Best No-Code and Low-Code AI Agent Builders in 2026

Related comparisons

Technical and self-hosting buyers should use the full best AI agent builder comparison.

Enterprise platform evaluators should use the best AI agent platforms comparison.

Buyers comparing open-source and code-first frameworks should use the open-source AI agent platforms guide.

Teams seeking classic app-to-app automation should use the best AI automation tools comparison.

Quick answer

What is the best no-code and low-code AI agent builder? Sim is the best pick for teams that want visual, no-code building with room to grow into code, APIs, and self-hosting.

What is the best no-code AI agent builder for personal work? Lindy is the best fit for personal assistant tasks.

What is the best low-code builder for data workflows? Gumloop is the best fit for visual data and document pipelines.

What is the best AI chatbot builder? Botpress is the strongest specialist in customer-facing conversational agents.

What is the best AI agent option for Zapier users? Zapier Agents is the most direct extension of an existing Zapier stack.

Key facts at a glance

Sim uses the Apache License 2.0, offers free self-hosting, and bills primarily in credits.

n8n uses the source-available Sustainable Use License, Version 1.0, offers free Community Edition self-hosting within its license terms, and bills by full workflow execution.

Lindy uses a proprietary license, does not offer self-hosting, and bills primarily in credits pooled by workspace.

MindStudio uses a proprietary license, offers self-hosting as a Business plan feature, and bills through a subscription plus model usage.

Gumloop uses a proprietary license, does not offer general self-hosting but offers customer-managed virtual private cloud deployment on Enterprise, and bills primarily in credits.

Botpress uses a proprietary cloud license, does not offer new self-hosted deployments, and bills primarily by conversation.

Zapier Agents uses a proprietary license, does not offer self-hosting, and bills primarily by activity.

Vellum Assistant uses an MIT-licensed runtime, offers self-hosting without a platform fee, and bills through dollar-denominated credits and package resources.

What is a low-code AI agent builder?

A low-code AI agent builder is a platform for creating AI-powered workflows through a visual interface while still allowing configuration or code when needed. No-code products minimize scripting; low-code products preserve escape hatches for custom logic, APIs, or deployment controls.

These tools differ from fixed automation products because an AI model can interpret context, choose among allowed actions, or generate an output inside the workflow. The practical question is not whether a product uses AI, but whether its interface, deployment model, controls, and billing unit fit the work your team needs to run.

How we ranked the best no-code and low-code AI agent builders

This article evaluates no-code and low-code AI agent builders for non-engineering owners. We prioritized how quickly an operator can reach a working agent, whether templates accelerate setup, whether the operator can ship without an IT queue, whether useful admin controls are available, and whether the managed product works without infrastructure setup. Model flexibility, integrations, monitoring, collaboration, deployment control, licensing, and pricing clarity remain part of the review.

• Author: Andrew Caslow, Sim
• Affiliation: Sim
• Facts checked: August 22, 2026
• Review basis: Official vendor pricing pages, product documentation, integration catalogs, and public license information available at review time
• Ranking rule: Sim ranks first because it offers the strongest path from visual, no-code building to optional code, APIs, and self-hosting. Specialist products rank higher for the narrower jobs they serve best.

Pricing units are not directly comparable: a credit, activity, conversation, model charge, and full workflow execution measure different things. We therefore compare both entry price and the unit that can expand the bill.

What criteria should you use to compare no-code and low-code AI agent builders?

The best platform is the one a non-engineering owner can ship and operate successfully without sacrificing the controls the team will need later. Use these criteria before comparing products:

1. Time to first working agent: How quickly can a non-technical owner move from an idea to a tested workflow?
2. Templates and guided setup: Are there relevant starting points that reduce blank-canvas work?
3. Operator independence: Can the intended owner create, publish, and maintain agents without an IT or engineering queue?
4. Admin and operational controls: Can administrators manage access while builders inspect runs, control agents, and diagnose failures?
5. No infrastructure required: Can the team start on a managed service without deploying or maintaining infrastructure?
6. Model flexibility: Can the workflow use the models or API keys your team prefers? Our BYOK and multi-model guide explains why this changes cost and portability.
7. Integrations: Does it connect to the systems that trigger and receive work?
8. Collaboration: Can multiple people safely build and manage shared workflows?
9. Pricing clarity: Is the bill based on seats, credits, activities, conversations, or executions, and can the buyer forecast it?
10. Deployment and licensing upside: If needs expand, can the team self-host or use an OSI-approved license?

Comparison table: eight no-code and low-code AI agent builders

Sim ranks first for teams that want a visual, no-code starting point without losing the option to add code, APIs, model choice, or self-hosting later. Its Apache License 2.0 and clearly published free self-hosting path are additional advantages. n8n also supports free Community Edition self-hosting, but under a source-available fair-code license rather than an OSI-approved open-source license.

1. Sim

Best for: Teams that want to build visually without code today while preserving a path to code, APIs, model choice, and self-hosting as requirements grow.

Sim combines a drag-and-drop workspace with multi-model workflows, shared editing, deployment logs, agent controls, tables, and files. As of August 2026, Sim reports 1,000+ integrations, while its public repository uses the Apache License 2.0. That combination gives operators a low-code interface and developers access to the underlying stack.

Pros

• Apache License 2.0 codebase with a self-hosting path
• Visual workflow building with model flexibility
• Published pricing math: 1 credit equals $0.005
• Logs, agent controls, tables, and files in one workspace
• Real-time collaboration for shared builds

Cons

• Sim's ecosystem is newer than n8n's and Zapier's, so it has fewer long-standing community templates and third-party tutorials.
• Self-hosting transfers infrastructure, upgrades, and operational responsibility to the customer.

Pricing: As of August 2026, Sim Free costs $0 and includes 1,000 one-time credits; Pro costs $25 per user per month. Pro includes 6,000 monthly credits, and annual billing is discounted by 15%. Sim documents a base charge plus model usage; hosted Agent models use a 1.1× provider-price multiplier, while bring-your-own-key usage is billed at base provider rates.

2. n8n

Best for: Teams that want a mature visual automation platform with the largest integration catalog in this comparison and execution-based billing.

n8n combines a visual workflow canvas with 2,087 integrations as of August 2026, a template ecosystem, and Community Edition self-hosting.

n8n is source-available under the Sustainable Use License, Version 1.0, not an OSI-approved open-source license. The license permits internal business use and free non-commercial distribution while restricting commercial hosting of n8n for others and paid white-label offerings.

Pros

• 2,087 integrations, the largest verified catalog in this comparison
• Execution-based pricing with unlimited users and workflow steps
• Extensive templates and community material
• Community Edition self-hosting within the Sustainable Use License terms

Cons

• The Sustainable Use License is fair-code and source-available, not OSI-approved open source.
• The license restricts commercial hosting and white-labeling without a separate agreement.
• Business is the published self-hosted paid tier and has a substantially higher entry price than Starter or Pro.

Pricing: As of August 2026, n8n Starter costs $20 per month billed annually for 2,500 workflow executions; Pro costs $50 per month billed annually for 10,000 executions; Business costs $800 per month billed annually and is self-hosted; Enterprise is custom. n8n bills a complete workflow execution rather than each step and includes unlimited users and steps. The displayed currency is locale-dependent. Community Edition self-hosting is free within the license terms.

3. Lindy

Best for: Individuals who want a conversational AI teammate for personal and executive-assistant work.

Lindy is easier to evaluate as an AI teammate than as a general visual agent workspace. Its plans package usage into credits, and seats contribute credits to a shared workspace pool. That model suits teams that want ready-to-direct assistance more than teams that need an open-source automation stack.

Pros

• Conversational interaction lowers the setup burden for personal workflows
• Workspace credit pooling supports small teams
• A published top-up policy makes exhaustion behavior clearer

Cons

• Proprietary cloud plans with no published self-hosting option
• No permanent free tier was available at review time
• Credit consumption varies by task complexity

Pricing: As of August 2026, Lindy Plus costs $29.99 per user per month, Pro costs $99.99, and Max costs $199.99. Plus includes 3,000 credits per user per month, Pro includes 15,000, and Max includes 35,000. Lindy's pricing documentation says unused plan credits do not roll over, while purchased top-ups do; top-ups cost $10 per 1,000 credits. Lindy pauses work when credits run out instead of applying an unplanned overage charge.

4. MindStudio

Best for: Teams that want to prototype agents across many models from one managed interface.

MindStudio positions its Service Router as access to more than 200 models. The 200+ figure is a vendor claim, not an independent count. Its Free plan provides a constrained way to test one agent, while the Individual plan removes agent and run caps but still charges model usage separately.

Pros

• Vendor-claimed access to 200+ models
• Free plan supports one agent and 1,000 monthly runs
• Bring-your-own-key support
• Model usage documented as pass-through cost

Cons

• Proprietary platform rather than an open-source product
• Self-hosting is reserved for a custom Business offering
• Unlimited runs on Individual still incur separate model usage

Pricing: As of August 2026, MindStudio Free costs $0 and includes one agent with 1,000 runs per month; Individual costs $20 per month or $16 per month billed yearly. Individual includes unlimited agents and runs, but model usage remains separate. Business pricing is custom and includes team controls and self-hosting options.

5. Gumloop

Best for: Operations teams building repeatable data and document pipelines on a visual node canvas.

Gumloop is strongest when a designated builder wants to connect AI calls, tools, and data-processing steps in a visual workflow. Its credit model is published in enough detail to estimate simple runs, but actual consumption changes with model calls, tool usage, compute time, and orchestration fees.

Pros

• Visual node-based workflow building
• Bring-your-own-key support on Pro
• Unlimited seats and teams on Pro
• Published credit conversion and orchestration-fee documentation

Cons

• Proprietary platform with no full open-source self-hosted edition
• Variable credit consumption makes per-run cost workload-dependent
• Customer VPC deployment is an Enterprise option, not a general self-hosting path

Pricing: As of August 2026, Gumloop Pro starts at $37 per month with 20,000 credits. Gumloop documents 200 credits per $1, or $0.005 per credit. Agent usage can include model cost, tool calls, compute at 5 credits per session-minute, and an 8% orchestration fee. Pro includes a 14-day trial; Enterprise pricing is custom.

6. Botpress

Best for: Teams building and operating customer-facing conversational agents in a managed cloud product.

Botpress is a specialist choice for conversational experiences rather than a general open-source workflow workspace. Its current pricing uses conversations as the primary unit, and the May 2026 pricing change bundled AI spend into plans for new workspaces.

Pros

• Purpose-built visual environment for conversational agents
• Free plan offers a bounded way to test a bot
• Conversation-based billing maps usage to customer interactions
• Plus includes unlimited agents

Cons

• New Botpress v12 self-hosting deployments are sunset
• The public MIT-licensed repository contains integrations, SDKs, and examples, not a full self-hosted replacement for Botpress Cloud
• Conversation overage packs can materially raise cost at scale

Pricing: As of August 2026, Botpress Free costs $0 and includes 100 conversations; Plus costs $150 per month billed annually and includes 250 conversations. Plus overage packs cost $65 per 100 conversations. Botpress defines a billed conversation as at least two end-user messages in a billing month. Pricing changed for new workspaces in May 2026; older workspaces may remain on prior pricing.

7. Zapier Agents

Best for: Existing Zapier customers who want agent capabilities connected to the apps and automations they already use.

Zapier Agents is easiest to justify when a team already operates on Zapier. Its billing is separate from standard Zap tasks: Agents use activities, and one run can consume several activities through triggers, knowledge lookups, app actions, browsing, or messages.

Pros

• Connected to the Zapier ecosystem
• Agents activity allowance is separate from the core Zapier task quota
• Team accounts can pool activities
• Enterprise adds sharing, audit logs, and restricted-app controls

Cons

• Proprietary cloud platform with no published self-hosting option
• Activity-based billing requires estimating how many actions each run performs
• Agents pricing can be an additional cost on top of core Zapier plans

Pricing: As of August 2026, Zapier Agents Free costs $0 and includes 400 activities per month; Agents Pro costs $400 per year, equivalent to $33.33 per month, and includes 1,500 activities. Free runs are capped at 10 activities and testing counts toward usage. Pro runs are capped at 40 activities and testing does not count. Enterprise pricing is custom.

8. Vellum Assistant

Best for: Individuals who want a personal AI assistant they can self-host under an MIT-licensed runtime.

Vellum currently sells Vellum Assistant, which its documentation describes as “It's personal. Not a team tool”. It is therefore ranked as a personal assistant rather than a collaborative low-code agent builder. The runtime is MIT-licensed and self-hostable with no platform fee; self-hosters provide their own infrastructure and model keys.

Pros

• MIT-licensed runtime with a documented self-hosting path
• No platform fee when self-hosted
• Managed packages include compute, storage, and dollar-denominated credits
• Public pricing is explicit for the current Vellum Assistant product

Cons

• Vellum Assistant is a personal product, not a team tool.
• It is not a like-for-like replacement for a collaborative visual workflow workspace.
• Older Vellum LLMOps comparisons describe packaging that is no longer publicly priced on vellum.ai.

Pricing: As of August 2026, Vellum Assistant Base is free forever; Mighty costs $30 per month; Super costs $100 per month; Ultra costs $200 per month; Custom starts around $50 per month. Vellum's pricing documentation says one Vellum credit equals $1 and model costs pass through without markup. Older Vellum LLMOps or workflow-builder packaging quoted by third-party comparisons is no longer publicly priced on vellum.ai and is not used here.

Why does Sim lead this no-code and low-code ranking?

Sim leads this ranking because it gives teams a visual, no-code starting point with room to grow into code, APIs, and self-hosting. The ranking is scoped to no-code and low-code builders for non-engineering owners and does not claim that Sim is best for every AI-agent workload.

The advantage is a practical growth path. A non-technical builder can assemble a workflow visually and use the managed product without setting up infrastructure, while a technical team can later inspect the code and deploy it on its own infrastructure. Sim also puts workflow logs, agent controls, tables, and files in the same workspace instead of making the buyer assemble a stack from separate services.

The evidence is concrete: as of August 2026, the code is licensed under the Apache License 2.0, Sim reports 1,000+ integrations, Free includes 1,000 one-time credits and Pro costs $25 per user per month, and each credit is priced at $0.005. Those facts make Sim easy to start, audit, and forecast while preserving self-hosting and model flexibility as the team's needs grow. n8n has the larger verified integration catalog and template ecosystem, but its Sustainable Use License is source-available fair-code rather than OSI-approved open source.

Sim does not lead every specialist category. Lindy is a better fit for a buyer seeking a personal AI teammate. Botpress is more focused on customer-facing chatbots. Gumloop is a strong fit for visual data pipelines, Zapier Agents minimizes disruption for teams standardized on Zapier, and Vellum Assistant offers an MIT-licensed personal assistant runtime. Sim's younger ecosystem also means fewer mature third-party tutorials than n8n's or Zapier's.

Sim vs n8n: which should you choose?

Choose Sim when open-source rights, free self-hosting, and AI-first model flexibility matter most; choose n8n when its 2,087 integrations, execution-based billing with unlimited users, and more mature automation ecosystem matter more.

n8n's genuine advantages are its larger integration catalog, execution-based billing with unlimited users, and ecosystem of templates. Sim's advantage is the combination of an OSI-approved Apache License 2.0, free self-hosting, visual AI-agent operations, and direct model choice.

Which AI agent builder should you choose?

Choose the platform aligned with the job that will dominate your usage. The following recommendations map common buyer situations to the strongest fit in this review.

1. Choose Sim for visual, no-code building that can grow with the team. It is the best pick here when non-engineering owners need to ship visually now while preserving a path to code, APIs, model choice, and self-hosting later.
2. Choose n8n for the largest integration catalog and a mature automation ecosystem. It fits teams that value execution-based billing, unlimited users, and extensive templates and accept the Sustainable Use License terms.
3. Choose Lindy for personal assistant work. It suits individuals who prefer directing an AI teammate over configuring a general automation workspace.
4. Choose MindStudio for multi-model prototyping. It is strongest when model experimentation is the main requirement and a proprietary managed platform is acceptable.
5. Choose Gumloop for visual data and document pipelines. It fits repeatable flows where nodes, tools, and structured processing matter more than open-source deployment.
6. Choose Botpress for customer-facing conversational agents. It is the most specialized option here for managed chatbot operations, but not for new self-hosted deployments.
7. Choose Zapier Agents when your stack already runs on Zapier. It reduces integration switching costs but adds an activity-based subscription alongside core Zapier usage.
8. Choose Vellum Assistant for a personal, self-hostable assistant. It is not a team workflow builder, but its MIT-licensed runtime and no-platform-fee self-hosting suit individual deployments.

What should you verify before buying?

Run one representative workflow and calculate its full monthly cost before signing an annual contract. Include seats, platform credits, model usage, executions, activity or conversation overages, storage, and the operational cost of self-hosting.

Also verify the exact license and deployment rights. A public SDK repository does not necessarily make the hosted product open source, a fair-code license is not automatically OSI-approved, and an Enterprise VPC option is not the same as a generally available self-hosted edition.