A Spring AI library that brings Claude Code-inspired tools and agent skills to your AI applications.

Spring AI Agent Utils reimplements core Claude Code capabilities as Spring AI tools, enabling sophisticated agentic workflows with file operations, shell execution, web access, task management, and extensible agent skills.

This project demonstrates how to reverse-engineer and reimplement Claude Code's powerful features within the Spring AI ecosystem, making them available to Java developers building AI agents.

spring-ai-agent-utils/
├── spring-ai-agent-utils-common/        # Shared subagent SPI (interfaces & records)
├── spring-ai-agent-utils/               # Core library (tools, advisors, skills, Claude subagents)
├── spring-ai-agent-utils-a2a/           # A2A protocol subagent implementation
├── spring-ai-agent-utils-bom/           # Bill of Materials for version management
│
└── examples/
    ├── code-agent-demo/                 # Full-featured AI coding assistant
    ├── ask-user-question-demo/          # Interactive question-answer demo
    ├── skills-demo/                     # Focused skills system demo
    ├── subagent-demo/                   # Markdown-defined local sub-agents
    ├── subagent-a2a-demo/               # A2A protocol remote sub-agents
    ├── todo-demo/                       # TodoWriteTool task management demo
    └── memory/
        ├── memory-tools-demo/           # Long-term memory with AutoMemoryTools (manual setup)
        ├── memory-filesystem-tools-demo/# Long-term memory with general FileSystemTools
        └── memory-tools-advisor-demo/   # Long-term memory via AutoAutoMemoryToolsAdvisor

These are the agent tools needed to implement any agentic behavior

• AgentEnvironment - Dynamic agent context utility that provides runtime environment information and git repository status to system prompts
• FileSystemTools - Read, write, and edit files with precise control
• ShellTools - Execute shell commands with timeout control, background process management, and regex output filtering
• GrepTool - Pure Java grep implementation for code search with regex, glob filtering, and multiple output modes
• GlobTool - Fast file pattern matching tool for finding files by name patterns with glob syntax
• SmartWebFetchTool - AI-powered web content summarization with caching
• BraveWebSearchTool - Web search with domain filtering

• AskUserQuestionTool - Ask users clarifying questions with multiple-choice options during agent execution

• SkillsTool - Extend AI agent capabilities with reusable, composable knowledge modules defined in Markdown with YAML front-matter

• AutoMemoryTools - Persistent, file-based long-term memory that survives across conversations. Agents store typed memory files (user, feedback, project, reference) in a sandboxed directory and navigate them via a MEMORY.md index. Requires the companion classpath:/prompt/AUTO_MEMORY_TOOLS_SYSTEM_PROMPT.md system prompt (bundled in the jar) to instruct the agent on when and how to use the tools. Inspired by Claude Code memory and the Claude API SDK memory tool.
• AutoAutoMemoryToolsAdvisor - A ChatClient advisor that wires AutoMemoryTools and its companion system prompt into the request pipeline automatically. Eliminates manual tool and prompt registration, deduplicates callbacks, and supports an optional memoryConsolidationTrigger to prompt the model to summarise and clean up memories on a schedule.

• TodoWriteTool - Structured task management with state tracking
• TaskTools - Extensible sub-agent system for delegating complex tasks to specialized agents with multi-model routing and pluggable backends

While these tools can be used standalone, truly agentic behavior emerges when they are combined. SkillsTool naturally pairs with FileSystemTools and ShellTools to execute domain-specific workflows. BraveWebSearchTool and SmartWebFetchTool provide your AI application with access to real-world information. TaskTools orchestrates complex operations by delegating to specialized sub-agents, each equipped with a tailored subset of these tools.

1. Add dependency:

Use the BOM to manage versions consistently across all modules:

<dependencyManagement>
    <dependencies>
        <dependency>
            <groupId>org.springaicommunity</groupId>
            <artifactId>spring-ai-agent-utils-bom</artifactId>
            <version>0.7.0</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>
    </dependencies>
</dependencyManagement>

<dependencies>
    <dependency>
        <groupId>org.springaicommunity</groupId>
        <artifactId>spring-ai-agent-utils</artifactId>
    </dependency>
</dependencies>

Or add the core library directly:

<dependency>
    <groupId>org.springaicommunity</groupId>
    <artifactId>spring-ai-agent-utils</artifactId>
    <version>0.7.0</version>
</dependency>

Check the latest version:

Note: You need Spring AI version `` or later.

2. Configure your agent:

@SpringBootApplication
public class Application {

    @Bean
    CommandLineRunner demo(ChatClient.Builder chatClientBuilder,
        @Value("${BRAVE_API_KEY}") String braveApiKey,
        @Value("${agent.skills.paths}") List<Resource> skillPaths,
        @Value("classpath:/prompt/MAIN_AGENT_SYSTEM_PROMPT_V2.md") Resource agentSystemPrompt) {

        return args -> {
            // Configure Task tool with Claude sub-agents
            var taskTool = TaskTool.builder()
                .subagentTypes(ClaudeSubagentType.builder()
                    .chatClientBuilder("default", chatClientBuilder.clone())
                    .skillsResources(skillPaths)
                    .braveApiKey(braveApiKey)
                    .build())
                .build();

            ChatClient chatClient = chatClientBuilder
                // Main agent prompt
                .defaultSystem(p -> p.text(agentSystemPrompt) // system prompt
                    .param(AgentEnvironment.ENVIRONMENT_INFO_KEY, AgentEnvironment.info())
                    .param(AgentEnvironment.GIT_STATUS_KEY, AgentEnvironment.gitStatus())
                    .param(AgentEnvironment.AGENT_MODEL_KEY, "claude-sonnet-4-5-20250929")
                    .param(AgentEnvironment.AGENT_MODEL_KNOWLEDGE_CUTOFF_KEY, "2025-01-01"))

                // Sub-Agents
                .defaultToolCallbacks(taskTool)

                // Skills
                .defaultToolCallbacks(SkillsTool.builder()
                    .addSkillsResources(skillPaths)
                    .build())

                // Core Tools
                .defaultTools(
                    ShellTools.builder().build(),
                    FileSystemTools.builder().build(),
                    GrepTool.builder().build(),
                    GlobTool.builder().build(),
                    SmartWebFetchTool.builder(chatClientBuilder.clone().build()).build(),
                    BraveWebSearchTool.builder(braveApiKey).build())

                // Task orchestration
                .defaultTools(TodoWriteTool.builder().build())

                // User feedback tool (use CommandLineQuestionHandler for CLI apps)
                .defaultTools(AskUserQuestionTool.builder()
                    .questionHandler(new CommandLineQuestionHandler())
                    .build())

                // Advisors
                .defaultAdvisors(
                    ToolCallAdvisor.builder().conversationHistoryEnabled(false).build(), // Tool Calling
                    MessageChatMemoryAdvisor.builder(MessageWindowChatMemory.builder().maxMessages(500).build()).build()) // Memory

                .build();

            String response = chatClient
                .prompt("Search for Spring AI documentation and summarize it")
                .call()
                .content();
        };
    }
}

This project reimplements key Claude Code features based on:

• Claude Code Documentation
• Claude Code Agent Skills
• Claude Code Internals - Reverse engineering prompt augmentation
• Claude Code Skills - Implementation patterns

• Java 17+
• Spring Boot 3.x / 4.x
• Spring AI 2.0.0-M4 or later
• Maven 3.6+

# Build the entire project
mvn clean install

# Run an example
cd examples/code-agent-demo  # or examples/skills-demo
mvn spring-boot:run

See examples/README.md for setup and usage details.

Apache License 2.0

• Documentation
• GitHub Repository
• Issue Tracker
• Spring AI Documentation
• Claude Code Documentation

Contributions are welcome! Please feel free to submit issues or pull requests.