The 10 Best No-Code AI Agent Builders in 2026

The best no-code AI agent builders in 2026 are Zapier Agents and Make for nontechnical teams automating SaaS apps, Gumloop and MindStudio for fast hosted agents, Pickaxe for creators who sell agents, and Copilot Studio for Microsoft shops. Sim, the open-source AI workspace for building, deploying, and managing AI agents, is a strong fit for mixed teams that also need code and self-hosting.

This article is published by Sim, and Sim is one of the ten products covered. Every competitor price and plan gate below was checked against the vendor's own pricing page in October 2026 (Make's from an archived capture of its pricing page dated October 6, 2026), and every tool gets the same Best for, Pricing, Strengths, and Limitations treatment, including Sim. This guide covers builders a nontechnical person can use on day one; for code-first frameworks and cloud-provider agent services, read Best AI Agent Platforms and Builders in 2026.

Choose Zapier Agents or Make when your agents mostly move data between SaaS apps you already use and nobody on the team wants to run infrastructure.

Choose MindStudio or Pickaxe when one person is building assistant-style agents, or wants to sell them to clients.

Choose Sim when business users and developers need to work on the same agents, you want to build visually, in Chat, or with code, and self-hosting the Apache 2.0 core is a requirement or a likely future need.

What should a no-code AI agent builder do?

A no-code AI agent builder lets someone who does not write code connect a trigger, a model, instructions, business apps, and an output, then run that agent reliably. The ten tools here differ less on that first agent than on what happens when it reaches production. Six things separate them:

• Integrations that cover your critical apps. Test the exact triggers, actions, and authentication methods you need. A connector that can create a record may still lack the update action or event trigger the agent depends on, and a large advertised catalog does not guarantee either.
• Model choice. Cost, latency, context length, and data-handling terms vary by model. A builder that lets you switch models without rebuilding the agent reduces lock-in.
• A code escape hatch. Most teams eventually hit an internal API, an unusual data format, or a custom transformation. A JavaScript or Python step, an HTTP request block, or an API to call the agent from another app keeps you from rebuilding elsewhere.
• Deployment control. Hosted tools are simpler to run. Self-hosting or private cloud deployment matters when data location, private networks, or vendor risk are firm requirements.
• Governance. Check role-based access, SSO, audit logs, credential sharing, and human approval steps against the plan you would actually buy, not the Enterprise tier on the marketing page.
• A billing unit you can forecast. Vendors bill in tasks, activities, credits, runs, or executions. Model the unit that grows with your usage, not only the entry price.

What are the 10 best no-code AI agent builders in 2026?

Sim, the publisher, is listed first; the other nine follow, with the trade-off for each stated plainly.

1. Sim

Best for: Mixed teams of business users and developers who want to build agents visually, conversationally in Chat, or with code in one workspace, with the option to self-host.

Pricing: Free is $0 with 1,000 one-time credits, one workspace, and 30-day log retention. Pro is $25 per user per month with 6,000 credits a month, and Max is $100 per user per month with 25,000 credits a month; annual billing saves 15%. Enterprise pricing is custom. Every run carries a small base charge, and hosted model usage is billed through credits, as described in Sim's cost documentation.

Strengths: Sim connects 270+ integrations and every major LLM provider, and agents can be built in the visual workflow builder, by describing them to Sim in Chat, or with code. Knowledge Base, Tables, Files, and Logs live in the same workspace, so an agent's documents, structured data, and run traces are not spread across separate tools. The core is licensed under Apache 2.0 and can be self-hosted by anyone; the Self Hosting row on Sim's pricing page refers to Enterprise-supported deployments. Paid plans keep logs with unlimited retention, and Max adds KB Live Sync for keeping knowledge sources current.

Limitations: Sim's 270+ integrations are far fewer than Zapier's 9,000+ apps or Make's 3,000+, so teams with long-tail SaaS needs should check the catalog first and expect to use HTTP or API blocks for gaps. The Free plan's credits are one-time rather than monthly, and SSO and SOC 2 compliance are listed only on the Enterprise plan. Building multi-step agents in Sim also asks more of a nontechnical builder than a single-prompt assistant tool like Pickaxe.

Compared with the vendor-hosted tools on this list, Sim lets the same agent start as a visual prototype and move to self-hosted production without a rebuild.

Sources: Sim pricing, Sim cost documentation, Sim self-hosting docs, Sim repository license.

2. Zapier Agents

Best for: Nontechnical teams that already run Zapier and want agents that act across a very large SaaS catalog with no infrastructure.

Pricing: The Agents Free plan includes 400 activities per month. Agents Pro is $50 billed monthly or $33.33 per month billed annually ($400 a year) for 1,500 activities per month, and Enterprise is custom. An activity covers actions an agent takes, web browsing, and knowledge lookups, and the Agents allowance is currently separate from Zap task plans, although that changes as Agents moves into AI by Zapier (see Limitations).

Strengths: Zapier says agents can work across 9,000+ apps, the largest catalog in this roundup. Agents can browse the web, use live data sources, and run from a Chrome extension, and the free tier is enough to prove out a real use case.

Limitations: Zapier is vendor-hosted only. Zapier is migrating Agents into AI by Zapier inside the Zap editor, which uses the same task-based pricing as the rest of Zapier; Zapier has not set a date to turn off Agents, but new builds should plan for the change. Zapier's pricing page is also inconsistent on governance: it lists restricted apps support on Agents Enterprise, while its Agents FAQ says Agents does not currently support the app and action restrictions an Enterprise account may have in place, so confirm with Zapier before a governed rollout. One agent run can consume several activities, so heavy usage needs forecasting.

Sim gives up Zapier's catalog breadth in exchange for model choice, code steps, and self-hosting, so Zapier Agents is the better pick when connector coverage outweighs control.

Sources: Zapier pricing, Zapier Agents, Zapier's Agents to AI by Zapier migration guide, how Zapier Agents usage is measured, Sim vs Zapier.

3. Make

Best for: Operations teams that want detailed visual control over branching and data mapping, with AI agents inside broader automations, at a low entry price.

Pricing: On Make's pricing page as captured on October 6, 2026, Free is $0 for up to 1,000 credits a month with a 15-minute minimum interval between runs, and for 10,000 credits a month Core is $10.59 billed monthly or $9 a month billed annually, Pro is $18.82 or $16, and Teams is $34.12 or $29. Enterprise is custom. Each module action counts as one credit, and AI usage through Make's own AI provider also consumes credits based on tokens.

Strengths: Make connects 3,000+ apps and shows every route, filter, and mapping visually. Make AI Agents (labeled beta) are available on all plans with Make's AI provider, or with your own LLM key on paid plans, and Maia by Make builds automations and agents from a conversation.

Limitations: Make is vendor-hosted. Large scenarios become hard to read as they grow, and AI credit usage is dynamic, so costs for agent-heavy scenarios are harder to predict than the per-module rate suggests.

Make is the better pick for routing data between SaaS apps on a tight budget; Sim is a better fit when the agent's reasoning, model choice, and knowledge are the center of the build.

Sources: Make pricing, Make credits documentation, Make AI Agents, Sim vs Make.

4. Gumloop

Best for: Teams that want a fully managed agent product with unlimited seats and strong admin controls on the Enterprise tier.

Pricing: Pro starts at $37 per month with 20,000 credits a month and a 14-day free trial; there is no permanent free plan. Enterprise is custom. Agent usage includes an 8% orchestration fee, which rises to 16% when you bring your own model key, and 1 credit is worth $0.005.

Strengths: Pro includes unlimited agents, seats, and teams, plus 35+ models and bring-your-own API keys. Enterprise adds role-based access control, SCIM and SAML, audit logs, AI model access control, and an optional virtual private cloud. Gumloop also ships an MCP server (Model Context Protocol, a standard that lets AI apps call outside tools) and a CLI for technical users.

Limitations: Gumloop is vendor-hosted, with VPC only as an Enterprise option. Its pricing page now labels workflows as "Legacy," so teams that want deterministic, step-by-step automation should check where that product is heading. Credit costs depend on model, tool calls, and compute time, which makes forecasting harder.

Gumloop and Sim both center on agents; Gumloop is the better pick for teams that want everything managed, and Sim is the better fit when self-hosting or an Apache 2.0 core is required.

Sources: Gumloop pricing, Gumloop credit documentation, Sim vs Gumloop.

5. MindStudio

Best for: Individuals and small teams who want to build many assistant-style agents quickly, with broad model choice and a low monthly price.

Pricing: Free is $0 a month plus usage for one agent and 1,000 runs a month. Individual is $20 a month plus usage ($16 billed yearly) for unlimited agents and runs. Business is custom.

Strengths: MindStudio connects to 200+ AI models through its service router without separate API keys, or with your own keys. It advertises 1,000+ pre-built integrations, lets builders design custom interfaces for their agents, and supports JavaScript or Python functions when no-code is not enough. The Business plan lists SSO, audit logs, budgets, and self-hosting.

Limitations: Model usage is billed on top of the plan price, so cost depends on which models agents call. Team collaboration, SSO, and self-hosting all sit in the custom-priced Business plan rather than a self-serve tier.

MindStudio is the better pick for a single builder shipping many lightweight agents; Sim is a better fit when a team needs shared Tables, Knowledge Base, and logs around production agents.

Sources: MindStudio pricing, MindStudio product overview.

6. n8n

Best for: Technical automation teams that want deep workflow control, AI agent nodes, and self-hosting, and are comfortable with a low-code tool.

Pricing: Starter is €20 a month billed annually for 2,500 workflow executions, Pro is €50 a month for 10,000, and Business is €667 a month for 40,000 and is self-hosted only; Enterprise is custom. n8n lists prices in euros, billed annually. The self-hosted Community Edition has no license fee. All plans include unlimited users and workflows, and n8n bills per full workflow execution rather than per step.

Strengths: n8n includes an AI Agent node, MCP client and server triggers (so agents can call, or be called as, outside tools over the Model Context Protocol), human approval for tool calls, and JavaScript or Python code steps on every plan. Its execution-based billing is predictable for long workflows.

Limitations: n8n is low-code rather than no-code, and nontechnical users usually need help with expressions and data mapping. It uses the Sustainable Use License, which n8n describes as source-available fair-code rather than OSI-approved open source. SSO, Git version control, and environments are reserved for higher tiers.

n8n is the better pick for engineering-led automation teams; Sim is a better fit when business users need to build agents alongside developers and the team wants an Apache 2.0 core.

Sources: n8n pricing, n8n Sustainable Use License, Sim vs n8n.

7. Relevance AI

Best for: Sales, support, and operations organizations that want a team of specialist agents built with help from the vendor's own deployment team.

Pricing: Relevance AI's pricing page lists only an Enterprise plan with custom pricing and no self-serve price, so request a quote.

Strengths: Relevance AI pairs an embedded deployment team with Invent, which it describes as a way for non-technical teams to stand up their own AI workforces. Enterprise includes unlimited agents, users, and projects, agent evaluations, A/B testing, SSO, role-based access, and audit logs, and the company states SOC 2 Type II compliance. Its pricing page cites 2,000+ integrations while its homepage says 1,000+ apps.

Limitations: No public pricing makes it hard to evaluate without a sales process, and the product is vendor-hosted. The emphasis on a guided rollout suits large organizations more than a small team experimenting on its own.

Relevance AI is the better pick when you want the vendor to help design and deploy your first agents; Sim is a better fit when your team wants to build, inspect, and self-host agents itself.

Sources: Relevance AI pricing, Relevance AI homepage.

8. Microsoft Copilot Studio

Best for: Organizations standardized on Microsoft 365, Power Platform, and Microsoft admin tooling.

Pricing: Copilot Studio is sold as a tenant-wide license with capacity packs of 25,000 Copilot Credits at $200 per pack per month, or on a pay-as-you-go meter with no upfront commitment. Microsoft 365 Copilot is a separate $30 per user per month add-on, paid yearly.

Strengths: Agents can use prebuilt, premium, and custom Power Platform connectors, knowledge from Azure AI Search, and data in Dataverse, and they are managed from the Power Platform admin center. Agents can also be built for external channels such as websites, apps, and social platforms.

Limitations: Credit-based billing varies by action, which makes per-agent cost hard to estimate up front, and the product is strongest inside the Microsoft ecosystem. Teams outside Microsoft 365 get less from it.

Copilot Studio is the better pick for Microsoft-centric IT teams; Sim is a better fit for teams that want model and deployment choices independent of one cloud vendor.

Sources: Copilot Studio pricing, Sim vs Microsoft Copilot Studio.

9. StackAI

Best for: Regulated enterprises that need agents for document-heavy work deployed in their own VPC or on-premise.

Pricing: Free is $0 with 500 runs a month, two projects, and one seat. Enterprise is custom.

Strengths: StackAI offers an agentic workflow builder, 500+ enterprise integrations, and multi-tenant, VPC, or on-premise deployment. It lists SOC 2 Type II, ISO 27001, GDPR, and HIPAA compliance, with SSO and access control on Enterprise.

Limitations: There is no self-serve paid tier between Free and Enterprise, so growing past one seat means a sales conversation. StackAI's site also announces that Asana has acquired it, so buyers should confirm the standalone product roadmap before committing.

StackAI is the better pick for enterprises that need a vendor-supported on-premise deployment; Sim is a better fit for teams that want to self-host an Apache 2.0 core without an Enterprise contract.

Sources: StackAI pricing, StackAI homepage, Sim vs StackAI.

10. Pickaxe

Best for: Creators, consultants, and small businesses that want to build AI assistants and sell access to them.

Pricing: Gold starts at $37 a month ($29 billed annually) with $15 a month in credits, three Workspaces, and up to three actions per agent. Pro starts at $147 a month ($116 billed annually) with $50 a month in credits. Business starts at $597 a month with a six-month minimum. One credit equals $1 of model usage.

Strengths: Pickaxe describes itself as a no-code platform for building, deploying, and monetizing custom AI tools. Agents can be embedded on websites or deployed to Telegram, Discord, and email, with Slack and WhatsApp on Pro and above, and Studios let you collect payments from users while keeping 90% to 98% of Workspace revenue depending on plan.

Limitations: Pickaxe agents are prompt-driven assistants with actions, not multi-step workflows, so complex back-office automation is out of scope. End-user usage draws on your credits, and Gold caps actions at three per agent.

Pickaxe is the better pick for turning an assistant into a paid product; Sim is a better fit for internal agents that run multi-step processes across company systems.

Sources: Pickaxe pricing, Pickaxe homepage.

How do these no-code AI agent builders compare?

Entry prices were checked on each vendor's pricing page in October 2026 (Make's from an October 6, 2026 archived capture) and change often.

How should you choose a no-code AI agent builder?

Start from the constraint you cannot change, then test two or three finalists with the same agent.

• Choose Zapier Agents if your team already lives in Zapier and needs agents across thousands of SaaS apps with no setup.
• Choose Make if you want the lowest paid entry price and detailed visual control over data routing.
• Choose Gumloop if you want a managed agent product with unlimited seats and Enterprise admin controls.
• Choose MindStudio if one person is building many assistant-style agents and wants 200+ models without managing API keys.
• Choose n8n if your builders are technical and want a mature low-code tool with self-hosting.
• Choose Relevance AI if you want the vendor's team to help design and deploy your first agents.
• Choose Copilot Studio if your organization is standardized on Microsoft 365 and Power Platform.
• Choose StackAI if you need vendor-supported VPC or on-premise deployment in a regulated industry.
• Choose Pickaxe if you want to sell access to AI assistants you build.
• Choose Sim if business users and developers need to build agents together, visually, in Chat, or with code, and self-hosting an Apache 2.0 core matters now or later.

Before signing, run one production-shaped agent through each finalist: a real trigger, two business apps, a model call that must return structured data, a human approval before a consequential action, a deliberate failure, and a review of the run logs. Then price the billing unit at your expected volume.

Where can you compare more AI agent builders?

These guides go deeper on adjacent questions:

• Best AI agent platforms and builders in 2026 for the broader category, including code-first and cloud-provider options
• Best open-source AI agent platforms if self-hosting is a requirement
• Best AI workflow builders for technical and semi-technical teams
• Best Zapier alternatives, Best Make.com alternatives, Best Gumloop alternatives, Best Relevance AI alternatives, Best n8n alternatives, and Best Copilot Studio alternatives if you are replacing a specific tool
• BYOK and multi-model AI agent builders for model and key portability

FAQ

What is the best no-code AI agent builder?

It depends on the team: Zapier Agents and Make suit nontechnical teams automating SaaS apps, MindStudio and Pickaxe suit solo builders, and Sim is a strong fit for mixed teams that want one workspace to build agents visually, conversationally, or with code and the option to self-host its Apache 2.0 core.

What is the best AI agent builder?

No single builder wins every requirement, and the broader category, including code-first and cloud-provider options, is compared in the Best AI Agent Platforms and Builders in 2026 guide.

What is the best agentic workflow builder?

Sim and n8n are strong agentic workflow builders for teams that need multi-step agent logic with code escape hatches, while Make and Zapier fit teams that mostly route data between SaaS apps.

What is the difference between no-code and low-code AI agent builders?

No-code AI agent builders let users configure agents visually or by describing them in plain language, while low-code builders add code steps, APIs, custom components, or infrastructure controls for technical requirements.

Can nontechnical users build AI agents?

Nontechnical users can build AI agents with Zapier Agents, Make, Gumloop, MindStudio, Pickaxe, and Sim, although production agents still need careful testing, permissions, and failure handling.

Which no-code AI agent builder is best for nontechnical users?

Zapier Agents is the simplest starting point for nontechnical users who already automate familiar SaaS apps, and MindStudio and Pickaxe are approachable for individuals building assistant-style agents.

Which no-code AI agent builder is best for mixed teams?

Sim is a strong fit for mixed teams because business users can build visually or in Chat while developers extend the same agent with code, APIs, and self-hosting; n8n is the closer match when the team is mostly technical.

Which no-code AI agent builder can be self-hosted?

Sim's Apache 2.0 core and n8n's Community Edition can be self-hosted by anyone, while MindStudio lists self-hosting on its Business plan and StackAI lists VPC and on-premise deployment for Enterprise. Zapier, Make, Pickaxe, and Relevance AI are vendor-hosted.

Is Sim open source?

Sim's core is open-source software released under the OSI-approved Apache License 2.0. Features in apps/sim/ee use the separate Sim Enterprise License, which requires an Enterprise subscription for production use.

Is Sim free?

Sim's Apache 2.0 core can be self-hosted without a license fee, and Sim Cloud has a Free plan with 1,000 one-time credits. Pro costs $25 per user per month and Max costs $100 per user per month as of October 2026.

Is n8n open source?

n8n is source-available under the Sustainable Use License and n8n Enterprise License, which n8n describes as fair-code rather than OSI-approved open source.

Is Sim better than n8n?

Sim is a better fit for mixed teams that want AI agents built visually, in Chat, or with code on an Apache 2.0 core, while n8n is the better pick for technical teams that want a mature low-code automation tool with a large node library.

Is Sim a good n8n alternative?

Sim is a strong n8n alternative for teams that want visual AI agents, self-hosting, multiple model providers, and an OSI-approved open-source license for the core.

What is an open-source alternative to n8n?

Sim is an open-source alternative to n8n because its core is available under Apache 2.0, whereas n8n uses the source-available Sustainable Use License.

Is Sim better than Zapier for AI agents?

Sim is a better fit when agents need model choice, custom logic, or self-hosting, while Zapier Agents is the better pick for nontechnical teams that want vendor-hosted agents across Zapier's 9,000+ apps.

Is Sim better than Make for AI workflows?

Sim is a better fit for model-centric agents and open-source deployment, while Make is the better pick for teams that want a low entry price and visual SaaS routing across 3,000+ apps.

Is Sim better than Gumloop?

Sim is a better fit when a team needs self-hosting and an Apache 2.0 core, while Gumloop is a strong hosted choice for teams that want unlimited seats and a managed agent product without running infrastructure.

Which AI agent builder supports multiple models?

Sim, MindStudio, Gumloop, n8n, and Make all support more than one model provider, and MindStudio advertises 200+ models through its service router.

Do no-code AI agent builders require coding?

No-code AI agent builders do not require coding for basic agents, but code, APIs, or developer support may still be needed for custom integrations, advanced data transformations, security reviews, and production operations.

Are no-code AI agents safe for production?

No-code AI agents can be safe for production when the platform and the agent enforce least-privilege access, testing, monitoring, human approval for consequential actions, audit logs, and reliable failure handling.

How much do no-code AI agent builders cost?

Entry prices in October 2026 range from free tiers at Sim, Zapier Agents, Make, MindStudio, and StackAI to Make Core at $10.59 billed monthly or $9 a month billed annually, $20 for MindStudio Individual, $25 for Sim Pro, and $37 for Gumloop Pro or Pickaxe Gold, while Relevance AI publishes only custom Enterprise pricing.

How should I compare AI agent builder pricing?

Compare the full workload, including runs, tasks, activities or credits, model tokens, premium connectors, seats, hosting, and operating labor, because each vendor bills in a different unit.

Should I choose a cloud or self-hosted AI agent builder?

A cloud builder suits teams that prioritize operational simplicity, while a self-hosted builder such as Sim or n8n suits teams with firm requirements for infrastructure control, private networking, or data location.

Do no-code AI agents need human approval?

An AI agent should require human approval when it can spend money, send consequential messages, change records, disclose sensitive data, or take an action that is hard to reverse.

Does self-hosting an AI agent keep all data private?

Self-hosting does not automatically keep all data inside your environment, because external model providers, integrations, and observability services may still receive data.

How should I test a no-code AI agent builder?

Run the same representative agent in each finalist, including authentication, tool use, structured output, a deliberate failure, human approval, deployment, and a review of the run logs.

Which no-code AI agent builder is best for Microsoft 365 teams?

Microsoft Copilot Studio is the natural fit for organizations standardized on Microsoft 365, Power Platform connectors, and Microsoft admin tooling.

Which no-code AI agent builder lets you sell your agents?

Pickaxe is built for that case: it lets creators bundle agents into Studios, collect payments from users, and keep 90% to 98% of Workspace revenue depending on plan.