Comparison
ragflow vs UFO
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 UFO if a Python-based library specialized for cross-device orchestration and Windows automation.
Markdown twin · ragflow alternatives · UFO alternatives
GraphCanon updated Sep 20, 2026
10views this month
Trust & integrity
| Signal | ragflow | UFO |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Active (9d since push) As of Aug 19, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 19, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Sep 18, 2026 · osv@v1 | Published findings As of Jul 11, 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
- UFO
- Weaving the Digital Agent Galaxy
Stars
- ragflow
- 91k
- UFO
- 9.5k
Forks
- ragflow
- 11k
- UFO
- 1.0k
Open issues
- ragflow
- 1.4k
- UFO
- 77
Language
- ragflow
- Go
- UFO
- 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.
- UFO
- A Python-based library specialized for cross-device orchestration and Windows automation.
Persona
- ragflow
- -
- UFO
- -
Runtime
- ragflow
- -
- UFO
- -
License
- ragflow
- Apache-2.0
- UFO
- MIT
Last pushed
- ragflow
- Sep 18, 2026
- UFO
- Aug 10, 2026
Categories
- ragflow
- AI Agents, Data & Retrieval
- UFO
- AI Agents
Trust and health
Maintenance
- ragflow
- Very active (96%)
- UFO
- Active (82%)
Days since push
- ragflow
- 0d
- UFO
- 9d
Open issues (now)
- ragflow
- 1.4k
- UFO
- 77
Stars delta
- ragflow
- +4.4k (30d)
- UFO
- +220 (30d)
Open issues delta
- ragflow
- -553 (30d)
- UFO
- +2 (30d)
Full report
- ragflow
- Trust report
- UFO
- Trust report
Typed relationship
ragflow alternative UFORAGFlow focuses on Retrieval-Augmented Generation and LLM context management, similar to UFO³'s task focus areas including complex automation and task orchestration.
Choose ragflow if…
- ragflow is primarily Go; UFO is Python.
- License: ragflow is Apache-2.0, UFO is MIT.
- RAGFlow focuses on Retrieval-Augmented Generation and LLM context management, similar to UFO³'s task focus areas including complex automation and task orchestration.
- Tags unique to ragflow: agent-harness, agentic-ai, agentic-retrieval, agentic-search.
- Also covers Data & Retrieval.
- 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 UFO if…
- UFO is primarily Python; ragflow is Go.
- License: UFO is MIT, ragflow is Apache-2.0.
- RAGFlow focuses on Retrieval-Augmented Generation and LLM context management, similar to UFO³'s task focus areas including complex automation and task orchestration.
- Tags unique to UFO: agent, automation, copilot, gui.
- When you need to implement cross-device orchestration tasks that require integration with Windows systems.
When NOT to use UFO
- For projects specifically requiring heavy Linux system automation or when the target environment is entirely non-Windows based.
- In scenarios where minimal dependencies are required and simplicity of setup is crucial, as UFO might introduce additional complexity with its rich feature set.
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 (microsoft/UFO) · observed Sep 20, 2026
- GitHub forks (microsoft/UFO) · observed Sep 20, 2026
- Last push (microsoft/UFO) · observed Aug 10, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ragflow 91k · UFO 9.5k (synced Sep 20, 2026).
Common questions
- What is the difference between ragflow and UFO?
- ragflow: Retrieval-Augmented Generation (RAG) engine with agent capabilities. UFO: Weaving the Digital Agent Galaxy. See the comparison table for live GitHub stats and shared categories.
- When should I choose ragflow over UFO?
- Choose ragflow over UFO when ragflow is primarily Go; UFO is Python; License: ragflow is Apache-2.0, UFO is MIT; RAGFlow focuses on Retrieval-Augmented Generation and LLM context management, similar to UFO³'s task focus areas including complex automation and task orchestration; Tags unique to ragflow: agent-harness, agentic-ai, agentic-retrieval, agentic-search; Also covers Data & Retrieval; 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 UFO over ragflow?
- Choose UFO over ragflow when UFO is primarily Python; ragflow is Go; License: UFO is MIT, ragflow is Apache-2.0; RAGFlow focuses on Retrieval-Augmented Generation and LLM context management, similar to UFO³'s task focus areas including complex automation and task orchestration; Tags unique to UFO: agent, automation, copilot, gui; When you need to implement cross-device orchestration tasks that require integration with Windows systems.
- 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 UFO?
- For projects specifically requiring heavy Linux system automation or when the target environment is entirely non-Windows based. In scenarios where minimal dependencies are required and simplicity of setup is crucial, as UFO might introduce additional complexity with its rich feature set.
- Is ragflow or UFO more popular on GitHub?
- ragflow has more GitHub stars (90,923 vs 9,517). Stars measure visibility, not whether either tool fits your constraints.
- Are ragflow and UFO open source?
- Yes - both are open-source projects on GitHub (ragflow: Apache-2.0, UFO: MIT).
- Where can I find alternatives to ragflow or UFO?
- GraphCanon lists graph-backed alternatives at ragflow alternatives and UFO alternatives (ragflow markdown twin, UFO 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 UFO?
- ragflow: Very active. UFO: 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 ragflow and UFO?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ragflow trust report; UFO trust report.