AutoGPT Platform vs DB-GPT

Short answer

AutoGPT Platform: Visual builder for long-running AI agents and workflows, self-hostable as a single container. DB-GPT: AI data assistant that connects to your databases, writes SQL and code, and turns analysis into reports. Both are in our AI app & agent builders category.

Choose AutoGPT Platform if you want: larger community (188k vs 20.2k GitHub stars) and simpler deploy (one container vs a multi-container stack).

Choose DB-GPT 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 (Permissive vs Source-available).

Last updated · computed from each project's official docs and live GitHub data · sources

AutoGPT Platform vs DB-GPT side by side

AutoGPT PlatformDB-GPT
CategoryAI app & agent buildersAI app & agent builders
What it isVisual builder for long-running AI agents and workflows, self-hostable as a single container.AI data assistant that connects to your databases, writes SQL and code, and turns analysis into reports.
LicensePolyform Shield 1.0.0 (autogpt_platform/); MIT for the restMIT
License typeSource-availablePermissive
License conditionsThe 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.Permissive. Internal and commercial use, modification and redistribution allowed; keep the copyright and license notice.
StatusActiveActive
GitHub stars188k20.2k
Last commitNov 1, 2026Nov 2, 2026
Latest releaseautogpt-platform-beta-v0.10.0v0.8.2
Minimum hardware6 GB RAM2 vCPU · 4 GB RAM · 10 GB disk
Recommended hardwareNot publishedNot published
RAM measured by usNot tested yetNot tested yet
GPUNot required / not statedOptional. API proxy models (OpenAI, DeepSeek, Qwen, SiliconFlow) need no GPU and run on a CPU-only machine; local inference with vLLM or Hugging Face needs an NVIDIA GPU (8 GB+ VRAM for 7B models, 24 GB+ for 13B+).
Est. server costfrom €35.99/mofrom €19.99/mo
Deploy methodDocker (single container)Docker Compose (web server + MySQL)
Known gotchas4 listed4 listed
TelemetryNot documentedNot documented
Calls home by defaultNot documentedNot documented
SSO (OIDC / SAML / LDAP)Not documentedNot documented
Audit logNot documentedNot documented
RBACNot documentedNot documented
DetailsFull AutoGPT Platform guide →Full DB-GPT guide →

Key differences

  • License: AutoGPT Platform: Polyform Shield 1.0.0 (autogpt_platform/); MIT for the rest (Source-available). DB-GPT: MIT (Permissive).
  • Official hardware: AutoGPT Platform: minimum 6 GB RAM. DB-GPT: minimum 2 vCPU · 4 GB RAM · 10 GB disk.
  • GPU: AutoGPT Platform: not required or not stated. DB-GPT: optional / see notes.
  • Est. server cost: AutoGPT Platform: from €35.99/mo. DB-GPT: from €19.99/mo.
  • Deploy: AutoGPT Platform: Docker (single container) · single container. DB-GPT: Docker Compose (web server + MySQL) · multi-container stack.
  • GitHub stars: AutoGPT Platform: 188k. DB-GPT: 20.2k.
  • Last commit: AutoGPT Platform: Nov 1, 2026. DB-GPT: Nov 2, 2026.
  • Latest release: AutoGPT Platform: autogpt-platform-beta-v0.10.0 (Oct 27, 2026). DB-GPT: v0.8.2 (Aug 26, 2026).

Same for both: Category: AI app & agent builders; Status: Active.

AutoGPT Platform vs DB-GPT: FAQ

AutoGPT Platform or DB-GPT: which should a small business choose?

Choose AutoGPT Platform if you want: larger community (188k vs 20.2k GitHub stars) and simpler deploy (one container vs a multi-container stack). Choose DB-GPT 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 (Permissive vs Source-available).

Which is cheaper to self-host, AutoGPT Platform or DB-GPT?

DB-GPT: cheaper to host (from €19.99/mo vs €35.99/mo).

How much hardware do AutoGPT Platform and DB-GPT need?

AutoGPT Platform: minimum 6 GB RAM. DB-GPT: minimum 2 vCPU · 4 GB RAM · 10 GB disk.

What is the license difference between AutoGPT Platform and DB-GPT?

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. DB-GPT: MIT (Permissive). Permissive. Internal and commercial use, modification and redistribution allowed; keep the copyright and license notice. This is a summary, not legal advice.

Is AutoGPT Platform or DB-GPT more actively maintained?

AutoGPT Platform: Active, last commit Nov 1, 2026. DB-GPT: Active, last commit Nov 2, 2026. GitHub data refreshed Nov 3, 2026.

Which is easier to deploy, AutoGPT Platform or DB-GPT?

AutoGPT Platform installs via Docker (single container) (single container); DB-GPT via Docker Compose (web server + MySQL) (multi-container stack). AutoGPT Platform lists 4 known gotchas and DB-GPT lists 4; see each app page.

Related

Sources

Every value is generated from the same verified data as the app pages. Spotted something wrong? Tell us.