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.
| Feature | Cognita | DSPy |
|---|---|---|
| Deploy effort | Under-an-hour setup | Read-the-docs project |
| Health score | 15 · At risk | 99 · Excellent |
| Status | Archived | Actively maintained |
| 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 | ★ 4,419 | ★ 38,243 |
| First released | 2024 | 2023 |
| Replaces | LangChain | LangChain |
What are Cognita and DSPy?
Cognita
Cognita is an open-source RAG framework that organizes retrieval-augmented generation code into reusable, modular components. It offers a UI for non-technical users and APIs for developers building document-grounded AI applications.
- Modular RAG components
- No-code UI
- Multiple vector store support
- Incremental indexing
DSPy
DSPy is a framework for building language model pipelines by writing modular Python code instead of brittle prompt strings. It can compile and optimize prompts automatically against metrics for self-hosted LLM applications.
- Declarative LLM modules
- Automatic prompt optimization
- Metric-driven compilation
- Works with local models
Cognita vs DSPy: key differences
The biggest difference is maintenance: Cognita's repository is archived and no longer developed, while DSPy is actively maintained. Both projects are written in Python. Licensing differs — Apache-2.0 for Cognita versus MIT for DSPy. DSPy is the lighter option, starting around 1,024 MB of RAM against 2,048 MB for Cognita. DSPy has the considerably larger community, at 38,243 GitHub stars versus 4,419. Cognita lists first-class Docker deployment; DSPy does not.
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
Watch out for
- Younger ecosystem
- Documentation gaps
Choose DSPy if…
- Programmatic prompt optimization
- Modular composable pipelines
- Strong research pedigree
Watch out for
- Conceptual learning curve
- Optimization runs cost tokens
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.
Which is lighter on resources, Cognita or DSPy?
DSPy has the smaller minimum footprint at 1,024 MB of RAM, compared to about 2,048 MB for Cognita. Real-world usage depends on library size, user count, and enabled features.