Local Deep Research vs OpenCode
A side-by-side comparison of two self-hosted self-hosted ai options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Local Deep Research
AI-powered deep research tool with multi-source search (arXiv, PubMed,
VS
OpenCode
The open source AI coding agent
| Feature | Local Deep Research | OpenCode |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | free |
| Language | Python | TypeScript |
| Setup difficulty | Medium | Easy |
| Min. RAM | 512 MB | 512 MB |
| Deployment | docker | docker, one-click |
| GitHub stars | ★ 8,861 | ★ 194,821 |
| First released | 2026 | 2022 |
| Replaces | — | — |
Why pick each one
Choose Local Deep Research if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Mature project with 8.9k GitHub stars
- Written in Python
Choose OpenCode if…
- Easy to set up — beginner-friendly
- First-class Docker support for quick deployment
- One-click install on common self-host platforms
- Mature project with 194.8k GitHub stars
Frequently asked questions
Is Local Deep Research or OpenCode better?
OpenCode is the stronger all-round pick: it has both the larger community and the simpler easy setup. Consider Local Deep Research if its specific feature set fits your needs better.
Are Local Deep Research and OpenCode free and open-source?
Yes. Local Deep Research is licensed under MIT and OpenCode under free. Both can be self-hosted at no software cost.
Can I run Local Deep Research and OpenCode with Docker?
Local Deep Research: yes. OpenCode: yes.