AgentScope Java: Build LLM Apps
From the repo · “Build distributed, production-grade, long-running agents.”
AgentScope Java enables founders to build AI applications using agent-oriented programming in Java, allowing for the creation of autonomous agents that interact and cooperate to achieve complex tasks.
- •Building a multi-agent system that requires autonomous decision-making
- •Developing an AI application that needs to adapt to changing environments
- •Creating a simulation that involves interacting agents with distinct goals and behaviors
Run the `AgentScopeExample.java` file with the command `java -cp target/agentscope-java-1.0.0.jar com.agentscope.example.AgentScopeExample` to see a simple example of agent-oriented programming in action
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/agentscope-java && curl -fsSL https://workflowstacks.com/api/skills/agentscope-java/claude-skill -o ~/.claude/skills/agentscope-java/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
AgentScope Java: Build LLM Apps is a very large Java project (~535k lines across 2961 code files, plus 921 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/agentscope-java && curl -fsSL https://workflowstacks.com/api/skills/agentscope-java/claude-skill -o ~/.claude/skills/agentscope-java/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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