--- title: "dify vs omnigraph" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langgenius-dify-vs-modernrelay-omnigraph" tools: ["langgenius-dify", "modernrelay-omnigraph"] --- # dify vs omnigraph *GraphCanon updated Oct 4, 2026* ## Verdict Pick dify if dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments; pick omnigraph if omnigraph is a graph engine designed for lakehouse environments, featuring git-style workflows for managing graph data. It supports operations on knowledge graphs and graph databases, and integrates with technologies, as. [dify](https://dify.ai) reports 156k GitHub stars, 25k forks, and 1.1k open issues, last pushed Sep 18, 2026. [omnigraph](https://omnigraph.dev) has 1.1k stars, 250 forks, and 56 open issues, last pushed Sep 17, 2026. Figures are from public GitHub metadata via [dify's repository](https://github.com/langgenius/dify) and [omnigraph's repository](https://github.com/ModernRelay/omnigraph). | | [dify](/tools/langgenius-dify.md) | [omnigraph](/tools/modernrelay-omnigraph.md) | | --- | --- | --- | | Tagline | Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace. | Lakehouse native graph engine with git-style workflows | | Stars | 156,243 | 1,136 | | Forks | 24,675 | 250 | | Open issues | 1,103 | 56 | | Language | TypeScript | Rust | | Adopt for | Dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments. | Omnigraph is a graph engine designed for lakehouse environments, featuring git-style workflows for managing graph data. It supports operations on knowledge graphs and graph databases, and integrates with technologies, as | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | AI Agents, Data & Retrieval, Developer Tools | Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dify](/tools/langgenius-dify.md) | [omnigraph](/tools/modernrelay-omnigraph.md) | | --- | --- | --- | | Open issues (now) | 1.1k | 56 | | Stars delta | +4.5k (30d) | +96 (30d) | | Open issues delta | +172 (30d) | +39 (30d) | | Full report | [trust report](/tools/langgenius-dify/trust.md) | [trust report](/tools/modernrelay-omnigraph/trust.md) | ## Decision facts: dify - **Adopt for:** Dify is a platform for creating agentic workflows and RAG pipelines, supporting various AI models and tools, deployable on cloud, VPC, or self-hosted environments. ## Decision facts: omnigraph - **Adopt for:** Omnigraph is a graph engine designed for lakehouse environments, featuring git-style workflows for managing graph data. It supports operations on knowledge graphs and graph databases, and integrates with technologies, as ## Choose when ### Choose dify if… - dify is primarily TypeScript; omnigraph is Rust. - License: dify is Other, omnigraph is MIT. - Tags unique to dify: agent, agentic-ai, agentic-framework, agentic-workflow. - Also covers AI Agents, Developer Tools. - When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines. ### Choose omnigraph if… - omnigraph is primarily Rust; dify is TypeScript. - License: omnigraph is MIT, dify is Other. - Tags unique to omnigraph: apache-arrow, context-graph, datafusion, graph-database. - omnigraph ships Docker support for self-hosted deployment. - When you need a graph engine that integrates seamlessly with lakehouse environments, such as those using Apache Arrow, DataFusion, and S3. ## When NOT to use dify - If your project does not require agentic workflows or RAG pipelines, and you are looking for a more general-purpose AI development tool. - When you need a platform that does not require Docker and Docker Compose for setup, as Dify's quick start guide assumes these prerequisites. - If your team prefers a platform with a different licensing model, as Dify uses a modified Apache 2.0 license with additional conditions. ## When NOT to use omnigraph - If your project does not require integration with lakehouse technologies like Apache Arrow, DataFusion, or S3, Omnigraph might not be the best fit. - If your team is not familiar with Rust or prefers a different programming language, Omnigraph's Rust foundation might pose a learning curve or preference mismatch. - For projects that do not benefit from git-style workflows for graph data management, Omnigraph's unique approach might add unnecessary complexity. ## Common questions ### What is the difference between dify and omnigraph? dify: Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.. omnigraph: Lakehouse native graph engine with git-style workflows. See the comparison table for live GitHub stats and shared categories. ### When should I choose dify over omnigraph? Choose dify over omnigraph when dify is primarily TypeScript; omnigraph is Rust; License: dify is Other, omnigraph is MIT; Tags unique to dify: agent, agentic-ai, agentic-framework, agentic-workflow; Also covers AI Agents, Developer Tools; When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines. ### When should I choose omnigraph over dify? Choose omnigraph over dify when omnigraph is primarily Rust; dify is TypeScript; License: omnigraph is MIT, dify is Other; Tags unique to omnigraph: apache-arrow, context-graph, datafusion, graph-database; omnigraph ships Docker support for self-hosted deployment; When you need a graph engine that integrates seamlessly with lakehouse environments, such as those using Apache Arrow, DataFusion, and S3. ### When should I avoid dify? If your project does not require agentic workflows or RAG pipelines, and you are looking for a more general-purpose AI development tool. When you need a platform that does not require Docker and Docker Compose for setup, as Dify's quick start guide assumes these prerequisites. If your team prefers a platform with a different licensing model, as Dify uses a modified Apache 2.0 license with additional conditions. ### When should I avoid omnigraph? If your project does not require integration with lakehouse technologies like Apache Arrow, DataFusion, or S3, Omnigraph might not be the best fit. If your team is not familiar with Rust or prefers a different programming language, Omnigraph's Rust foundation might pose a learning curve or preference mismatch. For projects that do not benefit from git-style workflows for graph data management, Omnigraph's unique approach might add unnecessary complexity. ### Is dify or omnigraph more popular on GitHub? dify has more GitHub stars (156,243 vs 1,136). Stars measure visibility, not whether either tool fits your constraints. ### Are dify and omnigraph open source? Yes - both are open-source projects on GitHub (dify: Other, omnigraph: MIT). ### Where can I find alternatives to dify or omnigraph? GraphCanon lists graph-backed alternatives at [dify alternatives](/tools/langgenius-dify/alternatives) and [omnigraph alternatives](/tools/modernrelay-omnigraph/alternatives) ([dify markdown twin](/tools/langgenius-dify/alternatives.md), [omnigraph markdown twin](/tools/modernrelay-omnigraph/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/langgenius-dify-vs-modernrelay-omnigraph.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dify or omnigraph? dify: Very active. omnigraph: 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 dify and omnigraph? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dify trust report](/tools/langgenius-dify/trust); [omnigraph trust report](/tools/modernrelay-omnigraph/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langgenius-dify`](/api/graphcanon/graph?tool=langgenius-dify) - 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/_