Best AI Agent Builders

Zapier Agents is the easiest way for a non-technical team to build an AI agent that actually does things across business apps. You describe the job, Zapier Copilot helps set it up, and the agent decides its own steps across Zapier's 9,000+ app connections: researching a new lead, updating the CRM, drafting a reply or posting in Slack. You can give it knowledge (FAQs, documents, links), run it on a trigger or on demand, and use a Chrome extension to work on web pages.

Pricing is friendly to start. Every Zapier account, including Free, gets 400 agent activities a month, up to 10 per run. An activity is one thing the agent does, such as a search or an app action, and it does not use your Zap tasks. Agents Pro costs $400 a year (about $33.33 a month) for 1,500 activities and up to 40 per run.

The weak spots are depth and governance. An agent that picks its own steps is less predictable than a fixed Zap, and Zapier offers fewer admin and audit controls than enterprise suites such as Copilot Studio or Agentforce.

Pick it if your team already uses Zapier or wants agents running this week without code. Skip it if you need self-hosting or precise control; n8n fits better. See our Zapier review.

Microsoft Copilot Studio is the most complete agent builder for companies that run on Microsoft 365. You build agents in a low-code designer, connect them to Microsoft 365 data and other business systems through connectors, and add multi-step workflows with approvals and business logic.

It is strong on the things IT teams care about. Computer-using agents became generally available in May 2026, so an agent can click through websites and desktop apps that have no API. Credentials sit in Azure Key Vault, actions are logged in Microsoft Purview, and you can require a person to review steps. You can also choose between models, including OpenAI's and Anthropic's, for these agents.

Pricing is the hard part. If your staff already have Microsoft 365 Copilot ($30/user/month), they can build internal agents at no extra cost. Publishing agents to customers or outside users needs a Copilot Studio licence: capacity packs cost $200/month for 25,000 Copilot Credits, and pay-as-you-go is $0.01 per credit. How many credits a conversation uses depends on the features and models involved, so run a pilot before you budget.

Pick it if you are a Microsoft shop that needs governed agents across many teams. Skip it if you are a small team without Microsoft 365 Copilot; Zapier or n8n are simpler and cheaper to start.

n8n is the most powerful builder here for teams with some technical skill. Its visual editor lets you place an AI Agent node in a workflow, give it tools, memory and your choice of model, and connect it to your apps. When no-code is not enough, you drop into JavaScript or Python.

The pricing model suits agents. n8n charges per execution, meaning one full workflow run however many steps it takes, while Zapier and Make charge per step or module. Cloud Starter is €20/month billed yearly for 2,500 executions; Pro is €50/month for 10,000. Every plan has unlimited users and workflows. The Community Edition is free to self-host, which keeps data on your own servers, and the project has about 206,000 GitHub stars.

The catches are the learning curve and the licence. n8n expects you to understand data structures and APIs, and its Sustainable Use License is source-available rather than open source, so you cannot resell n8n as a hosted service.

Pick it if you have an ops or engineering person and want low-cost, controllable agents, possibly on your own servers. Skip it if nobody on your team is comfortable debugging a workflow. See our AI automation tools ranking for how it compares with Zapier and Make.

Workspace agents are OpenAI's no-code way to build agents inside ChatGPT. OpenAI calls them an evolution of custom GPTs, and it points no-code users of its developer-focused Agent Builder, which shuts down on 30 November 2026, towards them. You describe a workflow in the ChatGPT sidebar or upload a document, and ChatGPT drafts the steps, connects tools, adds skills and tests the agent. Templates cover finance, sales and marketing jobs.

Agents run in the cloud, keep memory, can run on a schedule, and can be shared across a team in ChatGPT or deployed in Slack to answer requests. They launched on 22 April 2026 and became generally available on 22 May for Business, Enterprise and Edu plans.

Cost has two layers. ChatGPT Business is $20 per user per month billed yearly ($25 monthly), with a two-seat minimum. Since 6 July 2026, agent runs inside ChatGPT use credits; a typical run on GPT-5.5 uses about 5 to 25, and the price per credit depends on your OpenAI contract. Runs triggered from Slack were still free when metering began.

Pick it if your company already works in ChatGPT and wants shared assistants for recurring tasks. Skip it if you need actions in many third-party apps or firm cost forecasts; Zapier and n8n are more predictable. See our ChatGPT page.

Google Workspace Studio is Google's no-code agent builder for Gmail, Docs, Sheets, Drive, Meet and Chat. You describe an automation in plain language, Gemini builds the flow, and the agent reasons over what it reads, for example triaging support emails, routing approvals, prioritising requests or summarising new files. It connects to Asana, Jira, Mailchimp and Salesforce, and can reach other systems through webhooks or custom Apps Script steps.

It became available on 3 December 2025 and reached Scheduled Release domains in March 2026. It is included in Google Workspace Business Starter, Standard and Plus, the Enterprise editions, education tiers and Google AI Pro and Ultra plans, so many teams already have it at no extra cost. Google says usage limits may change.

For agents that work across company systems beyond Workspace, Google sells Gemini Enterprise, whose Standard, Plus and pay-as-you-go editions let you build custom no-code agents (in preview). Developers get Agent Studio in the Gemini Enterprise Agent Platform, the new name for Vertex AI since April 2026.

Pick it if your team lives in Google Workspace and wants simple, reasoning-powered automations at no extra cost. Skip it if most of your work happens outside Google's apps; Zapier connects far more tools.

Dify is one of the most-starred open-source platforms for building AI apps and agents visually, with about 157,000 GitHub stars. Its canvas lets you chain model calls, knowledge-base lookups, tools and code into workflows, or set up autonomous agents that can run commands and manage files in a sandbox. It has built-in RAG for PDFs and slides, a plugin marketplace, MCP support and connections to hundreds of models from many providers.

You can self-host the Community edition for free or use Dify Cloud. The free Sandbox gives 200 message credits, 5 apps and 50 knowledge documents. Professional costs $590 a year (about $49/month) for 5,000 message credits a month, 3 team members and 50 apps; Team is $1,590 a year for 10,000 credits and up to 50 members. Enterprise, with SSO, is custom.

It sits between no-code and developer tools. Business staff can use apps built in Dify, but building them well takes some grasp of prompts, variables and APIs. The licence is Apache 2.0 with extra conditions, so read them before you build a commercial service on it.

Pick it if you want an open-source, self-hostable builder with document search built in. Skip it if you want a pure no-code tool for non-technical staff; Zapier Agents or Workspace Studio is easier.

Salesforce Agentforce is the agent builder to choose when your customer data, cases and processes already live in Salesforce. Agentforce Builder lets admins create agents that read and update Salesforce records and run the same flows your staff use, and it is included at no cost in Salesforce Foundations along with Prompt Builder and Agent Script.

Governance is the strongest selling point. Agents work inside Salesforce's existing permissions, sharing rules and audit tools, which matters when an agent touches customer records.

Running agents costs money in several ways. Flex Credits cost $500 per 100,000; a standard action uses 20 credits ($0.10) and a voice action 30 ($0.15). Customer-facing agents can instead be billed at $2 per conversation, even when the agent hands over to a person. Per-user add-ons for Sales or Service start at $125 per user per month, and the Max edition, which replaced Agentforce 1 in September 2026, costs $550 per user per month. That flexibility is useful but makes forecasting hard.

Setup usually needs Salesforce admins or a partner, and results depend on clean data and well-built actions.

Pick it if you are a Salesforce customer with admin capacity. Skip it if you do not use Salesforce; the platform only pays off when your data is already there. See our AI customer service ranking.

Relevance AI is built for teams that want a set of AI agents working together, which it calls a Workforce. You create agents in a no-code builder, give them tools and knowledge, and connect several into one workflow: one agent researches a lead, another writes the email, a third updates the CRM. The Enterprise plan adds calling and meeting agents, SSO and role-based access.

Pricing uses two meters. Actions count tool runs, and vendor credits pay for AI model use. Pro is $19/month billed yearly ($29 monthly) with 2,500 actions and $20 of vendor credits; Team is $234/month billed yearly ($349 monthly) with 7,000 actions and $70 of credits. All plans let you bring your own model API keys, which removes the vendor-credit cost. The free plan has been retired and is closed to new sign-ups.

Two meters that can each run out make costs harder to predict, and multi-agent setups take time to tune: when one agent in the chain makes a mistake, the next one inherits it.

Pick it if you want multi-agent workflows for sales or operations and have your own model keys. Skip it if you need a free tier or a simple single-agent assistant; Zapier Agents or Lindy are quicker to set up.

Lindy is less a workflow builder and more a personal AI assistant you set up by describing what you want. It works from Slack, manages inboxes, records and summarises meetings, handles scheduling and runs routines on a timetable, using more than 40 built-in skills. It can also operate a computer like a person, connect to thousands of integrations and use MCP tools, and you can choose the model.

Plans are per user. Plus is $29.99/month with 3,000 credits, Pro $99.99 with 15,000 and Max $199.99 with 35,000. Lindy says everyday tasks use 2 to 250 credits, deeper work 250 to 1,000 and big builds 1,000 to 2,500. Unused credits do not roll over, and agents pause when credits run low instead of running up a bill. Enterprise adds a HIPAA business associate agreement, audit logs and SSO. There is no free plan, only a 7-day trial for teammates who join through Slack.

The trade-off is control. Lindy shines at personal productivity but is less suited to precise, auditable processes between business systems, and credit use per task varies widely.

Pick it if you want an assistant for email, calendar and follow-ups without building flows. Skip it if you need exact, repeatable workflows; use n8n or Zapier. See our AI personal assistants ranking.

Gumloop started as a drag-and-drop workflow builder and has become an agent-first platform. Business users build agents and multi-step flows on a visual canvas, connect apps such as Slack, Salesforce and GitHub, and deploy agents for jobs like support triage or data research. In March 2026 it raised a $50 million Series B led by Benchmark, and it names customers including Shopify and Instacart.

Pricing got tougher this year. Gumloop removed its permanent free plan on 30 July 2026; new users get a 14-day Pro trial that needs a card. Pro starts at $37/month for 20,000 credits with unlimited seats, and scales to $1,840/month for 1,000,000 credits. Since August 2026, Gumloop passes model and compute costs through at cost and adds an 8% orchestration fee on top, or 16% if you bring your own API keys. That is transparent, but it makes bills harder to predict than a flat plan.

Its visual canvas is easy to follow, and Pro includes unlimited seats and teams. Governance is lighter than in the enterprise suites.

Pick it if you want a polished visual builder for team-wide agent workflows and are ready to pay from day one. Skip it if you want a free tier or predictable costs; Zapier Agents and n8n are cheaper to start.

Voiceflow is a builder for customer-facing chat and voice agents, used by support teams and by agencies that build agents for clients. You design how the agent behaves in a visual builder, connect knowledge and APIs, and deploy it to chat and voice channels. Developers can also work through its API.

Its pricing page no longer lists self-serve prices. There are now two tracks. Agencies and partners get a free trial with no card, usage-based billing, workspaces for managing many clients and white-labelling so agents carry the client's brand. Businesses get custom pricing after a demo, with a choice of self-serve or fully managed implementation. That makes Voiceflow hard to compare on cost, and small teams may find a sales-led process slow.

It is also a different kind of builder from most on this list. It is aimed at agents that talk to your customers, not at agents that do internal work across your apps.

Pick it if you are an agency building branded support agents for several clients, or a business that wants voice and chat agents with implementation help. Skip it if you want internal productivity agents or published prices. For phone-first options, see our AI voice agents ranking.