Comparison
minima vs R2R
Verdict
Pick minima if minima is an on-premises conversational RAG tool with flexible deployment options through Docker-compose configurations, catering to fully local setups (Ollama), custom LLMs, ChatGPT integration, and MCP usage; pick R2R if r2R is a state-of-the-art retrieval system that supports retrieval-augmented generation (RAG) and offers a RESTful API for integration, built in Python and deployable via Docker.
Markdown twin · minima alternatives · R2R alternatives
GraphCanon updated Sep 20, 2026
9views this month
Trust & integrity
| Signal | minima | R2R |
|---|---|---|
| Maintenance | Slowing (240d since push) As of Sep 20, 2026 · github_public_v1 | Slowing (315d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- minima
- On-premises conversational RAG with configurable containers
- R2R
- SoTA production-ready AI retrieval system with RESTful API
Stars
- minima
- 1.0k
- R2R
- 8.0k
Forks
- minima
- 105
- R2R
- 647
Open issues
- minima
- 15
- R2R
- 126
Language
- minima
- Python
- R2R
- Python
Adopt for
- minima
- Minima is an on-premises conversational RAG tool with flexible deployment options through Docker-compose configurations, catering to fully local setups (Ollama), custom LLMs, ChatGPT integration, and MCP usage.
- R2R
- R2R is a state-of-the-art retrieval system that supports retrieval-augmented generation (RAG) and offers a RESTful API for integration, built in Python and deployable via Docker.
Persona
- minima
- -
- R2R
- -
Runtime
- minima
- -
- R2R
- -
License
- minima
- MPL-2.0
- R2R
- MIT License
Last pushed
- minima
- Jan 22, 2026
- R2R
- Nov 7, 2025
Categories
- minima
- Data & Retrieval, Inference & Serving, Model Training
- R2R
- Data & Retrieval, Inference & Serving
Trust and health
Days since push
- minima
- 240d
- R2R
- 315d
Open issues (now)
- minima
- 15
- R2R
- 126
Stars delta
- minima
- +1 (30d)
- R2R
- +32 (30d)
Open issues delta
- minima
- +1 (30d)
- R2R
- +4 (30d)
Full report
- minima
- Trust report
- R2R
- Trust report
Choose minima if…
- License: minima is MPL-2.0, R2R is MIT.
- Tags unique to minima: ai, claude, custom-gpts, docker.
- Also covers Model Training.
- - Use Minima for full local control over sensitive data in high-security environments where on-premises deployments are essential.
When NOT to use minima
- - Avoid using Minima if your organization requires strict adherence to a cloud-only deployment strategy.
- - Do not choose Minima if you prefer tools that handle local file storage and security entirely through cloud services rather than on-premises configurations.
Choose R2R if…
- License: R2R is MIT, minima is MPL-2.0.
- Pricing: The core R2R system is free to use under the MIT License, but additional services or integrations may incur costs..
- Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for deployment.; Python environment is necessary for installation and operation..
- Tags unique to R2R: artificial-intelligence, large-language-models, python, question-answering.
- When you need a production-ready AI retrieval system that supports retrieval-augmented generation (RAG) and can be integrated via RESTful API.
When NOT to use R2R
- If your project does not require retrieval-augmented generation (RAG) capabilities, as R2R is specifically designed with this feature.
- If you are looking for a tool that does not require Docker for deployment, as R2R is optimized for Docker-based setups.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (dmayboroda/minima) · observed Sep 20, 2026
- GitHub forks (dmayboroda/minima) · observed Sep 20, 2026
- Last push (dmayboroda/minima) · observed Jan 22, 2026
- License file (MPL-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (SciPhi-AI/R2R) · observed Sep 20, 2026
- GitHub forks (SciPhi-AI/R2R) · observed Sep 20, 2026
- Last push (SciPhi-AI/R2R) · observed Nov 7, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: minima 1.0k · R2R 8.0k (synced Sep 20, 2026).
Common questions
- What is the difference between minima and R2R?
- minima: On-premises conversational RAG with configurable containers. R2R: SoTA production-ready AI retrieval system with RESTful API. See the comparison table for live GitHub stats and shared categories.
- When should I choose minima over R2R?
- Choose minima over R2R when License: minima is MPL-2.0, R2R is MIT; Tags unique to minima: ai, claude, custom-gpts, docker; Also covers Model Training; - Use Minima for full local control over sensitive data in high-security environments where on-premises deployments are essential.
- When should I choose R2R over minima?
- Choose R2R over minima when License: R2R is MIT, minima is MPL-2.0; Pricing: The core R2R system is free to use under the MIT License, but additional services or integrations may incur costs.; Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for deployment.; Python environment is necessary for installation and operation.; Tags unique to R2R: artificial-intelligence, large-language-models, python, question-answering; When you need a production-ready AI retrieval system that supports retrieval-augmented generation (RAG) and can be integrated via RESTful API.
- When should I avoid minima?
- - Avoid using Minima if your organization requires strict adherence to a cloud-only deployment strategy. - Do not choose Minima if you prefer tools that handle local file storage and security entirely through cloud services rather than on-premises configurations.
- When should I avoid R2R?
- If your project does not require retrieval-augmented generation (RAG) capabilities, as R2R is specifically designed with this feature. If you are looking for a tool that does not require Docker for deployment, as R2R is optimized for Docker-based setups.
- Is minima or R2R more popular on GitHub?
- R2R has more GitHub stars (7,999 vs 1,049). Stars measure visibility, not whether either tool fits your constraints.
- Are minima and R2R open source?
- Yes - both are open-source projects on GitHub (minima: MPL-2.0, R2R: MIT).
- Where can I find alternatives to minima or R2R?
- GraphCanon lists graph-backed alternatives at minima alternatives and R2R alternatives (minima markdown twin, R2R markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, minima or R2R?
- minima: Slowing. R2R: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for minima and R2R?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: minima trust report; R2R trust report.