Dify vs LangGraph
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
Dify suits teams needing freemium free tier, agentic workflow focus, and 153,166 GitHub stars in current listing data. LangGraph suits teams needing open-source access, graph focus, and 40,209 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.
What this comparison weighs
- Pricing and free-tier availability
- License model and deployment fit
- GitHub adoption and contributor depth
- Catalog tags, integrations, and supported workflows
| Metric | Dify | LangGraph |
|---|---|---|
| GitHub Stars | 153.2K | 40.2K |
| Contributors | 457 | 278 |
| Last Commit | Aug 22, 2026 | Aug 22, 2026 |
| Open Issues | 953 | 708 |
| License | open-source | open-source |
| Pricing | freemium | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Choose Dify if you need
- • Dify is the stronger pick when Agentic Workflow matters because that capability is listed only on its profile.
- • Dify shows broader GitHub adoption with 153,166 stars versus 40,209 for LangGraph.
- • Dify has a larger visible contributor base (457 vs 278).
Choose LangGraph if you need
- • LangGraph is the stronger pick when Graph matters because that capability is listed only on its profile.
- • LangGraph is the cleaner fit if you specifically need Graph workflows from the catalog tags.
Meaningful differences
- • Pricing model: Dify is listed as freemium, while LangGraph is listed as open-source.
- • GitHub adoption: Dify shows 153,166 stars versus 40,209 for LangGraph.
- • Contributor count: Dify lists 457 contributors and LangGraph lists 278.
Shared capabilities
- • Multi Agent
- • Open Source
Shared Tags
Only in Dify
Only in LangGraph
Limitations and evidence
- • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
- • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
- • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.
About Dify
Dify is an open-source LLM app development platform that combines agentic AI workflow, RAG pipeline, agent capabilities, model management, and observability features. It lets you go from prototype to production quickly with a visual canvas for building complex AI workflows. Supports 100+ model providers and can be self-hosted or used via cloud.
View full listingAbout LangGraph
LangGraph is LangChain's framework for building stateful, multi-actor agent applications as graphs. Define agents as nodes and their interactions as edges, with built-in persistence, streaming, human-in-the-loop, and time-travel debugging. The standard for production agent orchestration in the LangChain ecosystem.
View full listing