The 10 best AI agent builders for 2026: No-code, enterprise, and more

Building AI agents no longer requires an engineering degree. The developers behind no-code AI platforms have made it so that AI agent builders and autonomous workflows are within reach of anyone, without a great deal of technical expertise.

This is significant, as it enables different parts of the business to innovate and move faster. Platforms that enable AI agent-building let teams create agents that can reason through problems, orchestrate actions, and handle complex tasks. Not only do the AI agents work quickly, but teams no longer need to compete for development resources for help with AI tools.

Here, we’ll take a deeper look at AI agent builders and how they change how work gets done, along with a selection of top platforms that allow you to build the AI agents you need.

What is an AI agent builder?

An AI agent builder is a platform or framework that enables you to create autonomous AI systems capable of reasoning, planning, and executing tasks with minimal human intervention. Unlike traditional automation tools that follow rigid if-this-then-that rules, AI agent builders give you the power to build AI agents that make autonomous decisions, adapt to changing conditions, and handle workflows that require judgment.

Platforms typically provide a visual builder or no-code interface for designing agent workflows, integration with large language models (LLMs), connections to your existing tools through APIs, and orchestration capabilities that let multiple agents work together on complex tasks. The leading platforms balance ease of use with the flexibility to handle your real-world business scenarios. Open-source frameworks provide another way (like LangChain and CrewAI), although these are built for developers to customize code and allow for greater complexity.

What is a no-code AI agent builder?

A no-code AI agent builder lets non-technical teams create intelligent automations, custom apps, and AI-powered workflows—without writing code. These platforms replace traditional development with visual builders and AI-driven automation, eliminating the need for JavaScript, SQL, or Python.

Business users can build agents that analyze data, generate content, and execute multi-step workflows. The best platforms go a step further by embedding conversational AI, so you can create apps and automations simply by describing what you want—instead of configuring complex rules.

What to look for in an AI agent builder

Selecting the right AI agent builder depends on your team's technical expertise, the complexity of your use case, and how the platform fits within your existing tech ecosystem. Consider the following factors:

10 best AI agent builders and tools in 2026

Here are 10 best AI agent builders in 2026, selected for an emphasis on low- or no-code platforms for teams at different skill levels, and businesses of different sizes.

1. Airtable - Best for no-code agent building for AI-powered workflows

Airtable is an AI workflow platform where teams can build custom agents that think dynamically across your operations. The platform embeds intelligence directly into your data structures. Field Agents can enrich leads with real-time company data, analyze documents to extract structured information, or generate localized content across hundreds of assets—all without leaving your Airtable workspace.

Airtable's Omni is your AI assistant for building. Describe what you need in plain language, and Omni configures the agents, tables, and automations to match your workflows. This approach democratizes agent development for teams that may not have dedicated developers but still need sophisticated automation—including operational teams across marketing, product, human resources, sales, finance, and more.

Key features:

Starting price: Free plan available; Team plan starts at $20/user/month, billed annually

2. Microsoft Copilot Studio - Best for enterprises within the Microsoft ecosystem

Microsoft Copilot Studio brings enterprise-grade agent development to organizations standardized on Microsoft tools. The platform enables agents to interact with Microsoft Graph data, coordinate across Teams channels, or integrate with Dynamics CRM and other Microsoft business applications.

Copilot Studio supports both conversational agents that respond to user prompts and autonomous agents that execute business processes independently. The platform offers SOC 2 compliance, data residency options, and security controls built for regulated industries. The Work IQ intelligence layer tunes agents specifically to your workflows and business context, while multi-agent orchestration routes complex processes to specialized agents when needed.

Key features:

Starting price: Included with Microsoft 365 Copilot Chat; $21/user/month, billed annually, for Microsoft 365 Copilot Business

3. n8n - Best for more technical teams wanting maximum control

For those who do have technical resources and want the option of using an open-source framework or a cloud-based managed platform, n8n offers a lot of flexibility. The platform's execution-based pricing model—charging per workflow run rather than per step—makes it more cost-effective than some alternatives for complex automations.

The self-hosted Community Edition is free with unlimited executions, making it appealing for high-volume use cases or teams concerned about data privacy. Cloud plans provide a managed platform that retains n8n's customization capabilities. The visual workflow builder combines no-code ease with the option to write Python or JavaScript for deeper control, and AI Agent nodes enable complex agent workflows with conditional logic and error handling.

Key features:

Starting price: Free self-hosted Community Edition; Starter plan begins at $20/user/month, billed annually

4. Make - Best for complex visual workflow automation

Make offers a visual automation platform with AI agent capabilities. The platform uses a scenario-based approach where users drag and drop modules onto a canvas to design complex workflows. Make AI Agents integrate directly into the Scenario Builder, combining adaptive AI decision-making with transparent automation.

Make combines visual orchestration and flexibility with branching, conditional logic, routers, and iterators. Make Grid provides a bird's-eye view of your automation landscape, across interconnected workflows. The credit-based pricing model charges per operation rather than per step, often making it more cost-effective than task-based competitors for complex automations.

Key features:

Starting price: Free plan with 1,000 operations/month; Core plan starts at $9/month, billed annually

5. Relevance AI - Best for building AI workforce teams

Relevance AI markets itself as a platform for building an entire "AI workforce" rather than individual agents. The visual platform allows teams to create teams of specialized agents that collaborate on complex tasks—one agent researches, another verifies, and a third generates the final output. This multi-agent approach is designed to mirror how human teams work.

The "Invent" feature lets users describe what they need in plain language, and Relevance AI suggests the tools and implementation steps to build it. Pre-built agent templates for roles like Business Development Representative, Account Research Agent, and Customer Support Agent provide starting points teams can customize, especially if they are attempting to automate entire functions instead of individual tasks.

Key features:

Starting price: Free plan with 200 actions/month; Pro plan starts at $19/month, billed annually

6. Zapier - Best for extensive app integrations

Zapier provides app-to-app automation, and AI agents now bring reasoning capabilities to its integration ecosystem. Zapier Agents can research information, make contextual decisions, and handle tasks that previously required human judgment—all while leveraging Zapier's large catalog of integrations with other business tools.

The platform's strength is breadth over depth. If your workflow requires connecting niche tools or legacy systems, Zapier likely supports them. Zapier Copilot helps teams build, optimize, and troubleshoot automations using AI assistance, while Tables and Forms provide data storage and interface components.

Key features:

Starting price: Free plan with 100 tasks/month; Professional plan starts at $19.99/month, billed annually

7. Relay.app - Best for users prioritizing ease of use

Relay.app is considered a beginner-level AI agent builder. The platform prioritizes clarity and the user experience, making it possible to build functional agents in three steps, without a technical background. Relay includes human-in-the-loop controls to ensure agents don't run unchecked and collaborate with humans on critical decisions.

The platform may appeal to teams that want to adopt AI agents without a steep learning curve or complex infrastructure. Relay supports many common integrations and provides templates that demonstrate real-world agent use cases.

Key features:

Starting price: Free plan available; Professional plan starts at $19/month

8. Gumloop - Best for smaller businesses

Gumloop combines workflow automation with an AI-first approach. The platform uses a node-based system where users drag and drop elements onto a canvas and connect them to create automated workflows. Each node can represent a different tool, LLM, or data source, providing flexibility for complex agent workflows.

The Gummie AI assistant can also build agents for users based on natural language descriptions. The UI supports branching, looping, subflows, and in-canvas AI help.

Key features:

Starting price: Free plan with 2,000 credits/month; Solo plan starts at $30/month, billed annually

9. Stack AI - Best for enterprise production deployment

Stack AI focuses on taking AI agents from prototype to production for organizations that need their agents to scale reliably across departments and with appropriate security controls. The platform provides separate environments for development, testing, and production—ensuring changes don't break live workflows.

Audit logs track every agent action, supporting compliance requirements in regulated industries like healthcare and finance. The visual builder bridges prototyping and production, and users can publish agents as both web apps and APIs for maximum deployment flexibility.

Key features:

Starting price: Limited free plan available; Contact sales for custom enterprise pricing

10. Lindy - Best for SMB daily workflow automation

Lindy is built for non-technical users who need to create AI agents that function as virtual teammates, handling specific daily tasks like inbox triage, follow-ups, lead qualification, and customer communications. Lindy agents maintain context across conversations and can collaborate with each other to handle more complex workflows.

The platform also offers voice calling, enabling AI agents to conduct phone conversations for appointment setting, customer support, or sales outreach. This extends agent capabilities beyond text-based interactions. Lindy works well for teams at smaller businesses that want to deploy agents quickly without extensive setup or technical overhead.

Key features:

Starting price: 7-day free trial; Pro plan starts at $49.99/month

Best AI agent builders compared

How we choose the best AI agent builders

We evaluated platforms across five criteria: conversational AI builders that reduce technical barriers, autonomous agents that execute multi-step workflows, relational databases for complex data, robust integration ecosystems, and enterprise-grade security (ISO, HIPAA, SOC 2). Clear tradeoffs emerged between ease of use and depth of customization, database power versus interface polish, and pricing models that range from per-seat licenses to flat-rate plans and usage-based AI credits. Deployment approaches also varied, with some platforms offering self-hosted control and data ownership, while others prioritize managed cloud convenience.

AI agent builder tools vs. workflow automation tools

The distinction between AI agent builders and traditional workflow automation comes down to decisioning capabilities. Traditional AI workflow automation tools follow a more rigid “if X happens, then do Y” framework. This is reliable in predictable scenarios but less practical for variable situations.

AI agent builder platforms bring reasoning into automation. Agents can analyze context, make judgment calls, adapt to unexpected situations, and handle edge cases that previously required manual intervention. For example, traditional automation might flag customer support tickets containing specific keywords for review. Meanwhile, an AI agent reads the full context, assesses urgency based on sentiment and customer history, and routes the ticket to the most appropriate team member.

Many teams work with both workflow automation and AI agents for different purposes. The best platforms, including Airtable, enable both and allow you to choose the right path for specific use cases.

How does no-code AI agent building relate to workflow automation?

No-code AI agent building extends workflow automation by adding reasoning and autonomy. Traditional automation follows fixed if-then rules, executing only what has been explicitly programmed. AI agents, by contrast, can interpret instructions, decide which actions to take, and complete multi-step workflows independently. They also improve over time by learning from human feedback and real-world outcomes, rather than remaining static.

Build AI agents without any code with Airtable

As a no-code AI workflow platform, Airtable adapts to your team’s unique processes and workflows. Whether you're managing product launches, coordinating marketing campaigns, or tracking customer operations, Airtable enables you to embed autonomous agents directly into your processes.

Using Omni, Airtable's conversational AI builder, you can create complete agent workflows simply by describing what you need. Omni understands your request and configures the tables, fields, automations, and Field Agents to match. Field Agents then work at scale across your records—enriching data, analyzing documents, generating content, or conducting web research when needed.

Explore Airtable's app-building platform and see how AI agents can accelerate your most important workflows.