--- title: "Flowise vs sre" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/flowiseai-flowise-vs-smythos-sre" tools: ["flowiseai-flowise", "smythos-sre"] --- # Flowise vs sre Neutral, constraint-first comparison with live GitHub stats. | | [Flowise](/tools/flowiseai-flowise.md) | [sre](/tools/smythos-sre.md) | | --- | --- | --- | | Tagline | Build AI Agents, Visually | The SmythOS Runtime Environment (SRE) for building and managing intelligent agents | | Stars | 54,430 | 1,286 | | Forks | 24,676 | 198 | | Open issues | 981 | 33 | | Language | TypeScript | TypeScript | | Adopt for | Flowise is designed for building AI agents with a visual, drag-and-drop interface, enabling both low-code and no-code functionalities. It supports TypeScript and integrates with multiple third-party components. | The SmythOS Runtime Environment (SRE) is an open-source, cloud-native runtime designed for building and managing AI agents with OS-level abstractions. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | AI Agents, Developer Tools | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Flowise](/tools/flowiseai-flowise.md) | [sre](/tools/smythos-sre.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 2d | 96d | | Open issues (now) | 981 | 33 | | Security scan | No lockfile | Not scanned | | Full report | [trust report](/tools/flowiseai-flowise/trust.md) | [trust report](/tools/smythos-sre/trust.md) | **Typed relationship:** Flowise _(related)_ sre ## Shared compatibility - **Node.js**: [Flowise](/tools/flowiseai-flowise.md) - Node.js runtime; [sre](/tools/smythos-sre.md) - Node.js runtime ## Decision facts: Flowise - **Requirements:** Requires NodeJS >= 20.0.0 and optionally Docker for containerization; For local development, PNPM package manager is needed - **Adopt for:** Flowise is designed for building AI agents with a visual, drag-and-drop interface, enabling both low-code and no-code functionalities. It supports TypeScript and integrates with multiple third-party components. - **License detail:** Other ## Decision facts: sre - **Requirements:** Min 4 GB RAM; Requires Docker; Ensure Docker installation is up-to-date for a seamless experience with SRE.; A TypeScript environment and familiarity are recommended due to the SDK's language. - **Adopt for:** The SmythOS Runtime Environment (SRE) is an open-source, cloud-native runtime designed for building and managing AI agents with OS-level abstractions. ## Choose when ### Choose Flowise if… - License: Flowise is Other, sre is MIT. - Requirements: Requires NodeJS >= 20.0.0 and optionally Docker for containerization; For local development, PNPM package manager is needed. - Graph edge: Flowise is a typed related of sre - see the relationship row above. - Tags unique to Flowise: artificial-intelligence, large-language-models, agentic-workflow, agentic-ai. - Also covers Developer Tools. - Flowise ships Docker support for self-hosted deployment. - When you need a tool that enables rapid development of AI-based applications using visual workflows ### Choose sre if… - License: sre is MIT, Flowise is Other. - Requirements: Min 4 GB RAM; Requires Docker; Ensure Docker installation is up-to-date for a seamless experience with SRE.; A TypeScript environment and familiarity are recommended due to the SDK's language.. - Graph edge: sre is a typed related of Flowise - see the relationship row above. - Tags unique to sre: orchestration, agent-framework, autonomous-agents, multi-agent-systems. - When you need a production-ready environment with built-in security features that supports scaling AI agents across various environments including local, cloud, and edge. ## When NOT to use Flowise - If your project requires highly specialized programming capabilities not supported by low-code/no-code tools like Flowise - When you prefer command-line interfaces or purely code-based development environments without a visual interface ## When NOT to use sre - If your project does not require flexibility across different providers or if you prefer working within the constraints of a single specific AI framework or provider. - When ease-of-use for rapid prototyping is prioritized over production scalability and security. SRE's design may feel more complex due to its comprehensive features aimed at robust deployment. ## Common questions ### What is the difference between Flowise and sre? Flowise: Build AI Agents, Visually. sre: The SmythOS Runtime Environment (SRE) for building and managing intelligent agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose Flowise over sre? Choose Flowise over sre when License: Flowise is Other, sre is MIT; Requirements: Requires NodeJS >= 20.0.0 and optionally Docker for containerization; For local development, PNPM package manager is needed; Graph edge: Flowise is a typed related of sre - see the relationship row above; Tags unique to Flowise: artificial-intelligence, large-language-models, agentic-workflow, agentic-ai; Also covers Developer Tools; Flowise ships Docker support for self-hosted deployment; When you need a tool that enables rapid development of AI-based applications using visual workflows. ### When should I choose sre over Flowise? Choose sre over Flowise when License: sre is MIT, Flowise is Other; Requirements: Min 4 GB RAM; Requires Docker; Ensure Docker installation is up-to-date for a seamless experience with SRE.; A TypeScript environment and familiarity are recommended due to the SDK's language.; Graph edge: sre is a typed related of Flowise - see the relationship row above; Tags unique to sre: orchestration, agent-framework, autonomous-agents, multi-agent-systems; When you need a production-ready environment with built-in security features that supports scaling AI agents across various environments including local, cloud, and edge. ### When should I avoid Flowise? If your project requires highly specialized programming capabilities not supported by low-code/no-code tools like Flowise When you prefer command-line interfaces or purely code-based development environments without a visual interface ### When should I avoid sre? If your project does not require flexibility across different providers or if you prefer working within the constraints of a single specific AI framework or provider. When ease-of-use for rapid prototyping is prioritized over production scalability and security. SRE's design may feel more complex due to its comprehensive features aimed at robust deployment. ### Is Flowise or sre more popular on GitHub? Flowise has more GitHub stars (54,430 vs 1,286). Stars measure visibility, not whether either tool fits your constraints. ### Are Flowise and sre open source? Yes - both are open-source projects on GitHub (Flowise: Other, sre: MIT). ### Where can I find alternatives to Flowise or sre? GraphCanon lists graph-backed alternatives at /tools/flowiseai-flowise/alternatives and /tools/smythos-sre/alternatives (/tools/flowiseai-flowise/alternatives.md, /tools/smythos-sre/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 /compare/flowiseai-flowise-vs-smythos-sre.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Flowise or sre? Flowise: Very active. sre: Slowing. 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 sre? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Flowise: /tools/flowiseai-flowise/trust; sre: /tools/smythos-sre/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/_