Comparison
langgraph vs dify
Verdict
Pick langgraph if langGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents, offering durable execution, human-in-the-loop oversight, and comprehensive memory management; 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.
Markdown twin · langgraph alternatives · dify alternatives
GraphCanon updated Oct 4, 2026
20views this month
vs
Trust & integrity
| Signal | langgraph | dify |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Oct 4, 2026 · 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
- Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.
Stars
- langgraph
- 42k
- dify
- 156k
Forks
- langgraph
- 7.1k
- dify
- 25k
Open issues
- langgraph
- 794
- dify
- 1.1k
Language
- langgraph
- Python
- dify
- TypeScript
Adopt for
- langgraph
- LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents, offering durable execution, human-in-the-loop oversight, and comprehensive memory management.
- dify
- 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.
Persona
- langgraph
- -
- dify
- -
Runtime
- langgraph
- -
- dify
- -
License
- langgraph
- MIT
- dify
- Other
Last pushed
- langgraph
- Sep 18, 2026
- dify
- Sep 18, 2026
Categories
- langgraph
- AI Agents
- dify
- AI Agents, Data & Retrieval, Developer Tools
Trust and health
Open issues (now)
- langgraph
- 794
- dify
- 1.1k
Stars delta
- langgraph
- +3.5k (30d)
- dify
- +4.5k (30d)
Open issues delta
- langgraph
- +147 (30d)
- dify
- +172 (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.
- 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, framework, langchain.
- When you need to build agents that can persist through failures and resume from where they left off, ensuring durable execution.
When NOT to use langgraph
- If you are looking for a higher-level package that simplifies the process of building agents with planning and subagent capabilities, consider Deep Agents instead.
- For projects that do not require long-running, stateful workflows, LangGraph's features may be overkill and a simpler framework might be more appropriate.
- If your project is primarily focused on JavaScript or TypeScript, LangGraph.js might be a better fit, as LangGraph is primarily designed for Python environments.
Choose dify if…
- dify is primarily TypeScript; langgraph is Python.
- License: dify is Other, langgraph is MIT.
- 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, agentic-workflow.
- Also covers Data & Retrieval, Developer Tools.
- When you need a collaborative workspace that supports rich AI model and tool integration for agentic workflows and RAG pipelines.
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.
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 Sep 20, 2026
- GitHub forks (langchain-ai/langgraph) · observed Sep 20, 2026
- Last push (langchain-ai/langgraph) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (langgenius/dify) · observed Sep 20, 2026
- GitHub forks (langgenius/dify) · observed Sep 20, 2026
- Last push (langgenius/dify) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Oct 4, 2026
GitHub stars on cards: langgraph 42k · dify 156k (synced Sep 20, 2026).
Common questions
- What is the difference between langgraph and dify?
- langgraph: Low-level orchestration framework for building stateful agents. dify: Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.. 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; 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, framework, langchain; When you need to build agents that can persist through failures and resume from where they left off, ensuring durable execution.
- 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; 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, agentic-workflow; Also covers Data & Retrieval, 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 avoid langgraph?
- If you are looking for a higher-level package that simplifies the process of building agents with planning and subagent capabilities, consider Deep Agents instead. For projects that do not require long-running, stateful workflows, LangGraph's features may be overkill and a simpler framework might be more appropriate. If your project is primarily focused on JavaScript or TypeScript, LangGraph.js might be a better fit, as LangGraph is primarily designed for Python environments.
- 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.
- Is langgraph or dify more popular on GitHub?
- dify has more GitHub stars (156,243 vs 41,866). 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.