Comparison
langgraph4j vs agent-kernel
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.
Markdown twin · langgraph4j alternatives · agent-kernel alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | langgraph4j | agent-kernel |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 17, 2026 · github_public_v1 | Very active (1d since push) As of Sep 13, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 17, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 13, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 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
- langgraph4j
- A library for developing AI Agentic Architectures in Java
- agent-kernel
- The Operating System for Scalable Enterprise AI Agents
Stars
- langgraph4j
- 2.0k
- agent-kernel
- 188
Forks
- langgraph4j
- 280
- agent-kernel
- 86
Open issues
- langgraph4j
- 25
- agent-kernel
- 137
Language
- langgraph4j
- Java
- agent-kernel
- Python
Adopt for
- langgraph4j
- LangGraph4j is a Java library for developing AI-agentic architectures that integrates seamlessly with Langchain4j and Spring AI.
- agent-kernel
- 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
- langgraph4j
- -
- agent-kernel
- -
Runtime
- langgraph4j
- -
- agent-kernel
- -
License
- langgraph4j
- MIT License
- agent-kernel
- Apache-2.0
Last pushed
- langgraph4j
- Sep 15, 2026
- agent-kernel
- Sep 11, 2026
Categories
- langgraph4j
- AI Agents
- agent-kernel
- AI Agents
Trust and health
Open issues (now)
- langgraph4j
- 25
- agent-kernel
- 137
Stars delta
- langgraph4j
- +98 (30d)
- agent-kernel
- +75 (30d)
Open issues delta
- langgraph4j
- +1 (30d)
- agent-kernel
- +9 (30d)
Full report
- langgraph4j
- Trust report
- agent-kernel
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (langgraph4j/langgraph4j) · observed Sep 20, 2026
- GitHub forks (langgraph4j/langgraph4j) · observed Sep 20, 2026
- Last push (langgraph4j/langgraph4j) · observed Sep 15, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (yaalalabs/agent-kernel) · observed Sep 20, 2026
- GitHub forks (yaalalabs/agent-kernel) · observed Sep 20, 2026
- Last push (yaalalabs/agent-kernel) · observed Sep 11, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: langgraph4j 2.0k · agent-kernel 188 (synced Sep 20, 2026).
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 and agent-kernel alternatives (langgraph4j markdown twin, agent-kernel 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, 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; agent-kernel trust report.