Comparison
DeepTutor vs ragflow
Verdict
Pick DeepTutor if deepTutor is an AI-based personalized tutoring system for lifelong learning, incorporating large language models and multi-agent systems in its architecture; pick ragflow if rAGFlow is a Retrieval-Augmented Generation (RAG) engine that integrates AI agents for enhanced context management in LLM applications, built using Go language and released under the Apache-2.0 license.
Markdown twin · DeepTutor alternatives · ragflow alternatives
GraphCanon updated 3d
Trust & integrity
| Signal | DeepTutor | ragflow |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3d · github_public_v1 | Very active (0d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3d · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 As of 1mo · osv@v1 | Published findings As of 1mo · 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
- DeepTutor
- Lifelong Personalized Tutoring
- ragflow
- Retrieval-Augmented Generation engine with agent capabilities
Stars
- DeepTutor
- 36k
- ragflow
- 87k
Forks
- DeepTutor
- 4.5k
- ragflow
- 10k
Open issues
- DeepTutor
- 108
- ragflow
- 2.0k
Language
- DeepTutor
- Python
- ragflow
- Go
Adopt for
- DeepTutor
- DeepTutor is an AI-based personalized tutoring system for lifelong learning, incorporating large language models and multi-agent systems in its architecture.
- ragflow
- RAGFlow is a Retrieval-Augmented Generation (RAG) engine that integrates AI agents for enhanced context management in LLM applications, built using Go language and released under the Apache-2.0 license.
Persona
- DeepTutor
- -
- ragflow
- -
Runtime
- DeepTutor
- -
- ragflow
- -
License
- DeepTutor
- Apache-2.0
- ragflow
- Apache-2.0 License
Last pushed
- DeepTutor
- Aug 16, 2026
- ragflow
- Jul 31, 2026
Categories
- DeepTutor
- AI Agents, LLM Frameworks
- ragflow
- AI Agents, Data & Retrieval
Trust and health
Open issues (now)
- DeepTutor
- 108
- ragflow
- 2.0k
Stars delta
- DeepTutor
- +8.7k (30d)
- ragflow
- Unknown
Open issues delta
- DeepTutor
- +42 (30d)
- ragflow
- Unknown
OSV dependency advisories
- DeepTutor
- No published findings from this source as of 2026-07-11
- ragflow
- Published findings
Full report
- DeepTutor
- Trust report
- ragflow
- Trust report
Typed relationship
DeepTutor alternative ragflowBoth DeepTutor and RAGFlow involve retrieval-augmented generation (RAG) to enhance the capabilities of AI agents with better context management, making them alternatives in this domain.
Choose DeepTutor if…
- DeepTutor is primarily Python; ragflow is Go.
- Pricing: The open-source version is freely available under the Apache-2.0 license with optional paid extras such as integration with partner instant messaging channels or advanced mathematical animation tools..
- Requirements: Min 4 GB RAM; Requires Docker.
- Both DeepTutor and RAGFlow involve retrieval-augmented generation (RAG) to enhance the capabilities of AI agents with better context management, making them alternatives in this domain.
- Tags unique to DeepTutor: ai-tutor, clawdbot, cli-tool, deepresearch.
- Also covers LLM Frameworks.
- Use DeepTutor when you require a comprehensive solution that can provide continuous personalization based on deep research and multi-agent systems.
When NOT to use DeepTutor
- Avoid using DeepTutor if your setup lacks the necessary computational resources to handle complex large language models and multi-agent interactions efficiently.
- Do not use it if you are looking for a tool with simpler installations; DeepTutor requires specific configuration steps, including frontend dependency adjustments and possibly Docker setups.
Choose ragflow if…
- ragflow is primarily Go; DeepTutor is Python.
- Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services..
- Both DeepTutor and RAGFlow involve retrieval-augmented generation (RAG) to enhance the capabilities of AI agents with better context management, making them alternatives in this domain.
- Tags unique to ragflow: agentic-ai, context management, retrieval-augmented-generation.
- Also covers Data & Retrieval.
- - You need an integrated RAG system with AI agent capabilities for better context management in your applications.
When NOT to use ragflow
- - If you specifically require a non-Golang developed RAG engine, as RAGFlow is built entirely in Go.
- - Your setup does not support or need Docker (RAGFlow requires building a Docker image that is approximately 2 GB).
- - You cannot use external LLM services and embedding services, as RAGFlow relies on them to function.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (HKUDS/DeepTutor) · observed Aug 17, 2026
- GitHub forks (HKUDS/DeepTutor) · observed Aug 17, 2026
- Last push (HKUDS/DeepTutor) · observed Aug 16, 2026
- License file (Apache-2.0) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (infiniflow/ragflow) · observed Aug 1, 2026
- GitHub forks (infiniflow/ragflow) · observed Aug 1, 2026
- Last push (infiniflow/ragflow) · observed Jul 31, 2026
- License file (Apache-2.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: DeepTutor 36k · ragflow 87k (synced Aug 17, 2026).
Common questions
- What is the difference between DeepTutor and ragflow?
- DeepTutor: Lifelong Personalized Tutoring. ragflow: Retrieval-Augmented Generation engine with agent capabilities. See the comparison table for live GitHub stats and shared categories.
- When should I choose DeepTutor over ragflow?
- Choose DeepTutor over ragflow when DeepTutor is primarily Python; ragflow is Go; Pricing: The open-source version is freely available under the Apache-2.0 license with optional paid extras such as integration with partner instant messaging channels or advanced mathematical animation tools.; Requirements: Min 4 GB RAM; Requires Docker; Both DeepTutor and RAGFlow involve retrieval-augmented generation (RAG) to enhance the capabilities of AI agents with better context management, making them alternatives in this domain; Tags unique to DeepTutor: ai-tutor, clawdbot, cli-tool, deepresearch; Also covers LLM Frameworks; Use DeepTutor when you require a comprehensive solution that can provide continuous personalization based on deep research and multi-agent systems.
- When should I choose ragflow over DeepTutor?
- Choose ragflow over DeepTutor when ragflow is primarily Go; DeepTutor is Python; Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services.; Both DeepTutor and RAGFlow involve retrieval-augmented generation (RAG) to enhance the capabilities of AI agents with better context management, making them alternatives in this domain; Tags unique to ragflow: agentic-ai, context management, retrieval-augmented-generation; Also covers Data & Retrieval; - You need an integrated RAG system with AI agent capabilities for better context management in your applications.
- When should I avoid DeepTutor?
- Avoid using DeepTutor if your setup lacks the necessary computational resources to handle complex large language models and multi-agent interactions efficiently. Do not use it if you are looking for a tool with simpler installations; DeepTutor requires specific configuration steps, including frontend dependency adjustments and possibly Docker setups.
- When should I avoid ragflow?
- - If you specifically require a non-Golang developed RAG engine, as RAGFlow is built entirely in Go. - Your setup does not support or need Docker (RAGFlow requires building a Docker image that is approximately 2 GB). - You cannot use external LLM services and embedding services, as RAGFlow relies on them to function.
- Is DeepTutor or ragflow more popular on GitHub?
- ragflow has more GitHub stars (86,541 vs 35,947). Stars measure visibility, not whether either tool fits your constraints.
- Are DeepTutor and ragflow open source?
- Yes - both are open-source projects on GitHub (DeepTutor: Apache-2.0, ragflow: Apache-2.0).
- Where can I find alternatives to DeepTutor or ragflow?
- GraphCanon lists graph-backed alternatives at DeepTutor alternatives and ragflow alternatives (DeepTutor markdown twin, ragflow 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, DeepTutor or ragflow?
- DeepTutor: Very active. ragflow: Very active. 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 DeepTutor and ragflow?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DeepTutor trust report; ragflow trust report.