Agents & automation · 9 tools · updated Oct 15, 2026
I want to automate a workflow between apps with AI steps
Make leads with an evidence score of 46/100, ahead of Lindy (15) and Langflow (15). 9 of 9 can be used free, 5 are open source. Best for power users building complex multi-step automations: Make.
Ranked by evidence — GitHub stars, Hacker News mentions, release activity and how much you can use for free. Recomputed nightly. How the score works.
+ Visual scenario canvas handles complex branching and iteration better than Zapier.
− Operations-based billing and error handling confuse newcomers.
+ Templates for sales and support agents work with Gmail, Slack, and HubSpot out of the box.
− Credit-based pricing is hard to forecast for always-on agents.
+ Python-native components can be edited inline, so flows are not limited to built-in nodes.
− Several critical security vulnerabilities in 2025 made exposed instances risky.
+ Self-hostable with code nodes and LangChain-based AI nodes at a fraction of Zapier's cost.
− Sustainable Use licence is not OSI open source and the learning curve is steeper than Zapier.
+ MIT-licensed core with pieces written in TypeScript that are easy to extend.
− Far fewer integrations than Zapier or n8n.
+ Covers prompt management, knowledge bases, and deployable APIs in one self-hostable app.
− Complex workflows get unwieldy in the visual canvas and version control is weak.
+ Fastest way to prototype a LangChain chatbot and expose it as an API or embed widget.
− Inherits LangChain's churn and breaks when node versions drift.
+ Built around AI nodes rather than bolting AI onto a classic automation tool.
− Credit consumption is opaque and paid tiers are expensive for individuals.
+ 8,000-plus app integrations, more than any competitor.
− Task-based pricing gets expensive fast at volume.
Head to head: Make vs Lindy Make vs Langflow Lindy vs Langflow
Missing a tool? It gets added when it shows up in the release feed with real traction, not by request.