Comparison
flowgram.ai vs ragflow
Verdict
Pick flowgram.ai if flowGram.ai is an extensible workflow development framework for TypeScript that aids in rapidly creating AI workflows with visual tools, including no-code options; 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.
Markdown twin · flowgram.ai alternatives · ragflow alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | flowgram.ai | ragflow |
|---|---|---|
| Maintenance | Active (14d since push) As of Sep 15, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 15, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | Published findings As of Sep 18, 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
- flowgram.ai
- Extensible workflow development framework aiding in rapid AI workflow platform creation
- ragflow
- Retrieval-Augmented Generation (RAG) engine with agent capabilities
Stars
- flowgram.ai
- 8.5k
- ragflow
- 91k
Forks
- flowgram.ai
- 768
- ragflow
- 11k
Open issues
- flowgram.ai
- 110
- ragflow
- 1.4k
Language
- flowgram.ai
- TypeScript
- ragflow
- Go
Adopt for
- flowgram.ai
- FlowGram.ai is an extensible workflow development framework for TypeScript that aids in rapidly creating AI workflows with visual tools, including no-code options.
- 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.
Persona
- flowgram.ai
- -
- ragflow
- -
Runtime
- flowgram.ai
- -
- ragflow
- -
License
- flowgram.ai
- MIT
- ragflow
- Apache-2.0
Last pushed
- flowgram.ai
- Sep 1, 2026
- ragflow
- Sep 18, 2026
Categories
- flowgram.ai
- Developer Tools
- ragflow
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- flowgram.ai
- Active (82%)
- ragflow
- Very active (96%)
Days since push
- flowgram.ai
- 14d
- ragflow
- 0d
Open issues (now)
- flowgram.ai
- 110
- ragflow
- 1.4k
Stars delta
- flowgram.ai
- +102 (30d)
- ragflow
- +4.4k (30d)
Open issues delta
- flowgram.ai
- +36 (30d)
- ragflow
- -553 (30d)
OSV dependency advisories
- flowgram.ai
- No lockfile (source not queried)
- ragflow
- Published findings
Full report
- flowgram.ai
- Trust report
- ragflow
- Trust report
Choose flowgram.ai if…
- flowgram.ai is primarily TypeScript; ragflow is Go.
- License: flowgram.ai is MIT, ragflow is Apache-2.0.
- Tags unique to flowgram.ai: ai, automation, data-flow, form.
- Also covers Developer Tools.
- When you need to create sophisticated AI workflows using a canvas-based interface with TypeScript
When NOT to use flowgram.ai
- Avoid if your project strictly forbids the use of TypeScript or if JavaScript alone suffices for your needs
- Not suitable when you require a fully-fledged, pre-built automation solution without custom workflow development
Choose ragflow if…
- ragflow is primarily Go; flowgram.ai is TypeScript.
- License: ragflow is Apache-2.0, flowgram.ai is MIT.
- Tags unique to ragflow: agent-harness, agentic-ai, agentic-retrieval, agentic-search.
- Also covers AI Agents, 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (bytedance/flowgram.ai) · observed Sep 20, 2026
- GitHub forks (bytedance/flowgram.ai) · observed Sep 20, 2026
- Last push (bytedance/flowgram.ai) · observed Sep 1, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- 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 on cards: flowgram.ai 8.5k · ragflow 91k (synced Sep 20, 2026).
Common questions
- What is the difference between flowgram.ai and ragflow?
- flowgram.ai: Extensible workflow development framework aiding in rapid AI workflow platform creation. ragflow: Retrieval-Augmented Generation (RAG) engine with agent capabilities. See the comparison table for live GitHub stats and shared categories.
- When should I choose flowgram.ai over ragflow?
- Choose flowgram.ai over ragflow when flowgram.ai is primarily TypeScript; ragflow is Go; License: flowgram.ai is MIT, ragflow is Apache-2.0; Tags unique to flowgram.ai: ai, automation, data-flow, form; Also covers Developer Tools; When you need to create sophisticated AI workflows using a canvas-based interface with TypeScript.
- When should I choose ragflow over flowgram.ai?
- Choose ragflow over flowgram.ai when ragflow is primarily Go; flowgram.ai is TypeScript; License: ragflow is Apache-2.0, flowgram.ai is MIT; Tags unique to ragflow: agent-harness, agentic-ai, agentic-retrieval, agentic-search; Also covers AI Agents, 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 avoid flowgram.ai?
- Avoid if your project strictly forbids the use of TypeScript or if JavaScript alone suffices for your needs Not suitable when you require a fully-fledged, pre-built automation solution without custom workflow development
- 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.
- Is flowgram.ai or ragflow more popular on GitHub?
- ragflow has more GitHub stars (90,923 vs 8,452). Stars measure visibility, not whether either tool fits your constraints.
- Are flowgram.ai and ragflow open source?
- Yes - both are open-source projects on GitHub (flowgram.ai: MIT, ragflow: Apache-2.0).
- Where can I find alternatives to flowgram.ai or ragflow?
- GraphCanon lists graph-backed alternatives at flowgram.ai alternatives and ragflow alternatives (flowgram.ai markdown twin, ragflow 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, flowgram.ai or ragflow?
- flowgram.ai: Active. ragflow: 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 flowgram.ai and ragflow?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: flowgram.ai trust report; ragflow trust report.