--- title: "agent-protocol vs langgraph4j" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agi-inc-agent-protocol-vs-langgraph4j-langgraph4j" tools: ["agi-inc-agent-protocol", "langgraph4j-langgraph4j"] --- # agent-protocol vs langgraph4j *GraphCanon updated Sep 20, 2026* ## Verdict Pick agent-protocol if agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking; pick langgraph4j if langGraph4j is a Java library for developing AI-agentic architectures that integrates seamlessly with Langchain4j and Spring AI. [agent-protocol](https://agentprotocol.ai) reports 1.5k GitHub stars, 186 forks, and 49 open issues, last pushed Apr 8, 2025. [langgraph4j](https://langgraph4j.github.io/langgraph4j/) has 2.0k stars, 280 forks, and 25 open issues, last pushed Sep 15, 2026. Figures are from public GitHub metadata via [agent-protocol's repository](https://github.com/agi-inc/agent-protocol) and [langgraph4j's repository](https://github.com/langgraph4j/langgraph4j). | | [agent-protocol](/tools/agi-inc-agent-protocol.md) | [langgraph4j](/tools/langgraph4j-langgraph4j.md) | | --- | --- | --- | | Tagline | Common interface for AI agents | A library for developing AI Agentic Architectures in Java | | Stars | 1,454 | 2,006 | | Forks | 186 | 280 | | Open issues | 49 | 25 | | Language | Python | Java | | Adopt for | agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking. | LangGraph4j is a Java library for developing AI-agentic architectures that integrates seamlessly with Langchain4j and Spring AI. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT License | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-protocol](/tools/agi-inc-agent-protocol.md) | [langgraph4j](/tools/langgraph4j-langgraph4j.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 515d | 1d | | Open issues (now) | 49 | 25 | | Stars delta | -4 (30d) | +98 (30d) | | Open issues delta | -1 (30d) | +1 (30d) | | Full report | [trust report](/tools/agi-inc-agent-protocol/trust.md) | [trust report](/tools/langgraph4j-langgraph4j/trust.md) | ## Decision facts: agent-protocol - **Adopt for:** agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking. ## 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 agent-protocol if… - agent-protocol is primarily Python; langgraph4j is Java. - Tags unique to agent-protocol: ai-agent, api, auto-gpt, gpt-4. - When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them. ### Choose langgraph4j if… - langgraph4j is primarily Java; agent-protocol is Python. - 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 agent-protocol - If you are developing an isolated system with no intention to communicate or integrate with other AI agents outside this scope. - When working in environments where specific, proprietary interfaces provide significantly better performance or features than adhering to a generic protocol could offer. ## 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 agent-protocol and langgraph4j? agent-protocol: Common interface 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 agent-protocol over langgraph4j? Choose agent-protocol over langgraph4j when agent-protocol is primarily Python; langgraph4j is Java; Tags unique to agent-protocol: ai-agent, api, auto-gpt, gpt-4; When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them. ### When should I choose langgraph4j over agent-protocol? Choose langgraph4j over agent-protocol when langgraph4j is primarily Java; agent-protocol is Python; 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 agent-protocol? If you are developing an isolated system with no intention to communicate or integrate with other AI agents outside this scope. When working in environments where specific, proprietary interfaces provide significantly better performance or features than adhering to a generic protocol could offer. ### 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 agent-protocol or langgraph4j more popular on GitHub? langgraph4j has more GitHub stars (2,006 vs 1,454). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-protocol and langgraph4j open source? Yes - both are open-source projects on GitHub (agent-protocol: MIT, langgraph4j: MIT). ### Where can I find alternatives to agent-protocol or langgraph4j? GraphCanon lists graph-backed alternatives at [agent-protocol alternatives](/tools/agi-inc-agent-protocol/alternatives) and [langgraph4j alternatives](/tools/langgraph4j-langgraph4j/alternatives) ([agent-protocol markdown twin](/tools/agi-inc-agent-protocol/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/agi-inc-agent-protocol-vs-langgraph4j-langgraph4j.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-protocol or langgraph4j? agent-protocol: Dormant. 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 agent-protocol and langgraph4j? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-protocol trust report](/tools/agi-inc-agent-protocol/trust); [langgraph4j trust report](/tools/langgraph4j-langgraph4j/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agi-inc-agent-protocol`](/api/graphcanon/graph?tool=agi-inc-agent-protocol) - 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/_