Connect apps, automate routine processes and build AI agents with dedicated automation tools. Discover visual builders, self-hosted platforms and enterprise services for linking models, data and business applications.
Zapier connects business apps through visual workflows, with AI steps that can analyze information and use connected tools. Forms and Tables provide inputs and shared data, while Copilot helps build automations. Its hosted platform suits teams connecting existing SaaS services without maintaining their own workflow server.
Make combines a visual automation canvas with app connectors, branching scenarios and AI-agent tools. Connect services, transform data and add agents that use knowledge, app actions or MCP tools. Its cloud platform is particularly relevant to operations teams building connected processes with detailed execution visibility.
n8n combines a visual workflow canvas with custom code and AI-agent nodes. Connect apps, models and tools in n8n Cloud or run the platform on your own infrastructure. Its workflow-execution billing and self-hosted Community edition make it relevant to technical teams building multi-step automation.
Microsoft Copilot Studio builds business agents that connect company knowledge, app tools and automated processes. Create structured conversations or agents that handle multi-step tasks, then publish to supported Microsoft and web channels. Its Power Platform environment brings business connections, deployment administration and credit-based usage management together.
Gemini Enterprise Agent Platform is Google Cloud’s developer platform for building, deploying and operating AI agents. Agent Studio, the Agent Development Kit and managed runtime services connect models, tools and enterprise data. The platform also includes evaluation and governance services for technical teams running agents beyond a local prototype.
Dify builds AI applications on a visual canvas that connects models, knowledge retrieval, tools and branching logic. Create document workflows, conversational assistants and agents, then share them as web apps or integrate them through an API or MCP. Managed Dify Cloud and self-hosted Community deployments offer different levels of operational control.
Gumloop builds AI agents that work with connected apps, company knowledge and reusable skills. Run them in a conversation, through team channels or from automated triggers, with tool permissions controlling the actions they can take. Its hosted platform combines model choice, MCP connectors and task-level visibility into usage costs.
Langflow is a visual builder for AI agents, retrieval applications and MCP services. Connect model, data and tool components, inspect their behavior in the Playground and extend the graph with Python. Developers can run the software locally or deploy their own server, then call flows through an API.
Lindy is an AI teammate for Slack, email, meetings and connected business tools. Shared skills, routines and workspace context help it carry out recurring work, while write actions wait for approval. Its current product focuses on requests inside a team’s existing communication tools, with pooled credits and active-user billing.
Relevance AI builds business agents and multi-agent teams called Workforces. Connect custom tools, knowledge and app integrations, then coordinate specialist agents on a visual canvas. Tool-level approval modes, scheduled triggers and task monitoring support recurring operations across sales, research, support and internal processes.
Zapier and Make connect services through workflows and visual automation. n8n adds hosted and self-hosted deployment. Triggers, connectors and scheduled runs bring AI into processes that extend beyond a single conversation.
Dify and Langflow support AI applications and connected-tool workflows. Gumloop, Lindy and Relevance AI provide agent-oriented experiences. Knowledge sources and tool access determine what an agent can read or act on; approval controls define where a person stays involved.
Microsoft Copilot Studio and Google’s enterprise agent platform add orchestration and governance. Billing across the category can use tasks, executions, actions, credits and underlying model charges. These units describe different operations, and self-hosting adds its own infrastructure and maintenance requirements.
An agent builder connects an AI model to instructions, knowledge and tools so it can carry out a process. Builders vary in how much coding, deployment work and oversight they require.
Some platforms provide self-hosted options, including n8n and selected AI application builders. Hosting, licensing and support conditions depend on the product.
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Product information checked 3 October 2026. About our editorial coverage
