No-Code AI Agent Tools: 10 Platforms to Build Agents Without Coding

How We Chose These No-Code AI Agent Tools

Every tool here lets you build an agent without writing code, or comes close. We looked at four things:

• Ease of start: can a non-developer build something useful on day one?
• Integrations: how many apps the agent can read from and act in.
• Control: approvals, logs and permissions, so the agent does not act unchecked.
• Pricing: whether a free start exists and how usage is charged.

Where a vendor does not show prices on its page, we say so and point you to its pricing page rather than guess.

Quick Comparison of the 10 Platforms

Tool	Best for	Price shown on its page	Integrations
Lindy	Team AI assistant	Free ($50 credits); Team $29.99/mo	1,500+
Gumloop	Company-wide team agents	Free; Pro from $37/mo	100+ MCP integrations
n8n	Technical teams, self-hosting	Starter from €20/mo; Pro from €50/mo	600+ native
Relevance AI	Enterprise go-to-market teams	Talk to sales	1,000+ apps
Zapier Agents	Widest app reach	Free; Pro from $19.99/mo (annual billing)	9,000+ apps
Make AI Agents	Visual, step-by-step control	Free; paid plans from $9/mo	3,500+
Microsoft Copilot Studio	Microsoft-based organisations	$200/pack/month for 25,000 credits	1,500+ connectors
Dify	AI apps and knowledge-based agents	Free; Professional $59/mo; Team $159/mo	Plugin marketplace
Voiceflow	Customer support agents	Free trial; paid pricing by quote	Salesforce, Zendesk, Shopify and more
Pickaxe	Creators and small businesses	Free start; Gold from $29/mo (annual billing)	500+ tools via Zapier, Make, n8n

1.Lindy: Best for a Team AI Assistant

Lindy describes itself as an AI employee for your whole team, working in Slack, iMessage, email and your browser. It suits teams that want recurring jobs done, such as daily briefs, client reports, support replies and recruiting tasks.

Key Features

• Connects to Gmail, Slack, Notion, HubSpot and 1,500+ more apps.
• Comes with 40+ skills, and you can save your own for the team.
• Actions that write or send can wait for your approval.
• Memory is stored in plain files you can read and edit.

Pros and Cons

• Pro: a free plan with $50 in credits and no credit card.
• Pro: approvals keep a person in charge of sensitive actions.
• Con: pricing is credit based (Team is $29.99/mo for 3,000 credits, top-ups $10 per 1,000), so heavy use needs watching.

2. Gumloop: Best for Agents Across a Whole Company

Gumloop calls itself a multiplayer AI agent builder. You describe the work in plain language, and the agent connects to your apps and runs on triggers. IT can control who gets access.

Key Features

• Triggers that watch the web or connected apps for conditions you write in plain English.
• Reusable skills that agents write, refine and share.
• 100+ MCP integrations, including Slack, Gmail, Salesforce, HubSpot, Notion and Google Sheets.
• Works with any AI model, with SSO and audit logging for larger teams.

Pros and Cons

• Pro: built for teams, with IT oversight.
• Pro: model-agnostic, so you are not tied to one AI provider.
• Con: no prices on its homepage, so check the pricing page first.

3. n8n: Best for Technical Teams That Want Control

n8n adds an AI Agent step to its workflow builder. It is more technical than most tools here, so think of it as low-code friendly rather than purely no-code. You can describe an agent to its AI assistant, or build it by hand.

Key Features

• 600+ native integrations, and your own workflows can act as tools for an agent.
• You can see the inputs and outputs of any step and replay a run to find where it broke.
• Set which tools an agent can reach and which actions need a human.
• Self-hosting is available to keep data in-house.

Pros and Cons

• Pro: strong visibility into what the agent did.
• Pro: self-hosting for teams with data rules.
• Con: one agent turn counts as one execution, so agents share your quota with workflows.

4. Relevance AI: Best for Enterprise Go-to-Market Teams

Relevance AI calls itself the home of the AI workforce. It targets enterprise teams in sales, customer success, marketing, HR, support and operations.

Key Features

• Prebuilt agents such as Outbound Prospector, Meeting Scheduler, Deal Reviewer and Proposal Builder.
• Connects to 1,000+ apps, including Salesforce, HubSpot, Gmail, Slack and Gong.
• Human-in-the-loop approvals, audit logs, role-based access, and SOC 2 Type II.

Pros and Cons

• Pro: prebuilt agents get sales teams started fast.
• Pro: a deployment team helps map your first use cases.
• Con: aimed at enterprise, and no prices are shown on its homepage.

5. Zapier Agents: Best for the Widest App Reach

Zapier Agents are AI teammates that work on tasks for you. With Zapier Copilot you can build agents that use your business data and run on command or while you are away.

Key Features

• Access to 9,000+ apps.
• Templates such as a Support Email Agent and a Lead Enrichment Agent.
• Add FAQs, docs and links so an agent can answer from your company knowledge.
• Monitor activity and chat with an agent when needed.

Pros and Cons

• Pro: the largest app list in this guide.
• Pro: a free start, so you can test before paying.
• Con: the page does not show plan details, so check what the free plan includes.

6. Make AI Agents: Best for Visual, Step-by-Step Control

Make lets you build agents on the same visual canvas you use for automations. Its reasoning panel shows each step and decision the agent makes.

Key Features

• 3,500+ pre-built integrations, plus custom ones for any app with an API.
• Rules, manual approvals, and the option to stop an agent at set points.
• One agent can be reused across several workflows.
• A library of ready-made agents, available on all plans.

Pros and Cons

• Pro: you can watch the agent think, which helps with debugging.
• Pro: agents sit alongside fixed logic, so predictable steps stay predictable.
• Con: best for tasks with unstructured input such as messages and documents; simple jobs may not need an agent.

7. Microsoft Copilot Studio: Best for Microsoft-Based Organisations

Microsoft describes Copilot Studio as a platform for creating and managing custom agents, workflows and apps with no code. It suits organisations that already work in the Microsoft ecosystem.

Key Features

• Chat or voice agents that answer questions and guide workflows in natural language.
• 1,500+ pre-built data connectors and MCP server support.
• Publish agents internally, to social channels, or to websites.
• Version control, approval gates and audit logs.

Pros and Cons

• Pro: governance features built for large organisations.
• Pro: choose from default models, custom models, or those in Azure AI Foundry.
• Con: an Azure subscription is required, and credit packs are listed at $200 per pack per month for 25,000 credits.

8. Dify: Best for AI Apps and Knowledge-Based Agents

Dify is a platform for building agentic workflows and retrieval pipelines (RAG, where an AI answers from your own documents) in one workspace. Beginners can start by chatting an agent into existence.

Key Features

• A visual Workflow Studio with building blocks you can test and debug.
• Build an agent by chatting or by configuring it manually, then embed it on a website or use it as a workflow step.
• A Marketplace for model providers, tools, data sources and MCP integrations.
• Cloud hosting, or self-hosting with Docker.

Pros and Cons

• Pro: strong for agents that must answer from your documents.
• Pro: flexible publishing, including hosted apps, API endpoints and embeds.
• Con: the free Community Edition is described as source-available under an Apache-2.0-derivative license, so read the terms before commercial use.

9. Voiceflow: Best for Customer Support Agents

Voiceflow is an agent platform for customer experience teams. It is the most focused tool on this list, so pick it if support is your main job.

Key Features

• Agents that support customers on web, app, WhatsApp, SMS and voice.
• Playbooks that turn support policies into agent processes.
• Tools that let agents act in Salesforce, Zendesk and Shopify.
• Transcripts, analytics, split testing and simulations.

Pros and Cons

• Pro: built around resolution and customer outcomes.
• Pro: testing tools help you improve an agent before and after launch.
• Con: not a general-purpose tool, and no prices are shown on its homepage.

10. Pickaxe: Best for Creators and Small Businesses

Pickaxe is a no-code builder for people with expertise but no coding skills, such as consultants, creators and small businesses. Its distinctive idea is that you can build an agent and sell access to it.

Key Features

• Switch between 50+ AI models, including GPT-4o, Claude, Gemini, Llama and Mistral.
• Add documents, URLs or pasted text as a knowledge base.
• Embed agents on a website, in Slack, WhatsApp or email, or use the API.
• Charge users through Stripe subscriptions and usage billing.

Pros and Cons

• Pro: a way to turn your expertise into a paid AI product.
• Pro: a free start, and 500+ tools reachable through Zapier, Make and n8n.
• Con: the page does not list plan tiers, so check what the free plan includes.

How to Choose the Right No-Code AI Agent Tool

Start with the job, not the tool.

• You want a helper for your team: try Lindy or Gumloop.
• You already automate with Zapier or Make: use their agent features first, since your apps are already connected.
• You work in Microsoft 365 and Azure: look at Copilot Studio.
• You need strict control or self-hosting: look at n8n or Dify.
• Your main job is customer support: look at Voiceflow.
• You want to sell an AI tool: look at Pickaxe.
• You are in a large sales or GTM team: look at Relevance AI.

A good first agent is small and low risk: summarise new support emails, or enrich new leads. Turn on approvals for any action that sends or writes data, then loosen them once you trust the results. If you want to see what building agents involves under the hood, our Hermes Agent masterclass covers it from scratch.

Frequently Asked Questions

What are no-code AI agent tools?

No-code AI agent tools are platforms where you build an AI agent by describing what it should do and connecting your apps, using a visual editor or plain language instead of programming.

Can I build an AI agent without coding?

Yes. Tools such as Lindy, Make, Zapier Agents and Pickaxe are built for non-developers. Some, like n8n and Dify, give you more control but expect more technical comfort.

What is the difference between an AI agent and a chatbot?

A chatbot answers questions. An agent decides the next step and acts in your apps, such as updating a record or sending a draft for approval.

What are the best no-code AI agent platforms?

It depends on the job. Lindy and Gumloop suit team assistants, Zapier Agents and Make suit people who already automate with them, Copilot Studio suits Microsoft organisations, Voiceflow suits customer support, and Pickaxe suits creators. See the comparison table above.

How much does it cost to build a no-code AI agent?

You can start free on several platforms, including Lindy ($50 in credits), Zapier, Make and Pickaxe. Paid examples from the vendors' own pages: Lindy Team is $29.99/mo for 3,000 credits, and Copilot Studio credit packs are $200 per pack per month for 25,000 credits. Other tools do not show prices on their homepages, and plans change, so check each pricing page.

Are no-code AI agents secure?

They can be, if you set them up with care. Limit which tools an agent can use, require approval for actions that send or change data, and review its logs. Many of the tools above offer approvals, audit logs and access controls, and Relevance AI lists SOC 2 Type II. Always confirm the security details you need with the vendor.

Conclusion

The right no-code AI agent tool depends on your job, your team and your apps. If you are unsure, start with a free plan, build one small agent, and keep approvals on. Browse more options in our AI tools directory and compare before you commit.