--- title: "flowgram.ai vs ragflow" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bytedance-flowgram-ai-vs-infiniflow-ragflow" tools: ["bytedance-flowgram-ai", "infiniflow-ragflow"] --- # flowgram.ai vs ragflow *GraphCanon updated Sep 20, 2026* ## 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. [flowgram.ai](https://flowgram.ai) reports 8.5k GitHub stars, 768 forks, and 110 open issues, last pushed Sep 1, 2026. [ragflow](https://ragflow.io) has 91k stars, 11k forks, and 1.4k open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [flowgram.ai's repository](https://github.com/bytedance/flowgram.ai) and [ragflow's repository](https://github.com/infiniflow/ragflow). | | [flowgram.ai](/tools/bytedance-flowgram-ai.md) | [ragflow](/tools/infiniflow-ragflow.md) | | --- | --- | --- | | Tagline | Extensible workflow development framework aiding in rapid AI workflow platform creation | Retrieval-Augmented Generation (RAG) engine with agent capabilities | | Stars | 8,452 | 90,923 | | Forks | 768 | 10,767 | | Open issues | 110 | 1,440 | | Language | TypeScript | Go | | Adopt for | 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 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 | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Developer Tools | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [flowgram.ai](/tools/bytedance-flowgram-ai.md) | [ragflow](/tools/infiniflow-ragflow.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 14d | 0d | | Open issues (now) | 110 | 1.4k | | Stars delta | +102 (30d) | +4.4k (30d) | | Open issues delta | +36 (30d) | -553 (30d) | | Full report | [trust report](/tools/bytedance-flowgram-ai/trust.md) | [trust report](/tools/infiniflow-ragflow/trust.md) | ## Decision facts: flowgram.ai - **Adopt for:** FlowGram.ai is an extensible workflow development framework for TypeScript that aids in rapidly creating AI workflows with visual tools, including no-code options. ## Decision facts: ragflow - **Adopt for:** 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. ## Choose when ### 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 ### 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 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 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. ## 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](/tools/bytedance-flowgram-ai/alternatives) and [ragflow alternatives](/tools/infiniflow-ragflow/alternatives) ([flowgram.ai markdown twin](/tools/bytedance-flowgram-ai/alternatives.md), [ragflow markdown twin](/tools/infiniflow-ragflow/alternatives.md)), 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](/compare/bytedance-flowgram-ai-vs-infiniflow-ragflow.md) 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](/tools/bytedance-flowgram-ai/trust); [ragflow trust report](/tools/infiniflow-ragflow/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bytedance-flowgram-ai`](/api/graphcanon/graph?tool=bytedance-flowgram-ai) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_