AutoGPT Platform vs Dify
Short answer
AutoGPT Platform: Visual builder for long-running AI agents and workflows, self-hostable as a single container. Dify: Visual platform for building LLM apps, RAG chatbots, agents and workflows. Both are in our AI app & agent builders category.
Choose AutoGPT Platform if you want: simpler deploy (one container vs a multi-container stack).
Choose Dify if you want: cheaper to host (from €19.99/mo vs €35.99/mo), lighter official minimum (4 GB vs 6 GB RAM) and fewer license conditions (Custom / conditional vs Source-available).
Last updated · computed from each project's official docs and live GitHub data · sources
AutoGPT Platform vs Dify side by side
| AutoGPT Platform | Dify | |
|---|---|---|
| Category | AI app & agent builders | AI app & agent builders |
| What it is | Visual builder for long-running AI agents and workflows, self-hostable as a single container. | Visual platform for building LLM apps, RAG chatbots, agents and workflows. |
| License | Polyform Shield 1.0.0 (autogpt_platform/); MIT for the rest | Dify Open Source License (modified Apache-2.0) |
| License type | Source-available | Custom / conditional |
| License conditions | The platform code in autogpt_platform/ is under the Polyform Shield License: use and modification for your business are allowed, but you may not use it to offer a product or service that competes with AutoGPT. The classic agent, Forge and benchmark outside that folder are MIT. | Commercial use is allowed, including as a backend for your own apps. Extra conditions: you may not run a multi-tenant service (one tenant = one workspace) without written permission, and you may not remove or modify the Dify logo or copyright in the frontend. |
| Status | Active | Active |
| GitHub stars | 188k | 160k |
| Last commit | Oct 27, 2026 | Oct 28, 2026 |
| Latest release | autogpt-platform-beta-v0.10.0 | 1.18.0 |
| Minimum hardware | 6 GB RAM | 2 vCPU · 4 GB RAM |
| Recommended hardware | Not published | Not published |
| RAM measured by us | Not tested yet | Not tested yet |
| GPU | Not required / not stated | Not required / not stated |
| Est. server cost | from €35.99/mo | from €19.99/mo |
| Deploy method | Docker (single container) | Docker Compose |
| Known gotchas | 4 listed | 2 listed |
| Telemetry | Not documented | On by default |
| Calls home by default | Not documented | Yes, by default |
| SSO (OIDC / SAML / LDAP) | Not documented | Paid / enterprise only |
| Audit log | Not documented | Not documented |
| RBAC | Not documented | Basic free, more in paid plan |
| Details | Full AutoGPT Platform guide → | Full Dify guide → |
Key differences
- License: AutoGPT Platform: Polyform Shield 1.0.0 (autogpt_platform/); MIT for the rest (Source-available). Dify: Dify Open Source License (modified Apache-2.0) (Custom / conditional).
- Official hardware: AutoGPT Platform: minimum 6 GB RAM. Dify: minimum 2 vCPU · 4 GB RAM.
- Est. server cost: AutoGPT Platform: from €35.99/mo. Dify: from €19.99/mo.
- Deploy: AutoGPT Platform: Docker (single container) · single container. Dify: Docker Compose · multi-container stack.
- GitHub stars: AutoGPT Platform: 188k. Dify: 160k.
- Last commit: AutoGPT Platform: Oct 27, 2026. Dify: Oct 28, 2026.
- Latest release: AutoGPT Platform: autogpt-platform-beta-v0.10.0 (Oct 27, 2026). Dify: 1.18.0 (Oct 23, 2026).
Same for both: Category: AI app & agent builders; GPU: not required or not stated; Status: Active.
AutoGPT Platform vs Dify: FAQ
AutoGPT Platform or Dify: which should a small business choose?
Choose AutoGPT Platform if you want: simpler deploy (one container vs a multi-container stack). Choose Dify if you want: cheaper to host (from €19.99/mo vs €35.99/mo), lighter official minimum (4 GB vs 6 GB RAM) and fewer license conditions (Custom / conditional vs Source-available).
Which is cheaper to self-host, AutoGPT Platform or Dify?
Dify: cheaper to host (from €19.99/mo vs €35.99/mo).
How much hardware do AutoGPT Platform and Dify need?
AutoGPT Platform: minimum 6 GB RAM. Dify: minimum 2 vCPU · 4 GB RAM.
What is the license difference between AutoGPT Platform and Dify?
AutoGPT Platform: Polyform Shield 1.0.0 (autogpt_platform/); MIT for the rest (Source-available). The platform code in autogpt_platform/ is under the Polyform Shield License: use and modification for your business are allowed, but you may not use it to offer a product or service that competes with AutoGPT. The classic agent, Forge and benchmark outside that folder are MIT. Dify: Dify Open Source License (modified Apache-2.0) (Custom / conditional). Commercial use is allowed, including as a backend for your own apps. Extra conditions: you may not run a multi-tenant service (one tenant = one workspace) without written permission, and you may not remove or modify the Dify logo or copyright in the frontend. This is a summary, not legal advice.
Is AutoGPT Platform or Dify more actively maintained?
AutoGPT Platform: Active, last commit Oct 27, 2026. Dify: Active, last commit Oct 28, 2026. GitHub data refreshed Oct 28, 2026.
Which is easier to deploy, AutoGPT Platform or Dify?
AutoGPT Platform installs via Docker (single container) (single container); Dify via Docker Compose (multi-container stack). AutoGPT Platform lists 4 known gotchas and Dify lists 2; see each app page.
Related
- AutoGPT Platform self-hosting guide · Dify self-hosting guide
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Sources
- AutoGPT Platform GitHub repository: github.com/Significant-Gravitas/AutoGPT
- AutoGPT Platform documentation, AutoGPT Platform hardware requirements: agpt.co/docs/platform/self-hosting/single-container
- AutoGPT Platform license: github.com/Significant-Gravitas/AutoGPT/blob/master/LICENSE
- AutoGPT Platform deploy instructions: github.com/Significant-Gravitas/AutoGPT#self-host-autogpt
- Dify GitHub repository: github.com/langgenius/dify
- Dify documentation, Dify hardware requirements: docs.dify.ai/en/self-host/deploy/quick-start/docker-compose
- Dify license: github.com/langgenius/dify/blob/main/LICENSE
- Dify deploy instructions: github.com/langgenius/dify#quick-start
- Hetzner Cloud pricing used for cost estimates (read 2026-10-25): www.hetzner.com/cloud/regular-performance
- GitHub REST API (stars, commits, releases): docs.github.com/en/rest
Every value is generated from the same verified data as the app pages. Spotted something wrong? Tell us.