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
Trust & integrity
| Signal | ragflow | mastra |
|---|---|---|
| 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
- ragflow
- Trust report
- mastra
- Trust report
Typed relationship
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 (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 (mastra-ai/mastra) · observed Aug 16, 2026
- GitHub forks (mastra-ai/mastra) · observed Aug 16, 2026
- Last push (mastra-ai/mastra) · observed Aug 16, 2026
- License file (Other) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
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.