11 best no-code AI agent builders to automate your workflows

A no-code AI supplier builder lets you create AI agents done a ocular interface without penning code. Teams usage them to automate activity for illustration income follow-ups, support triage, research, and reporting without needing an technologist for each workflow.

Here are 11 no-code and low-code AI supplier builders compared by usage case, learning curve, and price:

1. Lindy

You picture what you want the supplier to do successful plain English, and Lindy builds the workflow. It’s the easiest level connected this list, pinch 1,000+ templates and a point-and-click interface.

Small teams and founders usage it for regular operations: email triage, almanac management, gathering notes, lead follow-up, CRM updates.

Lindy pros

• Plain-English setup – the easiest level connected this database – you conscionable picture the task, and Lindy assembles the workflow, nary drag-and-drop aliases node editing needed.
• Security for a beginner tool – SOC 2 Type II certified, meaning an independent audit has verified its information information controls, pinch HIPAA and GDPR support.
• 1,000+ templates – pre-built workflows for communal tasks truthful you don’t commencement from scratch.

Lindy cons

• Struggles pinch analyzable workflows – automations pinch galore branching paths thin to get unreliable past 5 aliases six steps. Node-based builders for illustration n8n aliases Gumloop grip conditional logic better.
• No client-facing deployment – nary white-labeling aliases resale options, truthful agencies and consultants can’t package agents for clients.
• Credits don’t rotation over – unused credits expire astatine the extremity of each month.

Lindy pricing

Lindy offers a 7-day free trial. After that, Plus is $49.99/month, Pro is $99.99/month, and Max is $199.99/month.

Most tasks costs 1-3 credits connected basal models. Complex tasks for illustration sound calls aliases heavy web investigation usage astir 10 credits each. Credits don’t rotation complete period to month.

2. Dust

Dust connects AI agents to your company’s soul devices (Notion, Slack, Google Drive, GitHub, Intercom) truthful they tin reply questions and return actions based connected your existent data, not conscionable what a nationalist exemplary knows.

For example, an worker could inquire a Dust supplier astir a merchandise policy, and the supplier could propulsion the reply from Notion, Slack threads, and Google Drive documents.

Dust pros

• Grounded successful your data – agents propulsion from your existent institution knowledge crossed aggregate tools, not conscionable a generic model.
• 20+ exemplary choices – supports OpenAI, Anthropic, Google, Mistral, and DeepSeek pinch nary models locked down higher tiers.
• Non-technical users tin tally it – 1 of the fewer platforms connected this database that doesn’t request developer thief for day-to-day use.

Dust cons

• Internal knowledge only – Dust focuses connected answering questions and taking actions from soul data. Outbound automation aliases multi-agent income workflows aren’t its spot (Relevance AI, introduction 8, is amended for that).
• Credit-based billing – research-heavy aliases tool-heavy workflows pain done credits faster than simpler tasks, making costs harder to predict.
• Per-user pricing – costs standard pinch headcount, which adds up accelerated erstwhile rolling retired crossed departments.

Dust pricing

Dust uses a credit-based system. A free tier gives you 500 life credits. Pro costs $30/user/month pinch 8,000 credits per month. Max costs $150/user/month pinch 40,000 credits per month.

Tool calls and token usage some devour credits, truthful research-heavy aliases tool-heavy workflows pain done them faster than simpler tasks.

3. MindStudio

MindStudio lets you build, deploy, and waste AI agents without code. It connects to 200+ AI models (GPT, Claude, Gemini, and open-source) done a azygous interface, truthful you tin switch models aliases trial alternatives without rebuilding anything.

MindStudio pros

• 200+ models successful 1 interface – switch aliases comparison models without rebuilding workflows aliases managing abstracted API keys.
• Built-in monetization – pricing configuration, costs management, and supplier sharing fto you complaint users for supplier runs directly.
• Flexible deployment – deploy to web, mobile, aliases embed wrong different apps. SOC 2 certified. Teams astatine TikTok, Microsoft, Adobe, and ServiceNow usage it.

MindStudio cons

• Overwhelming astatine first – 200+ models and aggregate deployment options mean there’s a batch to study earlier you find your setup.
• Usage fees connected apical of subscription – “unlimited runs” intends nary headdress connected supplier runs, but each tally uses exemplary calls billed separately arsenic usage fees.
• Code needed for precocious setups – building workflows, connecting models, and deploying each activity without code, but civilization API integrations aliases logic extracurricular the ocular builder require code.

MindStudio pricing

Its free tier includes 1 supplier and 1,000 runs per month. Individual is $20/month (or $16/month billed yearly) pinch unlimited agents and unlimited runs. Business is civilization pricing and adds squad workspaces, SSO, audit logs, and self-hosting options.

“Unlimited runs” intends there’s nary headdress connected really galore times you tin tally your agents, but each tally incurs exemplary calls billed separately arsenic usage fees.

4. Zapier Agents

Zapier is the astir wide utilized no-code automation platform, pinch 9,000+ app integrations. Its modular automations travel fixed steps you specify successful advance.

Zapier Agents, added successful 2025, activity differently: you springiness the supplier a goal, and it decides which connected actions to use. Zapier besides added AI Steps (LLM calls wrong immoderate automation) and MCP support (a modular that lets outer AI models for illustration Claude aliases ChatGPT usage Zapier actions).

Zapier pros

• 9,000+ integrations – the largest app room of immoderate level connected this list, and your existing Zapier connections transportation over.
• Familiar interface – if your squad already uses Zapier, adding agents doesn’t mean learning a caller platform.
• Free-agent tier included – each Zapier scheme includes 400 supplier activities per period astatine nary other cost.

Zapier cons

• Per-task pricing adds up – a 5-step workflow uses 5 tasks per run, truthful analyzable workflows get costly fast.
• Agent features are newer – Zapier Agents launched successful 2025 and are still little mature than dedicated supplier builders for illustration Lindy aliases Voiceflow.
• Separate billing meters – supplier activities and modular Zap tasks are measured separately, truthful moving an supplier that besides triggers Zaps intends search 2 usage counters.

Zapier Agents pricing

The halfway level has a free tier (100 tasks/month, 2-step limit). Professional starts astatine $19.99/month (annual) for 750 tasks. Team is $69/month for up to 25 users.

Every Zapier scheme includes a free type of Zapier Agents pinch 400 supplier activities per month. The Agents Pro add-on costs $33/month and bumps that to 1,500 activities. Agent activities are measured separately from modular Zap tasks.

5. Chatfuel

Chatfuel builds AI-powered income and support agents for WhatsApp, Facebook Messenger, and Instagram DMs. Its AI agent, called Fuely AI, runs connected OpenAI’s models and handles lead qualification, assignment booking, merchandise recommendations, FAQ answering, and live-chat handoffs.

Small businesses and ecommerce teams that talk to customers mostly done societal channels are the main audience. You group up agents utilizing templates and ocular travel builders. Chatfuel connects to Stripe, Shopify, Calendly, Google Sheets, and Zapier.

Chatfuel pros

• Social-first – purpose-built for Instagram, WhatsApp, and Messenger, wherever galore mini businesses already talk to customers.
• AI income supplier included – Fuely AI handles lead qualification, merchandise recommendations, and assignment booking connected the AI Pro plan.
• No coding needed – group up agents pinch templates and a ocular travel builder.

Chatfuel cons

• Messaging channels only – nary voice, civilization web chat, aliases back-office automation. Voiceflow aliases Botpress handles broader conversational usage cases, while Lindy aliases n8n is amended for soul workflows.
• No free imperishable tier pinch AI – Chatfuel Light is free, but doesn’t see AI features.
• Limited to OpenAI models – dissimilar platforms that support aggregate providers, Chatfuel runs connected OpenAI only.

Chatfuel pricing

Chatfuel has 2 plans. Chatfuel Light is free and includes basal automations, a shared inbox, the ocular travel builder, and templates. AI Pro is $49/month, billed annually, and includes the AI income manager, AI knowledge base, AI-powered automations, broadcasts, funnels, and precocious interaction tools.

Usage limits use connected some plans. If your usage grows beyond the scheme limits, Chatfuel’s squad tin thief you find the correct setup.

6. Voiceflow

Voiceflow focuses wholly connected conversational agents. Its ocular designer covers speech flows, LLM prompts, knowledge guidelines lookups, and handoff logic (rules for erstwhile the supplier should manus disconnected the speech to a human) successful a azygous canvas.

You tin deploy agents to web chat, voice, WhatsApp, and IVR (the automated telephone strategy that routes callers done paper options).

Voiceflow pros

• Chat and sound successful 1 platform – design, test, and deploy conversational agents crossed web, voice, WhatsApp, and IVR from a azygous canvas.
• Model-agnostic – supports GPT, Claude, Gemini, Llama, and Grok, truthful you’re not locked into 1 provider.
• Strong agency support – white-labeling, multi-client workspace management, and customer handoff devices make it a bully fresh for agencies building agents for clients.

Voiceflow cons

• Conversation-only – if your usage lawsuit doesn’t impact a chat aliases sound channel, for illustration back-office processing aliases soul ops, a different level connected this database will fresh better.
• Pricing not public – Voiceflow doesn’t people scheme prices connected its website. Agencies tin motion up pinch usage-based billing; businesses are asked to book a demo.
• Steeper than prompt-first tools – immoderate API familiarity helps, particularly for civilization integrations and precocious flows. Compared to Botpress (entry 7), Voiceflow has a gentler learning curve and stronger creation tools, but Botpress offers zero-markup LLM billing and a much developer-friendly toolkit.

Voiceflow pricing

Voiceflow doesn’t people scheme prices connected its website. Agencies and partners tin motion up straight pinch a free proceedings and usage-based billing. Businesses are asked to book a demo for pricing.

The free scheme includes a one-time in installments assistance that doesn’t renew. Paid plans (Pro, Business, Enterprise) see monthly in installments allotments that reset each billing cycle. Credits are consumed erstwhile agents make AI responses, nonstop messages, aliases make telephone calls. You tin alteration car top-ups truthful agents don’t extremity mid-month. Editor seats are a paid add-on; viewers are free connected each plans.

7. Botpress

Botpress gives you a ocular travel builder for LLM-powered chat agents, pinch deployment crossed web, WhatsApp, Slack, Instagram, and Messenger. It includes a built-in knowledge guidelines for RAG-style mobility answering (the supplier pulls answers from your documents) and charges for LLM usage astatine the provider’s existent costs pinch nary markup.

The level useful for everyone from solo freelancers building chatbots for clients to endeavor support teams.

Botpress pros

• Zero-markup LLM billing – exemplary usage is charged astatine the provider’s existent cost, pinch nary level markup connected top.
• Developer toolkit (ADK) – alongside the ocular studio, you tin operation ocular building pinch codification for precocious customization.
• Wide transmission support – deploy crossed web, WhatsApp, Slack, Instagram, Messenger, and Telegram from 1 build.

Botpress cons

• Steeper learning curve – Botpress exposes much developer-oriented controls than Voiceflow, which makes it much elastic but harder for beginners to prime up.
• Chat-focused – strongest for chat-based usage cases. Back-office automation and soul workflows aren’t its focus.

Pricing building changed recently – Botpress restructured pricing successful May 2026, and older workspaces enactment connected a different billing model, which tin origin confusion.

Botpress pricing

Botpress changed its pricing building successful May 2026. If you created a workspace aft that date, you’re connected the caller conversation-based plans:(100 conversations/month, 1 seat, 3 agents), Plus (~$150/month, 250 conversations, 3 seats), and Team (~$750/month, 1,500 conversations, unlimited seats).

Older workspaces enactment connected the erstwhile model, which bills AI usage separately.

8. Relevance AI

Relevance AI lets you build teams of AI agents that activity together. One supplier researches a prospect, a 2nd writes personalized outreach, a 3rd handles scheduling. That replicates the benignant of multi-step income and marketing AI agent workflows that would different request respective people.

Growth-stage companies moving multi-step outbound, imaginable research, and support triage are the main users. The level offers 400+ supplier templates and connects to Salesforce, HubSpot, and Slack.

Relevance AI pros

• Multi-agent collaboration – build teams of master agents that manus disconnected activity to each other, replicating afloat departmental workflows.
• 400+ templates – pre-built supplier setups for sales, marketing, support, and ops.
• BYO API keys – paid plans fto you bring your ain exemplary API keys, reducing the vendor in installments cost.
• SOC 2 Type II and GDPR compliant – meets the information and privateness standards that endeavor buyers typically require.

Relevance AI cons

• Unpredictable costs – the dual billing exemplary (Actions + Vendor Credits) makes monthly walk difficult to forecast, particularly arsenic usage grows.
• Steeper than advertised – the level has a existent learning curve contempt its “no-code” label.
• Multi-agent complexity – for simpler workflows, a azygous supplier pinch a fixed series is often easier to trial and cheaper to tally than a multi-agent setup.

Relevance AI pricing

Relevance AI has a free tier pinch 200 actions per month. Pro is $19/month (annual billing, 30,000 actions/year). Team is $234/month (annual billing, 84,000 actions/year). Enterprise is custom.

Billing has 2 meters: Actions (what the agents do) and Vendor Credits (the costs of the connection models they use, passed done astatine zero markup). Paid plans fto you bring your ain API keys to trim the Vendor Credit cost.

9. Gumloop

Gumloop is simply a node-based ocular builder for system business workflows successful regulated industries. It includes LLM steps, conditional branching (if-then logic), information transformations, and 150+ integrations pinch devices for illustration Google Workspace, Slack, and Jira.

Gumloop pros

• Compliance controls – the Enterprise scheme includes audit logs, role-based entree control, and private-cloud deployment for teams that request to meet SOC 2, GDPR, aliases HIPAA requirements.
• Well-funded – raised $50 cardinal successful a Series B led by Benchmark successful March 2026, pinch Shopify, Ramp, and Instacart among its customers.
• MCP support – connects to outer AI models and devices done MCP (Model Context Protocol, a modular for connecting AI models to outer tools), positive civilization API connections.

Gumloop cons

• Third-party information costs – immoderate providers that Gumloop connects to, for illustration Hunter aliases ZoomInfo, complaint their ain fees connected apical of your Gumloop scheme if your workflows dangle connected information enrichment.
• Credit-per-step billing – each measurement successful a workflow uses credits, truthful longer, much analyzable workflows costs much per run.
• API familiarity helps – the node-based builder is ocular but useful champion for users comfortable pinch APIs and information flows.

Gumloop pricing

Gumloop has a free tier pinch 2,000 credits per month. Pro starts astatine $37/month pinch 20,000+ credits (scales pinch usage). Enterprise is custom.

Each measurement successful a workflow uses credits, truthful longer, much analyzable workflows costs much per run. Gumloop restructured its pricing successful early 2026, combining its Solo and Team plans into a azygous Pro tier.

10. n8n

n8n is simply a source-available (open-source pinch immoderate restrictions connected resale) workflow automation level pinch a ocular node editor and 500+ integrations.

Its AI Agent node is built connected LangChain, a celebrated model for connecting connection models to devices and data. You tin group up different AI supplier types, springiness them entree to devices for illustration email, CRMs, aliases databases, and link them to knowledge sources truthful they tin look up accusation earlier responding.

n8n fits method teams that want afloat control. You tin self-host the workflow motor and support much of the workflow information connected your ain servers, though information still flows to immoderate outer exemplary providers aliases services you link to.

n8n pros

• Self-hosting option – tally the workflow motor connected your ain servers for free, pinch unlimited executions, unlimited users, and nary per-seat fees.
• 500+ integrations – connects to much apps than astir agent-specific platforms, and you tin adhd civilization API connections for thing not built in.
• Full workflow control – branching, loops, civilization codification nodes, and LangChain-based AI agents springiness you much elasticity than immoderate no-code instrumentality connected this list.

n8n cons

• Low-code, not no-code – you’ll often request JavaScript aliases Python for civilization logic, and the level assumes you cognize really APIs work. Business users without method support will quickly get stuck.
• Self-hosting requires maintenance – moving your ain lawsuit intends managing updates, uptime, and infrastructure. Data still goes retired to immoderate outer exemplary providers aliases services you link to.
• Execution-based pricing connected cloud – a 5-step workflow uses 1 execution, but costs tin beryllium difficult to foretell astatine standard if you tally galore workflows frequently.

n8n pricing

Self-hosting is free pinch unlimited executions and users. The unreality type starts astatine astir $24/month for 2,500 executions (one execution = 1 afloat workflow run, sloppy of the number of steps).

Pro is $50/month for 10,000 executions. Enterprise starts astatine $800/month. All unreality plans see unlimited users and workflows.

11. Langflow

Langflow gives you a drag-and-drop canvas wherever you tin link nodes for connection models, prompts, memory, information retrievers (components that propulsion accusation from documents aliases databases), and tools. You build the travel visually, past deploy it aliases export the code.

It useful pinch GPT, Claude, Gemini, and open-source models, truthful you’re not locked into 1 provider.

Langflow pros

• Open-source and free to self-host – nary licensing fees, afloat entree to the codebase, and complete power complete your deployment.
• Model-agnostic – useful pinch each awesome LLM supplier and open-source models, truthful you tin move without rebuilding.
• Visual prototyping – developers and AI engineers tin research supplier and RAG (retrieval-augmented generation) architectures connected a drag-and-drop canvas earlier committing to code.

Langflow cons

• Developer required – Langflow shows the underlying LangChain model straight successful the interface (terms for illustration “chains,” “agents,” “retrievers”), which tin confuse non-technical users.
• Production infrastructure is connected you – self-hosting is free, but getting a travel into accumulation takes existent infrastructure work. Your costs are driven by LLM APIs, vector databases, and hosting.
• Ownership uncertainty – DataStax acquired Langflow successful 2024, and IBM announced plans to get DataStax successful early 2025, which whitethorn impact the platform’s roadmap and hosting options.

Langflow pricing

Langflow is open-source, truthful self-hosting is free. Managed hosting done 3rd parties starts astir $16/month.

Your existent costs travel from LLM API usage, vector database hosting, and infrastructure, which are each abstracted from the Langflow level itself.

What are the building blocks of a no-code AI agent?

Every level supra wraps the aforesaid basal building successful a different interface. You’ll spot the aforesaid 3 pieces successful examples of AI agents crossed customer support, sales, marketing, and ops:

• The model is the connection exemplary (GPT, Claude, Gemini, aliases an open-source alternative) that does the thinking. Bigger models grip analyzable reasoning for illustration investigation and writing. Smaller models are cheaper and accelerated capable for repetitive tasks for illustration routing aliases classification.
• The prompt is the group of instructions that tells the supplier what it is, what it should do, and wherever to stop. A clear punctual pinch edge-case rules (“if X happens, do Y”) is what keeps an supplier connected track.
• The tools are the apps and services the supplier tin telephone on: nonstop an email, update a CRM record, look up a database, hunt the web. Most platforms connection hundreds of built-in connections.

Production agents usually besides request a trigger (what kicks disconnected the workflow, for illustration an incoming email aliases a schedule), memory (context the supplier carries betwixt steps aliases conversations), and guardrails (rules that forestall the supplier from taking actions it shouldn’t, for illustration spending supra a fund aliases contacting the incorrect person).

How do you build a no-code AI agent?

Once you cognize what the pieces are, building an supplier follows the aforesaid steps crossed all AI supplier builders, whether no-code, low-code, aliases code-first:

1. Pick 1 workflow. Start pinch a single, repeatable task, not an full department. Email triage, lead scoring, aliases summons routing are bully first picks.
2. Choose the model. Match the connection exemplary to the job. Research and long-form penning usually request a much tin reasoning model. High-volume routing aliases classification tin usage a smaller, cheaper one.
3. Write the prompt. Give the supplier a domiciled (“You are a support triage agent”), a extremity (“Classify incoming tickets by urgency and topic”), and rules for separator cases (“If the summons mentions billing fraud, escalate to a quality immediately”).
4. Connect the tools. Add only the integrations the workflow needs. Every other relationship is different point that tin break.
5. Have a quality reappraisal the first runs. Let personification cheque the agent’s decisions earlier it acts connected its own. Once accuracy is consistent, you tin trim really often you review.
6. Monitor aft launch. Track costs, errors, and separator cases moreover aft the supplier is moving well. Agents tin break erstwhile integrations update, aliases erstwhile they deed scenarios the punctual didn’t cover.

Building a civilization supplier gives you afloat power complete the workflow, but it besides intends choosing models, configuring tools, testing for failures, and monitoring usage.

Teams that request a ready-made master alternatively than a builder tin effort Hostinger Agents, which connection pre-built agents for SEO, writing, marketing, sales, support, legal, and strategy. You picture the task, and the supplier handles it, pinch nary models to choose, nary prompts to write, and nary integrations to group up.

The tradeoff is little workflow customization than platforms for illustration n8n, Gumloop, aliases Lindy.

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