CowAgent vs DB-GPT
Short answer
CowAgent: Self-hosted AI agent (formerly chatgpt-on-wechat) that answers in WeChat, WeCom, Feishu, DingTalk, Slack and a web console. 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 CowAgent if you want: larger community (47.8k vs 20.2k GitHub stars).
CowAgent publishes no official RAM figure, so we cannot compare hosting cost directly.
Last updated · computed from each project's official docs and live GitHub data · sources
CowAgent vs DB-GPT side by side
| CowAgent | DB-GPT | |
|---|---|---|
| Category | AI app & agent builders | AI app & agent builders |
| What it is | Self-hosted AI agent (formerly chatgpt-on-wechat) that answers in WeChat, WeCom, Feishu, DingTalk, Slack and a web console. | AI data assistant that connects to your databases, writes SQL and code, and turns analysis into reports. |
| License | MIT | MIT |
| License type | Permissive | Permissive |
| License conditions | Permissive. Internal and commercial use allowed; keep the copyright notice. | Permissive. Internal and commercial use, modification and redistribution allowed; keep the copyright and license notice. |
| Status | Active | Active |
| GitHub stars | 47.8k | 20.2k |
| Last commit | Nov 2, 2026 | Nov 2, 2026 |
| Latest release | 2.2.2 | v0.8.2 |
| Minimum hardware | Not published | 2 vCPU · 4 GB RAM · 10 GB disk |
| Recommended hardware | Not published | Not published |
| RAM measured by us | Not tested yet | Not tested yet |
| GPU | No. It calls the model providers you configure. | Optional. 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 cost | Not estimated | from €19.99/mo |
| Deploy method | Docker Compose (official compose file) | Docker Compose (web server + MySQL) |
| Known gotchas | 3 listed | 4 listed |
| Telemetry | Not documented | Not documented |
| Calls home by default | Not documented | Not documented |
| SSO (OIDC / SAML / LDAP) | Not documented | Not documented |
| Audit log | Not documented | Not documented |
| RBAC | Not documented | Not documented |
| Details | Full CowAgent guide → | Full DB-GPT guide → |
Key differences
- Official hardware: CowAgent: not published. DB-GPT: minimum 2 vCPU · 4 GB RAM · 10 GB disk.
- Est. server cost: CowAgent: not estimated (no official RAM figure). DB-GPT: from €19.99/mo.
- Deploy: CowAgent: Docker Compose (official compose file) · multi-container stack. DB-GPT: Docker Compose (web server + MySQL) · multi-container stack.
- GitHub stars: CowAgent: 47.8k. DB-GPT: 20.2k.
- Latest release: CowAgent: 2.2.2 (Oct 30, 2026). DB-GPT: v0.8.2 (Aug 26, 2026).
Same for both: Category: AI app & agent builders; License: MIT (Permissive); GPU: optional / see notes; Status: Active; Last commit: Nov 2, 2026.
CowAgent vs DB-GPT: FAQ
CowAgent or DB-GPT: which should a small business choose?
Choose CowAgent if you want: larger community (47.8k vs 20.2k GitHub stars). CowAgent publishes no official RAM figure, so we cannot compare hosting cost directly.
Which is cheaper to self-host, CowAgent or DB-GPT?
CowAgent: not estimated (no official RAM figure). DB-GPT: from €19.99/mo. Our estimate is the cheapest Hetzner Cloud plan that meets each project's official RAM and vCPU figure; it covers the server only.
How much hardware do CowAgent and DB-GPT need?
CowAgent: not published. DB-GPT: minimum 2 vCPU · 4 GB RAM · 10 GB disk.
What is the license difference between CowAgent and DB-GPT?
CowAgent: MIT (Permissive). Permissive. Internal and commercial use allowed; keep the copyright notice. 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 CowAgent or DB-GPT more actively maintained?
CowAgent: Active, last commit Nov 2, 2026. DB-GPT: Active, last commit Nov 2, 2026. GitHub data refreshed Nov 3, 2026.
Which is easier to deploy, CowAgent or DB-GPT?
CowAgent installs via Docker Compose (official compose file) (multi-container stack); DB-GPT via Docker Compose (web server + MySQL) (multi-container stack). CowAgent lists 3 known gotchas and DB-GPT lists 4; see each app page.
Related
- CowAgent self-hosting guide · DB-GPT self-hosting guide
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- Add a third app in the interactive comparison
Sources
- CowAgent GitHub repository: github.com/zhayujie/CowAgent
- CowAgent documentation, CowAgent hardware requirements: docs.cowagent.ai/guide/quick-start
- CowAgent license: github.com/zhayujie/CowAgent/blob/master/LICENSE
- CowAgent deploy instructions: github.com/zhayujie/CowAgent#readme
- DB-GPT GitHub repository: github.com/eosphoros-ai/DB-GPT
- DB-GPT documentation, DB-GPT deploy instructions: github.com/eosphoros-ai/DB-GPT/blob/main/docs/docs/getting-started/deploy/docker-compose.md
- DB-GPT license: github.com/eosphoros-ai/DB-GPT/blob/main/LICENSE
- DB-GPT hardware requirements: github.com/eosphoros-ai/DB-GPT/blob/main/docs/docs/getting-started/prerequisites.md
- Hetzner Cloud pricing used for cost estimates (read 2026-11-01): 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.