--- title: "Flowise vs FastGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/flowiseai-flowise-vs-labring-fastgpt" tools: ["flowiseai-flowise", "labring-fastgpt"] --- # Flowise vs FastGPT *GraphCanon updated Sep 20, 2026* ## Verdict Pick Flowise if flowise is a visual tool for building AI agents, supporting low-code and no-code development. It enables users to create complex workflows and multi-agent systems through a user-friendly interface; pick FastGPT if fastGPT is a knowledge-based platform for developing and deploying complex question-answering systems, offering out-of-the-box capabilities for data processing, RAG retrieval, and visual AI workflow orchestration. [Flowise](https://flowiseai.com) reports 55k GitHub stars, 25k forks, and 1.0k open issues, last pushed Aug 13, 2026. [FastGPT](https://fastgpt.io) has 30k stars, 7.3k forks, and 170 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [Flowise's repository](https://github.com/FlowiseAI/Flowise) and [FastGPT's repository](https://github.com/labring/FastGPT). | | [Flowise](/tools/flowiseai-flowise.md) | [FastGPT](/tools/labring-fastgpt.md) | | --- | --- | --- | | Tagline | Build AI Agents, Visually | A knowledge-based platform for developing and deploying complex question-answering systems | | Stars | 55,465 | 29,690 | | Forks | 25,031 | 7,320 | | Open issues | 1,040 | 170 | | Language | TypeScript | TypeScript | | Adopt for | Flowise is a visual tool for building AI agents, supporting low-code and no-code development. It enables users to create complex workflows and multi-agent systems through a user-friendly interface. | FastGPT is a knowledge-based platform for developing and deploying complex question-answering systems, offering out-of-the-box capabilities for data processing, RAG retrieval, and visual AI workflow orchestration. | | Persona | - | - | | Runtime | - | - | | License | Other | Other | | Categories | AI Agents, Developer Tools | AI Agents, Data & Retrieval, Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Flowise](/tools/flowiseai-flowise.md) | [FastGPT](/tools/labring-fastgpt.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Very active (96%) | | Days since push | 35d | 0d | | Archived on GitHub | Yes | No | | Open issues (now) | 1.0k | 170 | | Stars delta | +219 (30d) | +324 (30d) | | Open issues delta | -5 (30d) | +5 (30d) | | Full report | [trust report](/tools/flowiseai-flowise/trust.md) | [trust report](/tools/labring-fastgpt/trust.md) | ## Decision facts: Flowise - **Adopt for:** Flowise is a visual tool for building AI agents, supporting low-code and no-code development. It enables users to create complex workflows and multi-agent systems through a user-friendly interface. ## Decision facts: FastGPT - **Adopt for:** FastGPT is a knowledge-based platform for developing and deploying complex question-answering systems, offering out-of-the-box capabilities for data processing, RAG retrieval, and visual AI workflow orchestration. ## Choose when ### Choose Flowise if… - Tags unique to Flowise: agentic-ai, agentic-workflow, agents, artificial-intelligence. - Flowise ships Docker support for self-hosted deployment. - When you need a tool that supports both low-code and no-code development for AI agents. ### Choose FastGPT if… - Tags unique to FastGPT: agent, claude, deepseek, llm. - Also covers Data & Retrieval, Model Training. - When you need a comprehensive platform that supports data processing, RAG retrieval, and visual AI workflow orchestration for developing complex question-answering systems. ## When NOT to use Flowise - If you prefer a tool that does not require NodeJS >= 20.0.0 for installation and operation. - When you need a solution that does not rely on Docker for deployment, as Flowise requires Docker for certain deployment methods. - If you are working in an environment where the Apache License Version 2.0 is not compatible with your project's licensing requirements. ## When NOT to use FastGPT - If you are looking for a platform that supports real-time AI plugin generation, as this feature is not yet available in FastGPT. - When you need a platform that supports RAG module hot updates or Agent-loop hot updates, as these features are currently under development. - If you require advanced debugging modes for complex workflows, as this feature is not yet implemented in FastGPT. ## Common questions ### What is the difference between Flowise and FastGPT? Flowise: Build AI Agents, Visually. FastGPT: A knowledge-based platform for developing and deploying complex question-answering systems. See the comparison table for live GitHub stats and shared categories. ### When should I choose Flowise over FastGPT? Choose Flowise over FastGPT when Tags unique to Flowise: agentic-ai, agentic-workflow, agents, artificial-intelligence; Flowise ships Docker support for self-hosted deployment; When you need a tool that supports both low-code and no-code development for AI agents. ### When should I choose FastGPT over Flowise? Choose FastGPT over Flowise when Tags unique to FastGPT: agent, claude, deepseek, llm; Also covers Data & Retrieval, Model Training; When you need a comprehensive platform that supports data processing, RAG retrieval, and visual AI workflow orchestration for developing complex question-answering systems. ### When should I avoid Flowise? If you prefer a tool that does not require NodeJS >= 20.0.0 for installation and operation. When you need a solution that does not rely on Docker for deployment, as Flowise requires Docker for certain deployment methods. If you are working in an environment where the Apache License Version 2.0 is not compatible with your project's licensing requirements. ### When should I avoid FastGPT? If you are looking for a platform that supports real-time AI plugin generation, as this feature is not yet available in FastGPT. When you need a platform that supports RAG module hot updates or Agent-loop hot updates, as these features are currently under development. If you require advanced debugging modes for complex workflows, as this feature is not yet implemented in FastGPT. ### Is Flowise or FastGPT more popular on GitHub? Flowise has more GitHub stars (55,465 vs 29,690). Stars measure visibility, not whether either tool fits your constraints. ### Are Flowise and FastGPT open source? Yes - both are open-source projects on GitHub (Flowise: Other, FastGPT: Other). ### Where can I find alternatives to Flowise or FastGPT? GraphCanon lists graph-backed alternatives at [Flowise alternatives](/tools/flowiseai-flowise/alternatives) and [FastGPT alternatives](/tools/labring-fastgpt/alternatives) ([Flowise markdown twin](/tools/flowiseai-flowise/alternatives.md), [FastGPT markdown twin](/tools/labring-fastgpt/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/flowiseai-flowise-vs-labring-fastgpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Flowise or FastGPT? Flowise: Archived. FastGPT: 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 Flowise and FastGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Flowise trust report](/tools/flowiseai-flowise/trust); [FastGPT trust report](/tools/labring-fastgpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=flowiseai-flowise`](/api/graphcanon/graph?tool=flowiseai-flowise) - 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/_