--- title: "magic vs langflow" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dtyq-magic-vs-langflow-ai-langflow" tools: ["dtyq-magic", "langflow-ai-langflow"] --- # magic vs langflow *GraphCanon updated Jul 15, 2026* ## Verdict Pick magic when magic is primarily TypeScript; langflow is Python; pick langflow when langflow is primarily Python; magic is TypeScript. [magic](https://www.magicrew.ai/) reports 4.9k GitHub stars, 539 forks, and 10 open issues, last pushed Jun 11, 2026. [langflow](http://www.langflow.org) has 152k stars, 9.7k forks, and 975 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [magic's repository](https://github.com/dtyq/magic) and [langflow's repository](https://github.com/langflow-ai/langflow). | | [magic](/tools/dtyq-magic.md) | [langflow](/tools/langflow-ai-langflow.md) | | --- | --- | --- | | Tagline | Magicrew. The first open-source all-in-one AI productivity platform (Generalist AI Agent + Workflow Engine + IM + Online collaborative office system) | Langflow is a powerful tool for building and deploying AI-powered agents and workflows. | | Stars | 4,926 | 151,697 | | Forks | 539 | 9,654 | | Open issues | 10 | 975 | | Language | TypeScript | Python | | Adopt for | - | Langflow specializes in creating and deploying AI agents and complex workflows through a versatile GUI-based approach. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | AI Agents, Inference & Serving, LLM Frameworks | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [magic](/tools/dtyq-magic.md) | [langflow](/tools/langflow-ai-langflow.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 34d | 0d | | Open issues (now) | 10 | 975 | | Full report | [trust report](/tools/dtyq-magic/trust.md) | [trust report](/tools/langflow-ai-langflow/trust.md) | ## Decision facts: langflow - **Adopt for:** Langflow specializes in creating and deploying AI agents and complex workflows through a versatile GUI-based approach. ## Choose when ### Choose magic if… - magic is primarily TypeScript; langflow is Python. - License: magic is Other, langflow is MIT. - Tags unique to magic: agent, agi, ai, gpt. - Also covers LLM Frameworks. ### Choose langflow if… - langflow is primarily Python; magic is TypeScript. - License: langflow is MIT, magic is Other. - Tags unique to langflow: agents, chatgpt, generative-ai, large-language-models. - - When you need an intuitive graphical interface to manage the creation of AI agents and workflows without deep coding knowledge. ## When NOT to use magic - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use langflow - - For developers preferring a code-first approach who find GUI interfaces restrictive for customization and workflow. - - When the project does not align with or leverage the specific topics of focus such as ChatGPT, multi-agent systems, or requires integration with platforms that Langflow's graphical interface cannot ## Common questions ### What is the difference between magic and langflow? magic: Magicrew. The first open-source all-in-one AI productivity platform (Generalist AI Agent + Workflow Engine + IM + Online collaborative office system). langflow: Langflow is a powerful tool for building and deploying AI-powered agents and workflows.. See the comparison table for live GitHub stats and shared categories. ### When should I choose magic over langflow? Choose magic over langflow when magic is primarily TypeScript; langflow is Python; License: magic is Other, langflow is MIT; Tags unique to magic: agent, agi, ai, gpt; Also covers LLM Frameworks. ### When should I choose langflow over magic? Choose langflow over magic when langflow is primarily Python; magic is TypeScript; License: langflow is MIT, magic is Other; Tags unique to langflow: agents, chatgpt, generative-ai, large-language-models; - When you need an intuitive graphical interface to manage the creation of AI agents and workflows without deep coding knowledge. ### When should I avoid magic? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid langflow? - For developers preferring a code-first approach who find GUI interfaces restrictive for customization and workflow. - When the project does not align with or leverage the specific topics of focus such as ChatGPT, multi-agent systems, or requires integration with platforms that Langflow's graphical interface cannot ### Is magic or langflow more popular on GitHub? langflow has more GitHub stars (151,697 vs 4,926). Stars measure visibility, not whether either tool fits your constraints. ### Are magic and langflow open source? Yes - both are open-source projects on GitHub (magic: Other, langflow: MIT). ### Where can I find alternatives to magic or langflow? GraphCanon lists graph-backed alternatives at [magic alternatives](/tools/dtyq-magic/alternatives) and [langflow alternatives](/tools/langflow-ai-langflow/alternatives) ([magic markdown twin](/tools/dtyq-magic/alternatives.md), [langflow markdown twin](/tools/langflow-ai-langflow/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/dtyq-magic-vs-langflow-ai-langflow.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, magic or langflow? magic: Steady. langflow: 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 magic and langflow? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [magic trust report](/tools/dtyq-magic/trust); [langflow trust report](/tools/langflow-ai-langflow/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dtyq-magic`](/api/graphcanon/graph?tool=dtyq-magic) - 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/_