agentscope-aiOfficial·15 Agent Skills Included

agentscope-java

Build production-ready AI agents in Java with enterprise tooling

Builds reactive, enterprise-grade AI agents in Java with tool calling, memory, planning, and multi-agent orchestration. Removes the pain of wiring LLM providers, session persistence, sandboxed tool execution, and permission controls by hand. Ships ready-made extensions for OpenAI, Anthropic, DashScope, Redis, schedulers, and chat channels so teams ship agents faster.

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npx skills add agentscope-ai/agentscope-java --all -g -y

All Skills in This Repository (15)

Pure Emerald Level Indicators

📦 In Repo

agentscope-ai

data-analysis

Computes basic statistics and writes summaries for user-provided datasets.

summarizer

Condenses provided content into three to five bullet-point key takeaways.

triage-ticket

Classifies inbound customer tickets and drafts the first-response reply.

synthesize-report

Generates citation-grounded Markdown reports from workspace source files.

example-skill

Provides a starter template for authoring custom agent skill playbooks.

code-search

Searches codebases with ripgrep regular expressions and git history queries.

git-checkpoint

Creates git checkpoint commits before risky changes and rolls back failed edits.

apply-patch

Applies multi-file code edits atomically using git apply with unified diffs.

verify-changes

Runs project typecheck, build, lint, and targeted tests to verify code changes.

chart-rendering

Generate matplotlib charts from tidy analysis results as PNG images with reproducible scripts.

sql-analysis

Write, validate, and report SQL queries answering quantitative business questions.

agentscope-java

Build AgentScope Java agents with reactive Mono/Flux workflows.

Official

Advanced

Frequently Asked Questions

FAQPage Schema

How to install AgentScope Java?▼

Run `npx skills add agentscope-ai/agentscope-java --all -g -y` in your terminal to install all skills in this suite globally.

What is AgentScope Java used for?▼

It is a Java framework for building production AI agents with tool calling, long-term memory, multi-agent orchestration, and sandboxed execution. It handles sessions, permissions, and distributed deployment out of the box.

Which LLM providers does AgentScope Java support?▼

It supports DashScope, OpenAI, Anthropic, Gemini, DeepSeek, and Ollama through pluggable extension modules. You switch providers by changing a single model string like dashscope:qwen-plus.

Does AgentScope Java work with Claude Code and Cursor?▼

Yes. The included SKILL.md follows the universal skill standard, so AI coding assistants like Claude Code and Cursor can generate correct AgentScope Java code automatically.

What Java version does AgentScope require?▼

AgentScope Java requires JDK 17 or higher and builds with Maven or Gradle. Dependencies are published on Maven Central under the io.agentscope group.