Home/Compare/ragflow vs mastra

Comparison

ragflow vs mastra

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 mastra if mastra is a modern TypeScript framework tailored specifically for building AI-powered applications and agents, supporting technologies like chatbots, language models, and TTS.

Markdown twin · ragflow alternatives · mastra alternatives

GraphCanon updated 6d

ragflow logo

ragflow

infiniflow/ragflow

87kpushed Jul 31, 2026
vs
mastra logo

mastra

mastra-ai/mastra

27kpushed Aug 16, 2026

Trust & integrity

Signalragflowmastra
Maintenance
Very active (0d since push)
As of 3w · github_public_v1
Very active (0d since push)
As of 6d · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Organization account
As of 6d · github_public_v1
OSV dependency advisories
Published findings
As of 1mo · osv@v1
No lockfile (source not queried)
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
mastra
Modern TypeScript framework for AI-powered applications and agents

Stars

ragflow
87k
mastra
27k

Forks

ragflow
10k
mastra
2.6k

Open issues

ragflow
2.0k
mastra
469

Language

ragflow
Go
mastra
TypeScript

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.
mastra
Mastra is a modern TypeScript framework tailored specifically for building AI-powered applications and agents, supporting technologies like chatbots, language models, and TTS.

Persona

ragflow
-
mastra
-

Runtime

ragflow
-
mastra
-

License

ragflow
Apache-2.0 License
mastra
Mastra operates under a dual-license model with its core components licensed under Apache-2.0 and enterprise-exclusive features under the proprietary Mastra Enterprise License.

Last pushed

ragflow
Jul 31, 2026
mastra
Aug 16, 2026

Categories

ragflow
AI Agents, Data & Retrieval
mastra
AI Agents, Evaluation & Observability, LLM Frameworks, Speech & Audio

Trust and health

Open issues (now)

ragflow
2.0k
mastra
469

Stars delta

ragflow
Unknown
mastra
+954 (30d)

Open issues delta

ragflow
Unknown
mastra
+66 (30d)

OSV dependency advisories

ragflow
Published findings
mastra
No lockfile (source not queried)

Full report

Typed relationship

ragflow alternative mastraBoth Mastra and RAGFlow involve AI workflows, with RAG being retrieval-augmented generation and likely having some overlap in capabilities but differing in specific functionalities.

Choose ragflow if…

  • ragflow is primarily Go; mastra is TypeScript.
  • License: ragflow is Apache-2.0, mastra is Other.
  • Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services..
  • Both Mastra and RAGFlow involve AI workflows, with RAG being retrieval-augmented generation and likely having some overlap in capabilities but differing in specific functionalities.
  • 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 mastra if…

  • mastra is primarily TypeScript; ragflow is Go.
  • License: mastra is Other, ragflow is Apache-2.0.
  • Pricing: Free for open-source Apache-licensed portions; Mastra Enterprise License subscription required for full feature access..
  • Requirements: Project must be developed in TypeScript.; JavaScript and TypeScript ecosystems (Node.js, NextJS) are prerequisites for leveraging Mastra's integrations fully..
  • Both Mastra and RAGFlow involve AI workflows, with RAG being retrieval-augmented generation and likely having some overlap in capabilities but differing in specific functionalities.
  • Tags unique to mastra: agents, ai, chatbots, evals.
  • Also covers Evaluation & Observability, LLM Frameworks, Speech & Audio.
  • You should use Mastra when you are developing AI-driven applications or bots that require integration with technologies such as text-to-speech (TTS) or complex chatbot functionalities.

When NOT to use mastra

  • Mastra may not be suitable if your application does not require TypeScript and prefers simpler setup or non-TypeScript environments.
  • Avoid using Mastra if enterprise-level features or a dual-license model do not align with your project’s requirements or budget, especially when cost-free, fully open-source alternatives exist that
  • If you are working on smaller projects where the overhead of a comprehensive framework like Mastra overwhelms the available resources or the scope of work is minimal, consider lighter-weight solutions

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 · mastra 27k (synced Aug 1, 2026).

Common questions

What is the difference between ragflow and mastra?
ragflow: Retrieval-Augmented Generation engine with agent capabilities. mastra: Modern TypeScript framework for AI-powered applications and agents. See the comparison table for live GitHub stats and shared categories.
When should I choose ragflow over mastra?
Choose ragflow over mastra when ragflow is primarily Go; mastra is TypeScript; License: ragflow is Apache-2.0, mastra is Other; Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services.; Both Mastra and RAGFlow involve AI workflows, with RAG being retrieval-augmented generation and likely having some overlap in capabilities but differing in specific functionalities; 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 mastra over ragflow?
Choose mastra over ragflow when mastra is primarily TypeScript; ragflow is Go; License: mastra is Other, ragflow is Apache-2.0; Pricing: Free for open-source Apache-licensed portions; Mastra Enterprise License subscription required for full feature access.; Requirements: Project must be developed in TypeScript.; JavaScript and TypeScript ecosystems (Node.js, NextJS) are prerequisites for leveraging Mastra's integrations fully.; Both Mastra and RAGFlow involve AI workflows, with RAG being retrieval-augmented generation and likely having some overlap in capabilities but differing in specific functionalities; Tags unique to mastra: agents, ai, chatbots, evals; Also covers Evaluation & Observability, LLM Frameworks, Speech & Audio; You should use Mastra when you are developing AI-driven applications or bots that require integration with technologies such as text-to-speech (TTS) or complex chatbot functionalities.
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 mastra?
Mastra may not be suitable if your application does not require TypeScript and prefers simpler setup or non-TypeScript environments. Avoid using Mastra if enterprise-level features or a dual-license model do not align with your project’s requirements or budget, especially when cost-free, fully open-source alternatives exist that If you are working on smaller projects where the overhead of a comprehensive framework like Mastra overwhelms the available resources or the scope of work is minimal, consider lighter-weight solutions
Is ragflow or mastra more popular on GitHub?
ragflow has more GitHub stars (86,541 vs 27,229). Stars measure visibility, not whether either tool fits your constraints.
Are ragflow and mastra open source?
Yes - both are open-source projects on GitHub (ragflow: Apache-2.0, mastra: Other).
Where can I find alternatives to ragflow or mastra?
GraphCanon lists graph-backed alternatives at ragflow alternatives and mastra alternatives (ragflow markdown twin, mastra 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 mastra?
ragflow: Very active. mastra: 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 ragflow and mastra?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ragflow trust report; mastra trust report.

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