AutoGPT vs Make
Make gives you a beautiful canvas for app-to-app scenarios. AutoGPT hands the whole job to an agent. Here's where each one fits.
Last updated Jun 10, 2026
Short version: choose Make when you want affordable, visual app-to-app scenarios and you're happy designing every step yourself. Choose AutoGPT when the work needs reasoning — an agent that decides, drafts, and acts end to end — or when you want the option to run the whole platform on your own infrastructure.
At a glance
| AutoGPT | Make | |
|---|---|---|
| Pricing model | Subscription (Pro and Max; Team coming soon) plus a pay-as-you-go credit wallet; the per-run rate is the same on every plan. Self-hosting is free. | Credit-based plans (credits replaced per-operation billing in 2025): free tier with 1,000 credits/month, paid plans from around $9/month. AI features consume more credits. |
| Source & self-hosting | Yes: Free to self-host with a one-line installer (Docker-based). Platform code is source-available (PolyForm Shield); the classic agent and tooling are MIT. | No: Proprietary SaaS, cloud only (an Enterprise-plan on-prem agent reaches internal systems, but the platform runs in Make's cloud). |
| AI-native agents | Yes: Agents that plan and execute multi-step goals are the core of the platform. | Partial: Make AI Agents (in beta as of June 2026) add reasoning steps to scenarios you design on the canvas. |
| Visual builder | Yes: Visual block builder, plus build-by-describing in plain language with AutoPilot. | Yes: Best-in-class visual scenario canvas with routers, filters, and error handlers. |
| Integrations | Built-in blocks for the major AI models and popular business apps, plus a marketplace of ready-made agents. | 3,000+ app integrations. |
| Best for | Judgement-heavy, recurring work an agent owns end to end. | Visually designed app-to-app scenarios on a budget. |
What is Make?
Make (formerly Integromat) is a visual workflow automation platform. You design scenarios on a drag-and-drop canvas — triggers, app modules, routers, filters, error handlers — across more than 3,000 integrations. It's widely liked for its expressive canvas and approachable pricing: plans are billed in credits (which replaced per-operation billing in 2025), with a free tier that covers light automation.
Make has been adding AI throughout the product, including Make AI Agents — agents that reason about what to do next inside a scenario — though the feature is still labelled beta as of June 2026. The scenario you design remains the backbone: AI steps run inside the structure you draw.
What is AutoGPT?
AutoGPT is an AI agent platform: instead of designing every step on a canvas, you hand an agent an outcome. Describe the job in plain language and let AutoPilot assemble it, or compose it from blocks in the visual builder. Agents run continuously — on schedules or triggers — making decisions at each step with AI models, with every run visible in your dashboard.
The platform grew out of the original AutoGPT open-source project, and you can run the whole thing yourself: self-hosting is free with a one-line installer (Docker-based), bringing your own model keys. The hosted cloud is the managed option, with a marketplace of ready-made agents to start from.
The core difference: you design scenarios, agents own outcomes
Make is at its best when you can draw the process: this module, then that one, route on a condition, retry on error. The canvas gives you precise control, and you pay for it in design time — every branch is yours to anticipate. An AutoGPT agent flips that: you specify the outcome and the guardrails, and the agent works out the path, including the cases you didn't draw.
On cost, Make's credit plans are inexpensive for light app-to-app work, with AI features consuming credits faster. AutoGPT bills each run's actual compute and model usage from a pre-paid wallet at the same rate on every plan — and self-hosting removes the platform fee for teams that want to run their own stack.
Which should you choose?
Choose Make if…
- You want to visually design every step and branch of a scenario yourself
- Your automations are app-to-app data work with predictable logic
- You're price-sensitive and the free or low-cost credit tiers cover your volume
- Your team already thinks in Make scenarios and they're working well
Choose AutoGPT if…
- The job needs reasoning the canvas can't anticipate — research, drafting, triage
- You want to describe the outcome in plain language instead of drawing each step
- You need to self-host for cost, control, or compliance
- You want agents running continuously, end to end, with a dashboard of every run
Frequently asked questions
Is AutoGPT a Make alternative?
For automation that needs judgement, yes. Both run scheduled and triggered automations, but Make executes scenarios you design step by step, while AutoGPT agents are handed a goal and work out the steps. Plenty of teams keep Make for simple data plumbing and move the thinking work to agents.
Doesn't Make have AI agents too?
It does — Make AI Agents can reason about what to do next inside a scenario, though the feature is still in beta as of June 2026. The difference is architectural: in Make, AI steps live inside scenarios you design; in AutoGPT, the agent is the unit of automation and the platform is built around running, monitoring, and sharing agents.
Can I self-host either platform?
Only AutoGPT. Make is cloud-only, while the AutoGPT platform is free to self-host with a one-line installer (Docker is the only prerequisite) — you bring your own model API keys and infrastructure. That matters for data-sensitive work and for controlling cost at scale.
Which is cheaper?
For light app-to-app automation, Make — its free and entry credit tiers are among the cheapest anywhere. For AI-heavy work the gap narrows: AI steps consume Make credits faster, while AutoGPT bills the actual compute and model usage per run from a credit wallet, with self-hosting as the zero-platform-fee option. See pricing for AutoGPT's numbers.
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