Last Updated: April 2026
Make AI Agents
VerifiedMake (formerly Integromat) provides visual automation with AI steps and agent-style scenarios for connecting apps, transforming data, and running monitored workflows.
Visual automation platform with AI steps and monitored multi-app scenarios.
At a glance
- Primary category: AI Agents
- Best for: users who want a more specialized AI chat experience, especially if you care about Automation, Visual Builder, Integrations
- Key features: Automation, Visual Builder, Integrations, Scenarios, AI
Quick take
Make (formerly Integromat) provides visual automation with AI steps and agent-style scenarios for connecting apps, transforming data, and running monitored workflows. A clear strength highlighted in our listing is Mature scenario engine with strong connector breadth. A likely tradeoff is Pricing and operations complexity at scale.
Why people choose Make AI Agents
Strengths pulled from our listing review and user-facing positioning.
- +Mature scenario engine with strong connector breadth. This is one of the reasons users pick Make AI Agents over alternatives in the same category.
- +Good middle ground between Zapier-style ops and code. This is one of the reasons users pick Make AI Agents over alternatives in the same category.
- +Useful for cross-system orchestration. This is one of the reasons users pick Make AI Agents over alternatives in the same category.
Things to know before choosing Make AI Agents
Tradeoffs and limits worth considering before you commit.
- −Pricing and operations complexity at scale. The interface or setup process is more involved than simpler alternatives. New users may need time to figure out the workflow.
- −Not a full autonomous coding agent. Worth weighing against the strengths before committing to Make AI Agents as your main tool.
- −Advanced branching still rewards technical owners. Worth weighing against the strengths before committing to Make AI Agents as your main tool.
Top Make AI Agents Alternatives
OpenClawOpenClaw is a local-first personal AI agent that can work across messaging apps, browser tasks, files, and system tools from a self-hosted setup.
Hermes Agent is Nous Research's open-source, self-hosted personal agent with a learning loop, SQLite-backed memory, MCP extensibility, and gateways for Telegram, Discord, Slack, WhatsApp, Signal, and CLI.
Devin is Cognition's autonomous software engineering agent that plans, writes code, runs tests, and iterates in a dedicated environment for end-to-end development tasks.
Compare Make AI Agents
FAQ
What does Make AI Agents do best?
Make (formerly Integromat) provides visual automation with AI steps and agent-style scenarios for connecting apps, transforming data, and running monitored workflows. It is especially notable for mature scenario engine with strong connector breadth.
Is Make AI Agents open-source, local-first, or self-hosted?
Make AI Agents is presented more like a product or framework than a purely open-source self-hosted stack. If deployment control matters to you, review the official docs before adopting it.
Does Make AI Agents support browser automation or external tools?
Make AI Agents appears to support tools, workflows, or external integrations (often via MCP or similar tool layers), which is what separates real agents from single-turn chat.
Who should use Make AI Agents?
Make AI Agents is best for teams and builders shipping agentic workflows—coding loops, browser automation, or orchestrated tools—rather than casual single-prompt chat, especially as agents move into production in 2026.
Alternatives and Similar Tools
Hermes Agent is Nous Research's open-source, self-hosted personal agent with a learning loop, SQLite-backed memory, MCP extensibility, and gateways for Telegram, Discord, Slack, WhatsApp, Signal, and CLI.
Devin is Cognition's autonomous software engineering agent that plans, writes code, runs tests, and iterates in a dedicated environment for end-to-end development tasks.
LangGraph is a graph-based orchestration framework for building stateful, long-running AI agents with retries, branching, and human-in-the-loop control.
CrewAI is a popular framework for building multi-agent systems where specialized agents collaborate on complex business and automation workflows.
OpenAI Agents SDK is a lightweight framework for building tool-using and multi-agent workflows with handoffs, tracing, and guardrails.
Browser Use is an open-source Python layer that connects LLMs to real browser sessions so agents can navigate, extract data, and complete multi-step web tasks—often paired with orchestrators like n8n or frameworks for production web agents in 2026.
Skyvern is an open-source computer-vision browser agent for automating form-heavy and legacy web workflows—insurance, government, and procurement portals—with natural-language goals instead of brittle selectors alone.
Firecrawl provides crawl, scrape, and search APIs many teams use as the web data layer for research agents, monitoring bots, and RAG pipelines—feeding clean markdown or structured output into downstream LLM agents.




