“Best no-code AI agent builders” is a category that barely existed two years ago — and in 2026 it’s crowded, confusing, and full of pricing traps. Lindy, Gumloop, Relevance AI, Relay.app, Zapier Agents, Make AI Agents, n8n: they all promise agents without code, but they mean very different things by it, bill you in incompatible units, and take anywhere from 10 minutes to a full afternoon to produce your first working agent.
So we did the obvious thing: we built the same simple agent in each platform — a lead-qualification agent that reads a new lead, researches the company, scores fit, and drafts a personalized outreach email — and recorded build time, free-plan limits, template quality, and where each one tripped us up. Here’s what we found.
Quick Answer
| Builder | Entry price (Oct 2026) | Free plan | Build time (our test) | Best for |
|---|---|---|---|---|
| Lindy | ~$49.99/mo | Trial, no permanent free tier | ~12 min | Fastest path to a working assistant-style agent |
| Gumloop | $37/mo | 5,000 credits/mo | ~20 min | Teams wanting a visual multi-agent canvas |
| Relevance AI | $19/mo | 200 actions/mo | ~25 min | Multi-agent “workforce” setups |
| Relay.app | $19/mo (annual) | 200 steps + 500 AI credits/mo | ~18 min | Human-in-the-loop approvals built in |
| Zapier Agents | $33.33/mo (annual) add-on | 400 activities/mo | ~15 min | Plain-English agents on 9,000+ apps |
| Make AI Agents | From $9/mo (included) | 1,000 credits/mo | ~30 min | Auditable agent flows at the lowest cost |
| n8n | Free self-host; Cloud from €20/mo (annual) | Free self-hosted, unlimited executions | ~45 min | Technical teams wanting control |
Bottom line: If you want an agent today with zero learning curve, Lindy or Zapier Agents. If you want the best value and don’t mind a visual builder, Make. If approvals and compliance matter, Relay.app. If you want to own your infrastructure, n8n.
The Test Agent: What We Built
Every platform got the same spec, built from a blank start:
Lead Qualifier Agent: When a new lead arrives (form or manual trigger), research the company online, score fit 1–10 against our ICP (B2B SaaS, 20–500 employees), and draft a personalized outreach email saved as a draft — never sent automatically.
We timed the build from signup to a working test run, noted every point of friction, and recorded what the free plan actually allows.
1. Lindy — Fastest to a Working Agent
What it is: Lindy is built around autonomous AI agents for everyday work — email triage, meeting scheduling, lead qualification — with a zero-code, conversational setup. You describe what you want in plain language and Lindy configures the agent.
2026 pricing (verified): No permanent free tier — a 7-day free trial leads into paid plans: Plus ~$49.99/month, Pro ~$99.99/month (adds computer use), Max ~$199.99/month, with custom Enterprise (SSO, HIPAA, audit logs). Per-user pricing plus a shared credit pool on some tiers.
Our build: ~12 minutes. The fastest of the seven. We described the lead qualifier in a chat-like setup flow, connected Gmail and a form source, and Lindy proposed the research → score → draft-email sequence itself. Two small corrections to the scoring criteria and it ran cleanly.
Template gallery: Strong for common business roles — SDR, executive assistant, recruiter, support triage. Templates are genuinely pre-built agents, not just workflow sketches.
Pros:
- Fastest time-to-working-agent in our test
- Conversational setup — no canvas to learn
- Good native handling of email/calendar-style work
- Approvals built in before anything gets sent
Cons:
- No real free tier — you’re paying from day one after the trial
- Less visual control over the agent’s internal logic than canvas builders
- Per-user pricing adds up for teams
Best for: Founders and operators who want an agent handling inbox/lead-style work this afternoon, not a platform to learn.
Mini tutorial — build our test agent in Lindy:
- Start the trial and choose “Create an agent” → describe it: “When a new lead comes in, research their company, score fit 1–10 for B2B SaaS 20–500 employees, and draft a personalized outreach email.”
- Connect your lead source (form, CRM, or Gmail) when Lindy asks.
- Review the proposed steps — adjust the scoring criteria in plain language (“score 8+ only if they have a pricing page”).
- Set the email step to draft only (never auto-send on a first build).
- Run a test lead through it, read the draft, tighten the instructions, then activate.
2. Gumloop — Best Visual Multi-Agent Canvas
What it is: Gumloop is a visual canvas for building agents and multi-agent workflows that run inside Slack, Teams, and Gmail. Think n8n-style builder with deeper native LLM integration and team-friendly billing.
2026 pricing (verified): Free: 5,000 credits/month (generous). Pro from $37/month with 20,000+ credits/month, unlimited seats. Enterprise custom. Credits cost roughly $0.005 each at scale.
Our build: ~20 minutes. The canvas clicked quickly — drag the lead input, a web-research node, an AI scoring node, and an email-draft node. Multi-agent handoffs (researcher agent → scorer agent → writer agent) were the cleanest of any platform we tested. The Gummie AI assistant helped when we got stuck on node configuration.
Template gallery: Large and practical, especially for GTM and ops teams — lead enrichment, meeting prep, content workflows.
Pros:
- Generous free tier (5,000 credits/month is genuinely usable)
- Flat team-friendly pricing — unlimited seats on Pro
- Best multi-agent orchestration UX in this list
- Agents run where work happens (Slack, Teams, Gmail)
Cons:
- Credit burn on AI-heavy flows is less transparent than we’d like — monitor usage
- Smaller integration catalog than Zapier/Make
- Newer platform; docs trail the leaders
Best for: Teams that want one shared platform for agents across marketing, sales, and ops — and predictable team billing.
Mini tutorial — build our test agent in Gumloop:
- Sign up free, open a new flow, and add a lead input node (webhook or form).
- Add a web research node pointed at the company domain; add an AI node with your scoring prompt (“Score 1–10 for B2B SaaS, 20–500 employees. Explain the score in one line.”).
- Add a second AI node for the outreach draft, feeding it the research + score.
- Set the email node to create draft (Gmail/Outlook) — not send.
- Hit Run with a test lead, watch the trace, adjust the prompts, and publish.
3. Relevance AI — Best for Multi-Agent “Workforces”
What it is: Relevance AI lets you build teams of collaborating agents — “AI workforces” — with pre-built agent roles, a visual builder, and a knowledge base. Strongest when one agent isn’t enough.
2026 pricing (verified): Free: 200 actions/month + $2 vendor credits. Pro $19/month: 2,500 actions/month + ~$20 vendor credits. Higher tiers scale to ~$234/month. Vendor credits (LLM/third-party tool costs, passed through at cost) roll over while subscribed, and you can bring your own API keys to bypass them.
Our build: ~25 minutes. The pre-built agent roles (researcher, scorer, writer) mapped neatly onto our spec, and wiring them into a collaborating team felt natural. The actions/vendor-credits split took a few minutes to understand — it’s the most complex billing here.
Template gallery: Excellent for sales, marketing, and support roles — the pre-built agent library is the product’s standout feature.
Pros:
- Pre-built agent roles save real setup time
- True multi-agent collaboration, not just chained steps
- BYOK option controls costs at volume
- SOC 2 Type II, GDPR, SSO on higher tiers
Cons:
- Dual-meter billing (actions + vendor credits) is confusing at first
- Overkill if you just need one simple agent
- Knowledge-base setup adds time for grounded agents
Best for: Teams building coordinated agent systems (SDR team, support team) rather than one-off automations.
4. Relay.app — Best Human-in-the-Loop
What it is: Relay.app blends AI steps, visual logic, and human approval checkpoints into one builder. Every plan includes all features and all 100+ integrations — the tiers differ only in volume.
2026 pricing (verified): Free: 200 steps + 500 AI credits/month. Professional $19/month (annual): 750 steps + 5,000 AI credits. Team $69/month (annual): 10 users, 2,000 steps + 5,000 AI credits. Credit bundles available (5,000 credits for $11/month annual).
Our build: ~18 minutes. The drag-and-drop builder was the gentlest canvas here, and the approval step — pause before the email draft goes anywhere — was a first-class citizen, not a workaround. For our “never send automatically” requirement, Relay was the most natural fit.
Template gallery: Solid, with good coverage of approval-gated workflows (hiring, procurement, content review).
Pros:
- Human-in-the-loop is core, not bolted on
- All features on every plan — no tier lockouts
- Easiest canvas for non-technical users
- Transparent credit add-ons
Cons:
- 100+ integrations vs. thousands on Zapier/Make — niche apps may need webhooks
- AI credits burn faster than expected on research-heavy agents
- Less suited to fully autonomous (no-human) designs
Best for: Operations teams, compliance-sensitive workflows, and anyone whose agent touches customers, money, or hiring.
5. Zapier Agents — Easiest If You’re Already on Zapier
What it is: Zapier Agents is the agent layer on top of Zapier’s 9,000+ app ecosystem: describe the goal in plain English, and the agent picks actions across your connected apps. Includes live data sources, web browsing, and a Chrome extension.
2026 pricing (verified): Separate add-on meter. Agents Free: 400 activities/month. Agents Pro: $400/year ($33.33/month) for 1,500 activities/month. Agents Enterprise custom. (Note: Zapier is migrating Agents into AI by Zapier steps billed from the task pool — check before buying annual.)
Our build: ~15 minutes. Second fastest. Describing the lead qualifier in plain English produced a working agent almost immediately; connecting our apps took longer than configuring the agent. The agent’s research step used live web browsing well.
Template gallery: Benefits from Zapier’s enormous template ecosystem, though agent-specific templates are still growing.
Pros:
- 9,000+ apps — the connector you need almost certainly exists
- Plain-English building; near-zero learning curve
- Free tier (400 activities) is enough for a real pilot
- Chrome extension + web browsing built in
Cons:
- Separate add-on cost on top of your Zapier plan
- Agent runs are less auditable than Make/n8n visual traces
- Results can vary run to run (probabilistic by nature)
- Pricing future is in flux (migration to task-pool billing)
Best for: Teams already paying for Zapier who want agents without a new platform to learn.
6. Make AI Agents — Best Value, Most Auditable
What it is: Make’s AI Agents live inside its visual scenarios — agent nodes with a reasoning panel that you wire into explicit flows alongside routers, filters, and 3,000+ app modules. Included in paid plans; no separate subscription.
2026 pricing (verified): Free: 1,000 credits/month. Core $9/month (annual): 10,000 credits. Pro $16/month: 10,000 credits + priority execution, custom variables, log search. Teams $29/month. AI agents included — no add-on fee. AI-provider actions may consume variable credits by tokens.
Our build: ~30 minutes. The slowest “no-code-friendly” build — Make’s canvas is powerful but dense, and wiring the research → score → draft flow took real field mapping. The payoff: the finished scenario is completely inspectable. Every module’s input and output is visible, which is exactly what you want before an agent touches real leads.
Template gallery: Large community scenario library; agent-specific templates growing fast.
Pros:
- Cheapest serious option — $9/month with agents included
- Fully auditable: see exactly what the agent did and why
- Powerful branching, error routes, and data tools
- Credits roll over one month on paid plans
Cons:
- Steepest learning curve of the no-code options here
- Polling/check steps consume credits even when idle
- AI credit math for heavy agent scenarios needs monitoring
Best for: Cost-conscious teams and anyone who needs to audit or defend what their agent does.
7. n8n — Best for Technical Teams (Free Self-Hosted)
What it is: n8n pairs a visual canvas with code nodes (JavaScript/Python), 500+ integration nodes, and LangChain-based AI Agent nodes. The Community Edition is free to self-host with unlimited executions.
2026 pricing (verified): Community: free self-hosted, unlimited executions. Cloud Starter: €24/month monthly (€20 annual) — 2,500 executions. Pro: €60/month (€50 annual) — 10,000 executions. Per-execution pricing (not per step) favors complex agent workflows. LLM calls billed by your model provider.
Our build: ~45 minutes. The longest build — n8n assumes comfort with APIs and data structures, and the AI Agent node configuration has real depth (memory, tools, output parsing). But the result was the most capable: custom scoring logic in a code node, proper error handling, and per-execution pricing means our 8-step agent costs the same as a 2-step workflow.
Template gallery: Huge community template library; agent templates are among the most sophisticated anywhere.
Pros:
- Free unlimited self-hosting — unbeatable at scale
- Per-execution (not per-step) pricing rewards complex agents
- Code nodes when visual building hits its limit
- Your data stays on your infrastructure
Cons:
- Real learning curve; not truly “no-code” for agent work
- Self-hosting means you own updates, backups, uptime
- Smaller native integration catalog than Zapier
Best for: Technical teams, agencies, and anyone running agents at volume where per-step billing would hurt.
Free-Plan Limits Compared
| Builder | Free plan | What it actually lets you do |
|---|---|---|
| Lindy | 7-day trial only | Full-featured test drive; then paid |
| Gumloop | 5,000 credits/mo | Run a real agent for weeks; best free tier here |
| Relevance AI | 200 actions/mo + $2 vendor credits | Enough to build and test one agent |
| Relay.app | 200 steps + 500 AI credits/mo | Genuine ongoing free use for light agents |
| Zapier Agents | 400 activities/mo | A real pilot without paying |
| Make | 1,000 credits/mo, 2 scenarios | Build and run a working agent free |
| n8n | Free self-hosted, unlimited | Unlimited everything except your server cost |
Full Comparison Table
| Lindy | Gumloop | Relevance AI | Relay.app | Zapier Agents | Make AI Agents | n8n | |
|---|---|---|---|---|---|---|---|
| Entry price | ~$49.99/mo | $37/mo | $19/mo | $19/mo | $33.33/mo add-on | $9/mo | Free / €20/mo |
| Build time (our test) | ~12 min | ~20 min | ~25 min | ~18 min | ~15 min | ~30 min | ~45 min |
| Learning curve | None | Low | Low-medium | Low | None | Medium | Medium-high |
| Multi-agent support | Yes | Excellent | Excellent | Basic | Basic | Yes | Yes (patterns) |
| Human approval | Built in | Available | Available | Best-in-class | Workarounds | Native modules | Manual |
| Self-host | No | No | No (Enterprise: private cloud) | No | No | No | Yes |
| Template quality | Strong | Strong | Excellent | Good | Growing | Strong | Excellent |
How to Choose
- Start from your constraint, not the feature list. Non-technical and in a hurry → Lindy or Zapier Agents. Budget under $25/month → Make or Relay.app. Need approvals → Relay.app. Need control → n8n.
- Test on the free tier with a real task. Every platform here except Lindy has a usable free tier. Build the same small agent (ours took 12–45 minutes) and judge the output quality, not the marketing.
- Price your steady state, not the trial. Model 500 agent runs/month with your step counts. Per-user pricing (Lindy) and credit meters (Gumloop, Relay) diverge fast at volume; flat + included (Make) stays boring.
- Decide the autonomy level before you build. Draft-only with human approval is the right default for anything touching customers, inboxes, or money. Fully autonomous agents are for internal, reversible work — at least at first.
Frequently Asked Questions
Can I really build an AI agent with no code in 2026?
Yes — every platform here offers a genuinely code-free path to a working agent (Lindy and Zapier Agents require literally zero building; Gumloop/Relay are drag-and-drop; Make and n8n are visual-plus). The honest caveat: “no code” doesn’t mean “no configuration” — you still define triggers, connect apps, write clear instructions, and test. Expect 15–45 minutes for a first useful agent, not 15 seconds.
Which no-code AI agent builder is cheapest?
For ongoing use, Make — AI agents are included in the $9/month Core plan, and free self-hosted n8n is $0 beyond a server. Relay.app’s $19/month is the cheapest dedicated builder with real volume. Gumloop’s $37/month Pro buys 20,000 credits with unlimited seats, which can be cheapest per person for teams.
Lindy vs Gumloop: which should I pick?
Pick Lindy if you want the fastest path to an assistant-style agent for inbox, scheduling, or lead work with zero learning curve. Pick Gumloop if you want a visual canvas, multi-agent workflows, and flat team pricing with a generous free tier. They’re different philosophies: conversational agent vs. visual agent platform.
Do I need my own OpenAI API key?
Not on most platforms — they bundle model access into their credits/activities. Exceptions worth knowing: Relevance AI lets you bring your own keys to bypass vendor credits (the cost-control move at volume), Relay.app supports BYOK for AI steps, and n8n self-hosted requires your own model provider entirely.
What’s the catch with free plans?
Two catches, both common: (1) usage meters that look generous until an AI-heavy agent burns through them — always run a week of real volume before committing; (2) missing governance on free tiers (SSO, audit logs, advanced permissions) — fine for pilots, not for production.
Can these agents replace Zapier or Make?
They’re converging, not replacing. Zapier Agents and Make AI Agents literally live inside those platforms. Dedicated builders (Lindy, Gumloop, Relevance) excel at judgment-heavy agent work but don’t match Zapier/Make for deterministic, high-volume plumbing. Most mature setups in 2026 use both: automations for the pipes, agents for the judgment.
Conclusion
The best no-code AI agent builder in 2026 depends on what you’re optimizing for: speed (Lindy, ~12 minutes to working), team value (Gumloop’s flat pricing and 5,000 free credits), agent teams (Relevance AI), approvals (Relay.app), ecosystem (Zapier Agents’ 9,000+ apps), cost and auditability (Make), or control (n8n self-hosted).
Our honest recommendation: start with the free tier of the two that match your constraint, build the same small agent in both (budget an hour), and pick the one whose output you’d trust with real work. The builder matters less than the guardrails — draft mode, human approval, and restricted app permissions turn any of these seven from a demo into a tool.
Next step: pick your constraint from the “How to Choose” list above, sign up for that platform’s free tier, and build the lead-qualifier agent from our test. You’ll know within an hour whether it’s the right fit.