DeerFlow vs GPT Researcher
Short answer
DeerFlow: ByteDance's open-source super-agent harness for deep research, reports and multi-step tasks with sandboxes. GPT Researcher: Open-source deep research agent that browses the web and local documents and writes cited reports. Both are in our AI search & research assistants category.
Choose DeerFlow if you want: larger community (84.5k vs 30.3k GitHub stars).
Choose GPT Researcher if you want: cheaper to host (from €11.99/mo vs €69.99/mo) and lighter official minimum (2 GB vs 16 GB RAM).
Last updated · computed from each project's official docs and live GitHub data · sources
DeerFlow vs GPT Researcher side by side
| DeerFlow | GPT Researcher | |
|---|---|---|
| Category | AI search & research assistants | AI search & research assistants |
| What it is | ByteDance's open-source super-agent harness for deep research, reports and multi-step tasks with sandboxes. | Open-source deep research agent that browses the web and local documents and writes cited reports. |
| License | MIT | Apache-2.0 |
| License type | Permissive | Permissive |
| License conditions | Permissive. Internal and commercial use allowed; keep the license notice. | Permissive. Internal and commercial use allowed; keep license and notices. |
| Status | Active | Active |
| GitHub stars | 84.5k | 30.3k |
| Last commit | Oct 28, 2026 | Oct 10, 2026 |
| Latest release | v2.1.0 | v3.7.0 |
| Minimum hardware | 8 vCPU · 16 GB RAM · 40 GB disk | 1 vCPU · 2 GB RAM · 50 GB disk |
| Recommended hardware | 16 vCPU · 32 GB RAM | 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 €69.99/mo (recommended spec: €130.49/mo) | from €11.99/mo |
| Deploy method | Docker Compose (via make) | Docker Compose |
| Known gotchas | 4 listed | 3 listed |
| Telemetry | Not documented | Not documented |
| Calls home by default | Not documented | Yes, by default |
| SSO (OIDC / SAML / LDAP) | Not documented | Not documented |
| Audit log | Not documented | Not documented |
| RBAC | Yes, free | Not documented |
| Details | Full DeerFlow guide → | Full GPT Researcher guide → |
Key differences
- License: DeerFlow: MIT (Permissive). GPT Researcher: Apache-2.0 (Permissive).
- Official hardware: DeerFlow: minimum 8 vCPU · 16 GB RAM · 40 GB disk (recommended 16 vCPU · 32 GB RAM). GPT Researcher: minimum 1 vCPU · 2 GB RAM · 50 GB disk.
- Est. server cost: DeerFlow: from €69.99/mo. GPT Researcher: from €11.99/mo.
- Deploy: DeerFlow: Docker Compose (via make) · multi-container stack. GPT Researcher: Docker Compose · multi-container stack.
- GitHub stars: DeerFlow: 84.5k. GPT Researcher: 30.3k.
- Last commit: DeerFlow: Oct 28, 2026. GPT Researcher: Oct 10, 2026.
- Latest release: DeerFlow: v2.1.0 (Sep 24, 2026). GPT Researcher: v3.7.0 (Sep 26, 2026).
Same for both: Category: AI search & research assistants; GPU: not required or not stated; Status: Active.
DeerFlow vs GPT Researcher: FAQ
DeerFlow or GPT Researcher: which should a small business choose?
Choose DeerFlow if you want: larger community (84.5k vs 30.3k GitHub stars). Choose GPT Researcher if you want: cheaper to host (from €11.99/mo vs €69.99/mo) and lighter official minimum (2 GB vs 16 GB RAM).
Which is cheaper to self-host, DeerFlow or GPT Researcher?
GPT Researcher: cheaper to host (from €11.99/mo vs €69.99/mo).
How much hardware do DeerFlow and GPT Researcher need?
DeerFlow: minimum 8 vCPU · 16 GB RAM · 40 GB disk (recommended 16 vCPU · 32 GB RAM). GPT Researcher: minimum 1 vCPU · 2 GB RAM · 50 GB disk.
What is the license difference between DeerFlow and GPT Researcher?
DeerFlow: MIT (Permissive). Permissive. Internal and commercial use allowed; keep the license notice. GPT Researcher: Apache-2.0 (Permissive). Permissive. Internal and commercial use allowed; keep license and notices. This is a summary, not legal advice.
Is DeerFlow or GPT Researcher more actively maintained?
DeerFlow: Active, last commit Oct 28, 2026. GPT Researcher: Active, last commit Oct 10, 2026. GitHub data refreshed Oct 28, 2026.
Which is easier to deploy, DeerFlow or GPT Researcher?
DeerFlow installs via Docker Compose (via make) (multi-container stack); GPT Researcher via Docker Compose (multi-container stack). DeerFlow lists 4 known gotchas and GPT Researcher lists 3; see each app page.
Related
- DeerFlow self-hosting guide · GPT Researcher self-hosting guide
- All DeerFlow alternatives, ranked
- All GPT Researcher alternatives, ranked
- DeerFlow vs Khoj
- DeerFlow vs SurfSense
- DeerFlow vs Vane (formerly Perplexica)
- GPT Researcher vs Khoj
- GPT Researcher vs SurfSense
- GPT Researcher vs Vane (formerly Perplexica)
- Add a third app in the interactive comparison
Sources
- DeerFlow GitHub repository: github.com/bytedance/deer-flow
- DeerFlow documentation: github.com/bytedance/deer-flow#quick-start
- DeerFlow license: github.com/bytedance/deer-flow/blob/main/LICENSE
- DeerFlow hardware requirements: github.com/bytedance/deer-flow#deployment-sizing
- DeerFlow deploy instructions: github.com/bytedance/deer-flow#running-the-application
- GPT Researcher GitHub repository: github.com/assafelovic/gpt-researcher
- GPT Researcher documentation: docs.gptr.dev/
- GPT Researcher license: github.com/assafelovic/gpt-researcher/blob/main/LICENSE
- GPT Researcher hardware requirements: docs.gptr.dev/docs/gpt-researcher/getting-started/linux-deployment
- GPT Researcher deploy instructions: docs.gptr.dev/docs/gpt-researcher/getting-started/getting-started-with-docker
- 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.