If you want to build an AI agent but don't have the technical expertise for a framework like LangGraph, Haystack, or Hugging Face, you’re probably looking for an easy-to-use platform that helps you ship fast.
This article focuses on low-code and no-code agent builders - platforms that let you build and run agents without coding expertise:
- CrewAI – for structured multi-agent coordination with built-in roles.
- Lindy.ai – for non-technical teams automating business tasks with minimal setup.
- n8n – for flexible automation workflows with AI integrations and extensive customization options.
- Langflow – for visually building AI-centric workflows quickly.
Want to publish and monetize the agents you've built? Apify Store is a thriving marketplace of web scraping, automation, and AI agent tools where you can make your agents discoverable and earn money.
Best AI agent builders in 2025 (for now)
| 1. CrewAI | 2. Lindy | 3. n8n | 4. Langflow | |
|---|---|---|---|---|
| Orchestration | Multi-agent hierarchy with roles and task delegation | Trigger-action model with simple logic flows | Modular, drag-and-drop workflow builder with logic branches | Visual builder with component-based workflows |
| Memory | Abstracted task memory per agent; no cross-task persistence | Session-based task memory with limited developer visibility | Workflow-level memory management | Task-level memory management |
| Integrations | Native and custom integrations via LangChain plugins and APIs | 200+ integrations; connects easily to Gmail, Slack, Zoom | 400+ integrations including LangChain and custom code | Integrations with language models, databases, APIs |
| Developer experience | Python-based, low-code; template starter kits available | No-code; drag-and-drop interface tailored for business users | Low-code/no-code with optional JavaScript/Python coding | Low-code, Python-based visual customization |
| Best for | Structured multi-agent teams with predefined roles | Business teams automating internal tasks fast | Teams automating complex workflows with flexible customization | Rapid prototyping of AI applications and agentic systems |
CrewAI
CrewAI is a developer-first, open-source framework for building structured AI agents and multi-agent workflows using Python. It allows users to define “Agents” and “Crews” (teams of agents) with specific roles, goals, and collaboration logic, making it ideal for orchestrating complex business processes.
While primarily code-driven, CrewAI also offers a “UI Studio” for building workflows in a more low-code style, but its core ecosystem remains heavily developer-oriented. CrewAI supports popular LLMs like OpenAI, Anthropic, and Meta’s Llama, connects to vector databases like Chroma, and provides starter templates to help developers quickly spin up structured AI agent teams.
Pricing: After a limited free trial, monthly billing begins at $99/month (basic version). Its next pricing tier is $6,000/year (billed annually).
Lindy.ai
Lindy is a no-code platform ideal for non-technical teams. You can create, modify, and deploy AI assistants (called Lindies) through an intuitive drag-and-drop interface. The simplicity of its builder and extensive integrations make it easy to automate tasks like CRM updates, meeting scheduling, and internal communications.
Pricing: After a limited free trial, pricing starts at $49.99/month. You can also add on more tasks, which are jobs that each Lindy executes for only an extra $10 per 1,000 tasks.
n8n
n8n is a flexible workflow automation tool that caters to both technical and non-technical users. It offers a visual drag-and-drop interface for building workflows, while also allowing for JavaScript and Python scripting for advanced customization. n8n supports over 400 integrations, including LangChain, enabling the creation of AI-driven workflows. It can be deployed both in the cloud and on-premise, providing teams with flexibility and control.
Pricing: n8n offers a free self-hosted version, which makes it cost-effective for teams comfortable with managing their own infrastructure. For those preferring a managed solution, n8n Cloud plans start at €20/month for 2,500 workflow executions, with higher tiers available for increased usage.
Langflow
Langflow is a low-code, Python-based platform designed for building AI applications, particularly those involving single-agent systems and retrieval-augmented generation (RAG). It features an intuitive drag-and-drop interface that lets you visually construct AI workflows by connecting various components such as language models, databases, and APIs. Langflow integrates easily with LangChain and supports a wide range of AI frameworks, including OpenAI, Hugging Face, and TensorFlow.
Pricing: Langflow is completely open-source and free to use. There are no official paid tiers or managed versions provided directly by Langflow, which makes it ideal for teams comfortable managing their own deployment and infrastructure.
Which AI agent builder should you use?
- Choose CrewAI for structured teams of AI agents with predefined roles.
- Pick Lindy if your non-technical team wants easy business task automation.
- Select n8n if you require flexible workflows with extensive integration and customization capabilities.
- Opt for Langflow if rapid prototyping of AI workflows and single-agent applications appeals to you or your team.
Want to publish and monetize your agents?
All of the agent builders we've covered here are great for creating your own agentic solutions, but none offer monetization options. Thankfully, they all integrate with Apify - a powerful platform combining web scraping, browser automation, and AI agent capabilities that hosts a marketplace (Apify Store) where you can publish and monetize your creations.
Even on a free plan, you can make what you've built public on Apify Store. Let people discover your agents and earn income from paying users.
Learn more about AI agents
- What are AI agents? - The Apify platform is turning the potential of AI agents into practical solutions.
- 5 open-source AI agents on Apify that save you time - These AI agents are practical tools you can test and use today, or build on if you're creating your own automation.
- How to build an AI agent - A complete step-by-step guide to creating, publishing, and monetizing AI agents on the Apify platform.
- AI agent orchestration with OpenAI Agents SDK - Learn to build an effective multiagent system with AI agent orchestration.
- AI agent workflow - building an agent to query Apify datasets - Learn how to extract insights from datasets using simple natural language queries without deep SQL knowledge or external data exports.
- How to use MCP with Apify Actors - Learn how to expose over 4,500 Apify Actors to AI agents like Claude and LangGraph, and configure MCP clients and servers.
- 11 AI agent use cases (on Apify) - 10 practical applications for AI agents, plus one meta-use case that hints at the future of agentic systems.
- What is Anthropic's Model Context Protocol (and why does it matter)? - MCP offers a way to simplify AI’s external data connections and address a key industry challenge.
- 10 best AI agent frameworks - 5 paid platforms and 5 open-source options for building AI agents.
- AI agent architecture in 1,000 words - A comprehensive overview of AI agents' core components and architectural types.
- 7 real-world AI agent examples in 2025 you need to know - From goal-based assistants to learning-driven systems, these agents are powering everything from self-driving cars to advanced web automation.
- LLM agents: all you need to know in 2025 - LLM agents are changing how we approach AI by enabling interaction with external sources and reasoning through complex tasks.
- 7 types of AI agents you should know about - What defines an AI agent? We go through the agent spectrum, from simple reflexive systems to adaptive multi-agent networks.
