--- title: "langflow vs manifest" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langflow-ai-langflow-vs-mnfst-manifest" tools: ["langflow-ai-langflow", "mnfst-manifest"] --- # langflow vs manifest *GraphCanon updated Jul 15, 2026* ## Verdict Pick langflow when langflow is primarily Python; manifest is TypeScript; pick manifest when manifest is primarily TypeScript; langflow is Python. [langflow](http://www.langflow.org) reports 152k GitHub stars, 9.7k forks, and 975 open issues, last pushed Jul 11, 2026. [manifest](https://manifest.build) has 7.3k stars, 474 forks, and 94 open issues, last pushed Jul 15, 2026. Figures are from public GitHub metadata via [langflow's repository](https://github.com/langflow-ai/langflow) and [manifest's repository](https://github.com/mnfst/manifest). | | [langflow](/tools/langflow-ai-langflow.md) | [manifest](/tools/mnfst-manifest.md) | | --- | --- | --- | | Tagline | Langflow is a powerful tool for building and deploying AI-powered agents and workflows. | Connect Your Agents And Harnesses With Any Provider 🦚 | | Stars | 151,697 | 7,260 | | Forks | 9,654 | 474 | | Open issues | 975 | 94 | | Language | Python | TypeScript | | Adopt for | Langflow specializes in creating and deploying AI agents and complex workflows through a versatile GUI-based approach. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Inference & Serving | AI Agents, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langflow](/tools/langflow-ai-langflow.md) | [manifest](/tools/mnfst-manifest.md) | | --- | --- | --- | | Open issues (now) | 975 | 94 | | Full report | [trust report](/tools/langflow-ai-langflow/trust.md) | [trust report](/tools/mnfst-manifest/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 langflow if… - langflow is primarily Python; manifest is TypeScript. - 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. ### Choose manifest if… - manifest is primarily TypeScript; langflow is Python. - Tags unique to manifest: ai, ai-sdk, anthropic, byok. - Also covers LLM Frameworks. ## 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 ## When NOT to use manifest - 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. ## Common questions ### What is the difference between langflow and manifest? langflow: Langflow is a powerful tool for building and deploying AI-powered agents and workflows.. manifest: Connect Your Agents And Harnesses With Any Provider 🦚. See the comparison table for live GitHub stats and shared categories. ### When should I choose langflow over manifest? Choose langflow over manifest when langflow is primarily Python; manifest is TypeScript; 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 choose manifest over langflow? Choose manifest over langflow when manifest is primarily TypeScript; langflow is Python; Tags unique to manifest: ai, ai-sdk, anthropic, byok; Also covers LLM Frameworks. ### 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 ### When should I avoid manifest? 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. ### Is langflow or manifest more popular on GitHub? langflow has more GitHub stars (151,697 vs 7,260). Stars measure visibility, not whether either tool fits your constraints. ### Are langflow and manifest open source? Yes - both are open-source projects on GitHub (langflow: MIT, manifest: MIT). ### Where can I find alternatives to langflow or manifest? GraphCanon lists graph-backed alternatives at [langflow alternatives](/tools/langflow-ai-langflow/alternatives) and [manifest alternatives](/tools/mnfst-manifest/alternatives) ([langflow markdown twin](/tools/langflow-ai-langflow/alternatives.md), [manifest markdown twin](/tools/mnfst-manifest/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/langflow-ai-langflow-vs-mnfst-manifest.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langflow or manifest? langflow: Very active. manifest: 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 langflow and manifest? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langflow trust report](/tools/langflow-ai-langflow/trust); [manifest trust report](/tools/mnfst-manifest/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langflow-ai-langflow`](/api/graphcanon/graph?tool=langflow-ai-langflow) - 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/_