--- title: "langgraph4j vs agent-kernel" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langgraph4j-langgraph4j-vs-yaalalabs-agent-kernel" tools: ["langgraph4j-langgraph4j", "yaalalabs-agent-kernel"] --- # langgraph4j vs agent-kernel *GraphCanon updated Sep 20, 2026* ## Verdict Pick langgraph4j if langGraph4j is a Java library for developing AI-agentic architectures that integrates seamlessly with Langchain4j and Spring AI; pick agent-kernel if agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A. [langgraph4j](https://langgraph4j.github.io/langgraph4j/) reports 2.0k GitHub stars, 280 forks, and 25 open issues, last pushed Sep 15, 2026. [agent-kernel](https://kernel.yaala.ai/) has 188 stars, 86 forks, and 137 open issues, last pushed Sep 11, 2026. Figures are from public GitHub metadata via [langgraph4j's repository](https://github.com/langgraph4j/langgraph4j) and [agent-kernel's repository](https://github.com/yaalalabs/agent-kernel). | | [langgraph4j](/tools/langgraph4j-langgraph4j.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) | | --- | --- | --- | | Tagline | A library for developing AI Agentic Architectures in Java | The Operating System for Scalable Enterprise AI Agents | | Stars | 2,006 | 188 | | Forks | 280 | 86 | | Open issues | 25 | 137 | | Language | Java | Python | | Adopt for | LangGraph4j is a Java library for developing AI-agentic architectures that integrates seamlessly with Langchain4j and Spring AI. | Agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A. | | Persona | - | - | | Runtime | - | - | | License | MIT License | Apache-2.0 | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langgraph4j](/tools/langgraph4j-langgraph4j.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) | | --- | --- | --- | | Open issues (now) | 25 | 137 | | Stars delta | +98 (30d) | +75 (30d) | | Open issues delta | +1 (30d) | +9 (30d) | | Full report | [trust report](/tools/langgraph4j-langgraph4j/trust.md) | [trust report](/tools/yaalalabs-agent-kernel/trust.md) | ## 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 ## Decision facts: agent-kernel - **Requirements:** It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module. - **Adopt for:** Agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A. ## Choose when ### Choose langgraph4j if… - langgraph4j is primarily Java; agent-kernel is Python. - License: langgraph4j is MIT, agent-kernel 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: agents, ai, langchain4j, spring-ai. - When you are building an application in the Java ecosystem that requires integration with both Langchain4j and Spring AI. ### Choose agent-kernel if… - agent-kernel is primarily Python; langgraph4j is Java. - License: agent-kernel is Apache-2.0, langgraph4j is MIT. - Requirements: It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module.. - Tags unique to agent-kernel: a2a, adk, aws, azure. - If you require seamless scalability across different cloud providers like AWS and Azure without lock-in or rewrites. ## 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. ## When NOT to use agent-kernel - If your project is confined to a single, specific AI framework which doesn't require the flexibility Agent-kernel offers. - When you do not have Python version 3.12 - 3.13.x, as it's the required runtime environment. ## Common questions ### What is the difference between langgraph4j and agent-kernel? langgraph4j: A library for developing AI Agentic Architectures in Java. agent-kernel: The Operating System for Scalable Enterprise AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose langgraph4j over agent-kernel? Choose langgraph4j over agent-kernel when langgraph4j is primarily Java; agent-kernel is Python; License: langgraph4j is MIT, agent-kernel 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: agents, ai, langchain4j, spring-ai; When you are building an application in the Java ecosystem that requires integration with both Langchain4j and Spring AI. ### When should I choose agent-kernel over langgraph4j? Choose agent-kernel over langgraph4j when agent-kernel is primarily Python; langgraph4j is Java; License: agent-kernel is Apache-2.0, langgraph4j is MIT; Requirements: It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module.; Tags unique to agent-kernel: a2a, adk, aws, azure; If you require seamless scalability across different cloud providers like AWS and Azure without lock-in or rewrites. ### 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. ### When should I avoid agent-kernel? If your project is confined to a single, specific AI framework which doesn't require the flexibility Agent-kernel offers. When you do not have Python version 3.12 - 3.13.x, as it's the required runtime environment. ### Is langgraph4j or agent-kernel more popular on GitHub? langgraph4j has more GitHub stars (2,006 vs 188). Stars measure visibility, not whether either tool fits your constraints. ### Are langgraph4j and agent-kernel open source? Yes - both are open-source projects on GitHub (langgraph4j: MIT, agent-kernel: Apache-2.0). ### Where can I find alternatives to langgraph4j or agent-kernel? GraphCanon lists graph-backed alternatives at [langgraph4j alternatives](/tools/langgraph4j-langgraph4j/alternatives) and [agent-kernel alternatives](/tools/yaalalabs-agent-kernel/alternatives) ([langgraph4j markdown twin](/tools/langgraph4j-langgraph4j/alternatives.md), [agent-kernel markdown twin](/tools/yaalalabs-agent-kernel/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/langgraph4j-langgraph4j-vs-yaalalabs-agent-kernel.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langgraph4j or agent-kernel? langgraph4j: Very active. agent-kernel: 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 langgraph4j and agent-kernel? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langgraph4j trust report](/tools/langgraph4j-langgraph4j/trust); [agent-kernel trust report](/tools/yaalalabs-agent-kernel/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langgraph4j-langgraph4j`](/api/graphcanon/graph?tool=langgraph4j-langgraph4j) - 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/_