AutoGen vs Make (formerly Integromat)

AutoGen

• ✓Backed by Microsoft Research with strong academic foundations
• ✓Excellent multi-agent conversation patterns out of the box
• ✓Human-in-the-loop support built into the core architecture
• ✓Event-driven architecture in v0.4 for better scalability
• ✓Free and open-source with active development

Make (formerly Integromat)

• ✓Beautiful visual canvas makes complex workflows easy to understand
• ✓1,500+ native app integrations — connects to almost anything
• ✓Powerful branching, looping, and error handling logic
• ✓Free tier includes 1,000 operations per month
• ✓Native AI model integrations (OpenAI, Anthropic, etc.)

AutoGen

• !API underwent major rewrite from v0.2 to v0.4 — migration can be painful
• !Primarily Python-focused, limited support for other languages
• !Less production tooling compared to LangChain ecosystem
• !Documentation can lag behind rapid development pace

Make (formerly Integromat)

• !Complex scenarios can become visually cluttered on the canvas
• !Operation-based pricing can get expensive at scale
• !Some advanced features require the paid Teams plan
• !Learning curve for advanced features like iterators and aggregators

AutoGen

• →Building a coding assistant where agents write, review, and test code together
• →Creating a research workflow with debate-style multi-agent reasoning
• →Implementing human-supervised AI workflows with approval checkpoints

Make (formerly Integromat)

• →Automating a lead qualification pipeline with AI analysis and CRM updates
• →Building an email triage agent that categorizes and responds to inquiries
• →Creating a content generation workflow that publishes across platforms

AutoGen

AutoGen, developed by Microsoft Research, is a framework for building applications where multiple AI agents converse with each other (and optionally humans) to solve tasks. It pioneered the concept of conversable agents with customizable behaviors. AutoGen 0.4 introduced an event-driven architecture with better scalability and modularity. It's particularly strong for research applications and complex reasoning tasks requiring multi-turn agent discussions.

Make (formerly Integromat)

Make is a powerful visual workflow automation platform that now deeply integrates AI capabilities. Users build workflows by connecting modules on a visual canvas, making it accessible to non-developers. With native OpenAI, Anthropic, and other AI integrations, Make has become a go-to tool for building AI agent workflows that connect to 1,500+ apps. It handles complex branching logic, error handling, and scheduling — all visually.