--- title: "graphiti vs langgraph4j" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/getzep-graphiti-vs-langgraph4j-langgraph4j" tools: ["getzep-graphiti", "langgraph4j-langgraph4j"] --- # graphiti vs langgraph4j *GraphCanon updated Aug 18, 2026* ## Verdict Pick graphiti if graphiti is a Python-based toolkit for building real-time knowledge graphs utilized by AI agents, supporting Neo4j, FalkorDB, Amazon Neptune, and Kuzu as database options along with OpenAI, Anthropic, Groq, and Gemini LМ; pick langgraph4j if langGraph4j is a Java library for developing AI-agentic architectures that integrates seamlessly with Langchain4j and Spring AI. [graphiti](https://help.getzep.com/graphiti) reports 30k GitHub stars, 3.0k forks, and 488 open issues, last pushed Aug 17, 2026. [langgraph4j](https://langgraph4j.github.io/langgraph4j/) has 1.9k stars, 263 forks, and 24 open issues, last pushed Aug 9, 2026. Figures are from public GitHub metadata via [graphiti's repository](https://github.com/getzep/graphiti) and [langgraph4j's repository](https://github.com/langgraph4j/langgraph4j). | | [graphiti](/tools/getzep-graphiti.md) | [langgraph4j](/tools/langgraph4j-langgraph4j.md) | | --- | --- | --- | | Tagline | Build Real-Time Knowledge Graphs for AI Agents | A library for developing AI Agentic Architectures in Java | | Stars | 30,018 | 1,908 | | Forks | 3,042 | 263 | | Open issues | 488 | 24 | | Language | Python | Java | | Adopt for | Graphiti is a Python-based toolkit for building real-time knowledge graphs utilized by AI agents, supporting Neo4j, FalkorDB, Amazon Neptune, and Kuzu as database options along with OpenAI, Anthropic, Groq, and Gemini LМ | LangGraph4j is a Java library for developing AI-agentic architectures that integrates seamlessly with Langchain4j and Spring AI. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT License | | Categories | AI Agents, LLM Frameworks | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [graphiti](/tools/getzep-graphiti.md) | [langgraph4j](/tools/langgraph4j-langgraph4j.md) | | --- | --- | --- | | Open issues (now) | 488 | 24 | | Stars delta | +1.1k (30d) | Unknown | | Open issues delta | +45 (30d) | Unknown | | Full report | [trust report](/tools/getzep-graphiti/trust.md) | [trust report](/tools/langgraph4j-langgraph4j/trust.md) | ## Decision facts: graphiti - **Adopt for:** Graphiti is a Python-based toolkit for building real-time knowledge graphs utilized by AI agents, supporting Neo4j, FalkorDB, Amazon Neptune, and Kuzu as database options along with OpenAI, Anthropic, Groq, and Gemini LМ ## Decision facts: langgraph4j - **Pricing:** freemium - Available at no cost; commercial support and enterprise options may incur additional charges. - **Requirements:** Min 1 GB RAM - **Adopt for:** LangGraph4j is a Java library for developing AI-agentic architectures that integrates seamlessly with Langchain4j and Spring AI. - **License detail:** MIT License ## Choose when ### Choose graphiti if… - graphiti is primarily Python; langgraph4j is Java. - License: graphiti is Apache-2.0, langgraph4j is MIT. - Tags unique to graphiti: amazon-neptune, falkordb, graph, llms. - Also covers LLM Frameworks. - graphiti ships Docker support for self-hosted deployment. - If you require seamless integration with LLM services that support structured output like OpenAI, Anthropic, or Google Gemini. ### Choose langgraph4j if… - langgraph4j is primarily Java; graphiti is Python. - License: langgraph4j is MIT, graphiti is Apache-2.0. - Pricing: Available at no cost; commercial support and enterprise options may incur additional charges.. - Requirements: Min 1 GB RAM. - Tags unique to langgraph4j: ai, langchain4j, spring-ai, workflow. - When you are building an application in the Java ecosystem that requires integration with both Langchain4j and Spring AI. ## When NOT to use graphiti - Consider alternative tools if your project primarily uses non-compliant LLM providers without structured output support. - If you prefer not to use Python or do not need the capability to build real-time knowledge graphs for AI applications. ## When NOT to use langgraph4j - Avoid using it if your project strictly limits external dependency versions and necessitates an older version of Java (prior to 17), as LangGraph4j demands at least Java 17. - If you require the absolute latest features before official release, direct snapshot use might pose instability risks that could disrupt development cycles or production environments. ## Common questions ### What is the difference between graphiti and langgraph4j? graphiti: Build Real-Time Knowledge Graphs for AI Agents. langgraph4j: A library for developing AI Agentic Architectures in Java. See the comparison table for live GitHub stats and shared categories. ### When should I choose graphiti over langgraph4j? Choose graphiti over langgraph4j when graphiti is primarily Python; langgraph4j is Java; License: graphiti is Apache-2.0, langgraph4j is MIT; Tags unique to graphiti: amazon-neptune, falkordb, graph, llms; Also covers LLM Frameworks; graphiti ships Docker support for self-hosted deployment; If you require seamless integration with LLM services that support structured output like OpenAI, Anthropic, or Google Gemini. ### When should I choose langgraph4j over graphiti? Choose langgraph4j over graphiti when langgraph4j is primarily Java; graphiti is Python; License: langgraph4j is MIT, graphiti is Apache-2.0; Pricing: Available at no cost; commercial support and enterprise options may incur additional charges.; Requirements: Min 1 GB RAM; Tags unique to langgraph4j: ai, langchain4j, spring-ai, workflow; When you are building an application in the Java ecosystem that requires integration with both Langchain4j and Spring AI. ### When should I avoid graphiti? Consider alternative tools if your project primarily uses non-compliant LLM providers without structured output support. If you prefer not to use Python or do not need the capability to build real-time knowledge graphs for AI applications. ### When should I avoid langgraph4j? Avoid using it if your project strictly limits external dependency versions and necessitates an older version of Java (prior to 17), as LangGraph4j demands at least Java 17. If you require the absolute latest features before official release, direct snapshot use might pose instability risks that could disrupt development cycles or production environments. ### Is graphiti or langgraph4j more popular on GitHub? graphiti has more GitHub stars (30,018 vs 1,908). Stars measure visibility, not whether either tool fits your constraints. ### Are graphiti and langgraph4j open source? Yes - both are open-source projects on GitHub (graphiti: Apache-2.0, langgraph4j: MIT). ### Where can I find alternatives to graphiti or langgraph4j? GraphCanon lists graph-backed alternatives at [graphiti alternatives](/tools/getzep-graphiti/alternatives) and [langgraph4j alternatives](/tools/langgraph4j-langgraph4j/alternatives) ([graphiti markdown twin](/tools/getzep-graphiti/alternatives.md), [langgraph4j markdown twin](/tools/langgraph4j-langgraph4j/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/getzep-graphiti-vs-langgraph4j-langgraph4j.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, graphiti or langgraph4j? graphiti: Very active. langgraph4j: 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 graphiti and langgraph4j? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [graphiti trust report](/tools/getzep-graphiti/trust); [langgraph4j trust report](/tools/langgraph4j-langgraph4j/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=getzep-graphiti`](/api/graphcanon/graph?tool=getzep-graphiti) - 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/_