Cognita vs DSPy
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?
Cognita
Modular framework for production-ready RAG systems
VS
DSPy
Framework for programming, not prompting, language models
| Feature | Cognita | DSPy |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | Apache-2.0 | MIT |
| Language | Python | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 2,048 MB | 1,024 MB |
| Deployment | docker | source |
| GitHub stars | ★ 4,414 | ★ 36,690 |
| First released | 2024 | 2023 |
| Replaces | LangChain | LangChain |
Why pick each one
Choose Cognita if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Active community (4.4k GitHub stars)
- Written in Python
Choose DSPy if…
- Released under the MIT license
- Mature project with 36.7k GitHub stars
- Written in Python
Frequently asked questions
Is Cognita or DSPy better?
Neither is universally better. DSPy has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are Cognita and DSPy free and open-source?
Yes. Cognita is licensed under Apache-2.0 and DSPy under MIT. Both can be self-hosted at no software cost.
Can I run Cognita and DSPy with Docker?
Cognita: yes. DSPy: check the project docs for container support.