Home/Compare/ragflow vs UFO

Comparison

ragflow vs UFO

Verdict

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; pick UFO if a Python-based library specialized for cross-device orchestration and Windows automation.

Markdown twin · ragflow alternatives · UFO alternatives

GraphCanon updated 3d

ragflow logo

ragflow

infiniflow/ragflow

87kpushed Jul 31, 2026
vs
UFO logo

UFO

microsoft/UFO

9.5kpushed Aug 10, 2026

Trust & integrity

SignalragflowUFO
Maintenance
Very active (0d since push)
As of 3w · github_public_v1
Active (9d since push)
As of 3d · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Organization account
As of 3d · github_public_v1
OSV dependency advisories
Published findings
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

ragflow
Retrieval-Augmented Generation engine with agent capabilities
UFO
Weaving the Digital Agent Galaxy

Stars

ragflow
87k
UFO
9.5k

Forks

ragflow
10k
UFO
1.0k

Open issues

ragflow
2.0k
UFO
77

Language

ragflow
Go
UFO
Python

Adopt for

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.
UFO
A Python-based library specialized for cross-device orchestration and Windows automation.

Persona

ragflow
-
UFO
-

Runtime

ragflow
-
UFO
-

License

ragflow
Apache-2.0 License
UFO
MIT

Last pushed

ragflow
Jul 31, 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
2.0k
UFO
77

Stars delta

ragflow
Unknown
UFO
+220 (30d)

Open issues delta

ragflow
Unknown
UFO
+2 (30d)

Full 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.
  • Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services..
  • 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: agentic-ai, context management, rag, retrieval-augmented-generation.
  • Also covers Data & Retrieval.
  • ragflow ships Docker support for self-hosted deployment.
  • - 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.

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 on cards: ragflow 87k · UFO 9.5k (synced Aug 1, 2026).

Common questions

What is the difference between ragflow and UFO?
ragflow: Retrieval-Augmented Generation 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; Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services.; 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: agentic-ai, context management, rag, retrieval-augmented-generation; Also covers Data & Retrieval; ragflow ships Docker support for self-hosted deployment; - You need an integrated RAG system with AI agent capabilities for better context management in your applications.
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 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.
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 (86,541 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.

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