by datallmhub · Agent Tool · ★ 36
AgentFlow4J Build AI agents you can trust in production. AgentFlow4J is a framework and runtime for governed, stateful multi-agent systems on the JVM. Human approvals · Checkpoints · Budget controls · Tool policies · Durable execution Why AgentFlow4J? Build multi-agent workflows with explicit orchestration Persist execution across failures and restarts Add human approval where it matters Control tool access and AI spend Run natively on the JVM and Spring ecosystem ⚡ In 60 seconds java // Define your agents ExecutorAgent analyst = ExecutorAgent.builder() .chatClient(chatClient)...
| Stars | 36 |
| Forks | 12 |
| Language | Java |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 63.4127947467029/100 |
| Open Issues | 12 |
| Last Updated | 2026-06-11 |
| Created | 2026-04-29 |
| Platforms | java |
| Est. Tokens | ~661k |
These tools work well together with agentflow4j for enhanced workflows:
Explore other popular agent tool tools:
agentflow4j is Build AI agents you can trust in production. AgentFlow4J is a framework and runtime for governed, stateful multi-agent systems on the JVM. Human approvals · Checkpoints · Budget controls · Tool poli. It is categorized as a Agent Tool with 36 GitHub stars.
agentflow4j is primarily written in Java. It covers topics such as agent-runtimes, ai-agents, durable-workflows.
You can find installation instructions and usage details in the agentflow4j GitHub repository at github.com/datallmhub/agentflow4j. The project has 36 stars and 12 forks, indicating an active community.
agentflow4j is released under the Apache-2.0 license, making it free to use and modify according to the license terms.