Comparison
ragflow vs JARVIS
Verdict
Pick ragflow if rAGFlow is an open-source RAG engine that integrates agent capabilities to enhance context management for LLMs, built in Go under the Apache-2.0 license; pick JARVIS if jARVIS is a Python-based AI assistant offering multifunctional capabilities including voice interaction and visual interfaces.
Markdown twin · ragflow alternatives · JARVIS alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | ragflow | JARVIS |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Steady (51d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Sep 18, 2026 · osv@v1 | No published findings from this source as of 2026-07-15 As of Jul 15, 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
- ragflow
- Retrieval-Augmented Generation (RAG) engine with agent capabilities
- JARVIS
- A versatile AI assistant that integrates various functionalities
Stars
- ragflow
- 91k
- JARVIS
- 147
Forks
- ragflow
- 11k
- JARVIS
- 64
Open issues
- ragflow
- 1.4k
- JARVIS
- 2
Language
- ragflow
- Go
- JARVIS
- Python
Adopt for
- ragflow
- RAGFlow is an open-source RAG engine that integrates agent capabilities to enhance context management for LLMs, built in Go under the Apache-2.0 license.
- JARVIS
- JARVIS is a Python-based AI assistant offering multifunctional capabilities including voice interaction and visual interfaces.
Persona
- ragflow
- -
- JARVIS
- -
Runtime
- ragflow
- -
- JARVIS
- -
License
- ragflow
- Apache-2.0
- JARVIS
- MIT
Last pushed
- ragflow
- Sep 18, 2026
- JARVIS
- Jul 30, 2026
Categories
- ragflow
- AI Agents, Data & Retrieval
- JARVIS
- AI Agents, Data & Retrieval, Speech & Audio
Trust and health
Maintenance
- ragflow
- Very active (96%)
- JARVIS
- Steady (60%)
Days since push
- ragflow
- 0d
- JARVIS
- 51d
Open issues (now)
- ragflow
- 1.4k
- JARVIS
- 2
Stars delta
- ragflow
- +4.4k (30d)
- JARVIS
- +4 (30d)
Open issues delta
- ragflow
- -553 (30d)
- JARVIS
- 0 (30d)
Owner type
- ragflow
- Organization
- JARVIS
- User
OSV dependency advisories
- ragflow
- Published findings
- JARVIS
- No published findings from this source as of 2026-07-15
Full report
- ragflow
- Trust report
- JARVIS
- Trust report
Choose ragflow if…
- ragflow is primarily Go; JARVIS is Python.
- License: ragflow is Apache-2.0, JARVIS is MIT.
- Tags unique to ragflow: agent-harness, agentic-ai, agentic-retrieval, agentic-search.
- ragflow ships Docker support for self-hosted deployment.
- When you need an open-source RAG engine that can integrate with external LLM and embedding services to enhance context management.
When NOT to use ragflow
- If your project does not require integration with external LLM and embedding services, as RAGFlow relies on these services.
- If you are looking for a lightweight solution, as RAGFlow's Docker image is approximately 2 GB in size.
- When you prefer tools that do not require building a Docker image, as RAGFlow's setup involves creating a Docker image.
Choose JARVIS if…
- JARVIS is primarily Python; ragflow is Go.
- License: JARVIS is MIT, ragflow is Apache-2.0.
- Tags unique to JARVIS: agent, agents, assistant, g4f.
- Also covers Speech & Audio.
- Use JARVIS if you require an offline-capable AI assistant with local LLM support, enhancing privacy and reducing reliance on cloud services.
When NOT to use JARVIS
- Avoid using JARVIS if you need a solution that strictly operates in an online environment; it is better suited for scenarios where both offline and online modes are acceptable.
- Do not use JARVIS if your project requires highly specialized functionality that the multifunctional design of JARVIS cannot support with its current integrations.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (infiniflow/ragflow) · observed Sep 20, 2026
- GitHub forks (infiniflow/ragflow) · observed Sep 20, 2026
- Last push (infiniflow/ragflow) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (Likhithsai2580/JARVIS) · observed Sep 20, 2026
- GitHub forks (Likhithsai2580/JARVIS) · observed Sep 20, 2026
- Last push (Likhithsai2580/JARVIS) · observed Jul 30, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: ragflow 91k · JARVIS 147 (synced Sep 20, 2026).
Common questions
- What is the difference between ragflow and JARVIS?
- ragflow: Retrieval-Augmented Generation (RAG) engine with agent capabilities. JARVIS: A versatile AI assistant that integrates various functionalities. See the comparison table for live GitHub stats and shared categories.
- When should I choose ragflow over JARVIS?
- Choose ragflow over JARVIS when ragflow is primarily Go; JARVIS is Python; License: ragflow is Apache-2.0, JARVIS is MIT; Tags unique to ragflow: agent-harness, agentic-ai, agentic-retrieval, agentic-search; ragflow ships Docker support for self-hosted deployment; When you need an open-source RAG engine that can integrate with external LLM and embedding services to enhance context management.
- When should I choose JARVIS over ragflow?
- Choose JARVIS over ragflow when JARVIS is primarily Python; ragflow is Go; License: JARVIS is MIT, ragflow is Apache-2.0; Tags unique to JARVIS: agent, agents, assistant, g4f; Also covers Speech & Audio; Use JARVIS if you require an offline-capable AI assistant with local LLM support, enhancing privacy and reducing reliance on cloud services.
- When should I avoid ragflow?
- If your project does not require integration with external LLM and embedding services, as RAGFlow relies on these services. If you are looking for a lightweight solution, as RAGFlow's Docker image is approximately 2 GB in size. When you prefer tools that do not require building a Docker image, as RAGFlow's setup involves creating a Docker image.
- When should I avoid JARVIS?
- Avoid using JARVIS if you need a solution that strictly operates in an online environment; it is better suited for scenarios where both offline and online modes are acceptable. Do not use JARVIS if your project requires highly specialized functionality that the multifunctional design of JARVIS cannot support with its current integrations.
- Is ragflow or JARVIS more popular on GitHub?
- ragflow has more GitHub stars (90,923 vs 147). Stars measure visibility, not whether either tool fits your constraints.
- Are ragflow and JARVIS open source?
- Yes - both are open-source projects on GitHub (ragflow: Apache-2.0, JARVIS: MIT).
- Where can I find alternatives to ragflow or JARVIS?
- GraphCanon lists graph-backed alternatives at ragflow alternatives and JARVIS alternatives (ragflow markdown twin, JARVIS 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, ragflow or JARVIS?
- ragflow: Very active. JARVIS: Steady. 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 ragflow and JARVIS?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ragflow trust report; JARVIS trust report.