Comparison
langgraph vs dify
Verdict
Pick langgraph if langGraph is designed as an open-source orchestration framework to build stateful AI agents. It emphasizes durable execution and human-in-the-loop interventions, along with robust memory management capabilities; pick dify if dify is a comprehensive low-code/no-code AI agentic framework designed for workflow and process automation, offering deployment via Docker Compose and multiple cloud platforms.
Markdown twin · langgraph alternatives · dify alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | langgraph | dify |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3w · github_public_v1 | Very active (0d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- langgraph
- Low-level orchestration framework for building stateful agents.
- dify
- Production-ready platform for agentic workflow development
Stars
- langgraph
- 38k
- dify
- 152k
Forks
- langgraph
- 6.5k
- dify
- 24k
Open issues
- langgraph
- 647
- dify
- 931
Language
- langgraph
- Python
- dify
- TypeScript
Adopt for
- langgraph
- LangGraph is designed as an open-source orchestration framework to build stateful AI agents. It emphasizes durable execution and human-in-the-loop interventions, along with robust memory management capabilities.
- dify
- Dify is a comprehensive low-code/no-code AI agentic framework designed for workflow and process automation, offering deployment via Docker Compose and multiple cloud platforms.
Persona
- langgraph
- -
- dify
- -
Runtime
- langgraph
- -
- dify
- -
License
- langgraph
- MIT
- dify
- Other
Last pushed
- langgraph
- Jul 28, 2026
- dify
- Aug 7, 2026
Categories
- langgraph
- AI Agents, Developer Tools
- dify
- AI Agents
Trust and health
Open issues (now)
- langgraph
- 647
- dify
- 931
Stars delta
- langgraph
- Unknown
- dify
- +3.6k (30d)
Open issues delta
- langgraph
- Unknown
- dify
- +118 (30d)
Full report
- langgraph
- Trust report
- dify
- Trust report
Typed relationship
langgraph alternative difyDify is described as a production-ready platform for agentic workflow development, positioning it as a competing solution to LangGraph, which also focuses on building stateful agents.
Choose langgraph if…
- langgraph is primarily Python; dify is TypeScript.
- License: langgraph is MIT, dify is Other.
- Pricing: LangGraph is available under the MIT license and is free for both personal and commercial use. However, advanced features or services like deployment and debugging might depend on additional paid-for-.
- Requirements: Min 4 GB RAM; Requires Python environment.
- Dify is described as a production-ready platform for agentic workflow development, positioning it as a competing solution to LangGraph, which also focuses on building stateful agents.
- Tags unique to langgraph: agents, ai-agents, enterprise, framework.
- Also covers Developer Tools.
- When you need a low-level framework that supports the development of long-running, stateful AI agents that require complex memory management.
When NOT to use langgraph
- LangGraph is less suitable when you prefer a simpler setup. It demands more initial configuration and lower-level control than other agent-building frameworks such as Deep Agents.
- For projects requiring immediate quick-start capabilities, as LangGraph offers foundational support which involves more manual configuration versus quicker-to-prototype tools.
Choose dify if…
- dify is primarily TypeScript; langgraph is Python.
- License: dify is Other, langgraph is MIT.
- Requirements: Min 4 GB RAM; Requires Docker.
- Dify is described as a production-ready platform for agentic workflow development, positioning it as a competing solution to LangGraph, which also focuses on building stateful agents.
- Tags unique to dify: agent, agentic-ai, agentic-framework, automation.
- When you need a production-grade platform with support for various deployment methods such as Docker Compose, Kubernetes Helm Charts, Terraform, AWS CDK, and Alibaba Cloud services.
When NOT to use dify
- If your project strictly requires a specific proprietary licensing scheme not aligned with Dify’s customized open-source license that is based on Apache 2.0.
- In cases where the desired workflow development tool should be written in a language other than TypeScript or Python, as Dify centers primarily around these languages.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (langchain-ai/langgraph) · observed Jul 28, 2026
- GitHub forks (langchain-ai/langgraph) · observed Jul 28, 2026
- Last push (langchain-ai/langgraph) · observed Jul 28, 2026
- License file (MIT) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (langgenius/dify) · observed Aug 8, 2026
- GitHub forks (langgenius/dify) · observed Aug 8, 2026
- Last push (langgenius/dify) · observed Aug 7, 2026
- License file (Other) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: langgraph 38k · dify 152k (synced Jul 28, 2026).
Common questions
- What is the difference between langgraph and dify?
- langgraph: Low-level orchestration framework for building stateful agents.. dify: Production-ready platform for agentic workflow development. See the comparison table for live GitHub stats and shared categories.
- When should I choose langgraph over dify?
- Choose langgraph over dify when langgraph is primarily Python; dify is TypeScript; License: langgraph is MIT, dify is Other; Pricing: LangGraph is available under the MIT license and is free for both personal and commercial use. However, advanced features or services like deployment and debugging might depend on additional paid-for-; Requirements: Min 4 GB RAM; Requires Python environment; Dify is described as a production-ready platform for agentic workflow development, positioning it as a competing solution to LangGraph, which also focuses on building stateful agents; Tags unique to langgraph: agents, ai-agents, enterprise, framework; Also covers Developer Tools; When you need a low-level framework that supports the development of long-running, stateful AI agents that require complex memory management.
- When should I choose dify over langgraph?
- Choose dify over langgraph when dify is primarily TypeScript; langgraph is Python; License: dify is Other, langgraph is MIT; Requirements: Min 4 GB RAM; Requires Docker; Dify is described as a production-ready platform for agentic workflow development, positioning it as a competing solution to LangGraph, which also focuses on building stateful agents; Tags unique to dify: agent, agentic-ai, agentic-framework, automation; When you need a production-grade platform with support for various deployment methods such as Docker Compose, Kubernetes Helm Charts, Terraform, AWS CDK, and Alibaba Cloud services.
- When should I avoid langgraph?
- LangGraph is less suitable when you prefer a simpler setup. It demands more initial configuration and lower-level control than other agent-building frameworks such as Deep Agents. For projects requiring immediate quick-start capabilities, as LangGraph offers foundational support which involves more manual configuration versus quicker-to-prototype tools.
- When should I avoid dify?
- If your project strictly requires a specific proprietary licensing scheme not aligned with Dify’s customized open-source license that is based on Apache 2.0. In cases where the desired workflow development tool should be written in a language other than TypeScript or Python, as Dify centers primarily around these languages.
- Is langgraph or dify more popular on GitHub?
- dify has more GitHub stars (151,725 vs 38,352). Stars measure visibility, not whether either tool fits your constraints.
- Are langgraph and dify open source?
- Yes - both are open-source projects on GitHub (langgraph: MIT, dify: Other).
- Where can I find alternatives to langgraph or dify?
- GraphCanon lists graph-backed alternatives at langgraph alternatives and dify alternatives (langgraph markdown twin, dify markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, langgraph or dify?
- langgraph: Very active. dify: 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 langgraph and dify?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langgraph trust report; dify trust report.