: See how your automations are performing, check detailed logs for errors, and analyze results to improve your workflows.
- Templates and Community: Use pre-built templates to automate common tasks quickly and learn from the Make community.
- Scales Well: Works for small tasks but can also handle complex automations needed by large companies.
Case Studies
- GoJob: Used Make to automate processes and saw up to a 50% increase in yearly revenue.
- Fonds Finanz: An insurance company saved 10,000 hours of work per year using Make.
- Shop Accelerator Martech: Said using Make was like "having an extra employee (or 10) for a fraction of the cost."
- Teleclinic: Scaled their operations and reduced costs by using Make for critical tasks.
- General Use Cases: Businesses build Make AI agents for things like managing inventory, answering customer questions, analyzing marketing data, onboarding new employees, and coordinating projects.
Make is a powerful choice, especially for teams who prefer a visual approach and want access to a vast library of app connections for their AI agents and automations.
CrewAI
CrewAI
CrewAI focuses specifically on building teams or "crews" of AI agents that work together to handle complex tasks and automate workflows.
It allows different AI agents, each potentially with a specific role or expertise, to collaborate. CrewAI aims to make building these sophisticated multi-agent systems easier.
It works with various AI models (LLMs) and can be run in the cloud, on your own servers (self-hosted), or even locally on your computer. Many large companies reportedly use it.
Features of the Tool
- Multi-Agent Teams: Create "crews" where multiple AI agents collaborate. For example, one agent might research information, another might write a draft, and a third might edit it.
- No-Code & Developer Options: Teams can start building without coding using a management interface, but developers have the flexibility to customize and extend the system. It supports "human-in-the-loop" where people can review or approve agent steps.
- Flexible Hosting: Choose where to run CrewAI – cloud, self-hosted, or local – giving you control over data privacy and compliance.
- Connects to Your Apps: Integrates with existing business tools so your agent crews can interact with the software you already use.
- Tracking Performance: Provides dashboards and analytics to see how well your agent crews are performing, measuring things like quality, speed, and cost savings.
- Open Source Option: CrewAI has an open-source version, allowing developers to modify the platform, contribute back, and benefit from community improvements.
- Templates and Community: Offers templates for common multi-agent tasks (like customer service teams or content creation crews) and provides access to tools and support through its ecosystem.
- Wide Range of Uses: Supports complex tasks across many areas like customer service automation, marketing analysis, financial tasks (like fraud detection or compliance checks), and data analysis.
Case Studies
CrewAI shares that companies use their platform for various complex tasks:
- Customer Service Crews: Deploying teams of agents where one agent understands the customer's issue, another finds relevant information, and a third formulates the final response.
- Marketing Crews: Using agents for tasks like analyzing social media trends, generating personalized campaign ideas, and writing draft content.
- Fintech Crews: Automating processes like checking for fraud, assessing credit applications, or ensuring regulatory rules are followed.
CrewAI is designed for situations where a single AI agent might not be enough, and you need multiple specialized agents to collaborate effectively to complete a complex job.
Its focus on multi-agent systems and flexible deployment makes it a significant player in the 2025 AI agent landscape.
Picking Your AI Agent Tool in 2025
So, after looking into these AI agent platforms – Voiceflow, Relevance AI, n8n, Make, and CrewAI – I learned a lot.
Building my simple alert agent wasn't as easy as I hoped, but exploring these tools showed me many powerful options exist.
Which platform is best? It really depends on what you need and who's building it. Here’s my simple take:
- For great chatbots or voice assistants: Try Voiceflow. It focuses on smooth conversations.
- If your business team wants to automate tasks without code: Look at Relevance AI. It's built for non-technical users.
- If you like coding and visual tools for maximum flexibility: Check out n8n. You get the best of both worlds.
- If you want easy visual building and need to connect lots of apps: Make is a strong choice with many integrations.
- For very complex jobs needing multiple agents working together: Explore CrewAI. It specializes in agent teams.
For my own project – scanning LinkedIn, Twitter, and Reddit – the biggest problem wasn't the agent's smarts, but getting past the websites' login rules and limits.
None of these tools perfectly solve that specific problem easily today, though n8n might offer the most flexibility for a coder to try.
AI agents are getting better fast! But for now, think carefully about your specific needs and choose the tool that fits you best.
FAQs
What are AI agents?
AI agents are autonomous systems that can perceive their environment, process information, and take action to achieve specific goals. They range from simple rule-based bots to advanced AI-powered decision-makers used in industries like finance, healthcare, and e-commerce.
How do AI agents work?
AI agents use technologies like machine learning, natural language processing (NLP), computer vision, and reinforcement learning to analyze data, make decisions, and perform tasks. They follow structured workflows and can integrate with various automation tools.
How are AI agents different from chatbots?
Chatbots are a type of AI agent focused on text-based interactions, often used for customer support. AI agents, on the other hand, can perform more complex tasks like workflow automation, decision-making, and data processing beyond simple conversations.
What are the main types of AI agents?
AI agents can be classified by intelligence level (simple reflex, model-based, goal-based, utility-based, learning agents) or functionality (conversational agents, task-oriented agents, multi-agent systems). They can also be categorized as general-purpose or industry-specific AI agents.