Solon AI

Overview#

Solon-AI is a Java AI application development framework under Apache-2.0 license, 100% Java, compatible with Java 8 to Java 25.

Core Modules#

• solon-ai-core: Core module
• solon-ai-agent: Agent module (SimpleAgent, ReActAgent, TeamAgent)
• solon-ai-mcp: MCP protocol module
• solon-ai-acp: ACP protocol module
• solon-ai-a2a: A2A module
• solon-ai-rag-loaders: RAG document loaders
• solon-ai-rag-repositorys: RAG repositories
• solon-ai-skills: Skills module
• solon-ai-flow: AI workflow orchestration
• solon-ai-llm-dialects: LLM dialect adapters

Core Capabilities#

ChatModel: Generic LLM interface with sync and reactive calls.

Multi-model Dialects: Unified interface via dialect adaptation, supporting OpenAI, Gemini, Claude, Ollama, DeepSeek, Dashscope, etc.

Skills: Skill system with dynamic instruction injection and tool integration (Tool, Skill, ChatSession).

RAG: Retrieval-augmented generation with full support for document loading, splitting, embedding, and reranking.

MCP: Deep integration with Model Context Protocol (MCP_2025_06_18), supporting server/client configuration.

Agent: Agent system supporting ReAct reasoning and multi-agent teamwork.

AI Flow: Workflow orchestration with YAML-based low-code configuration and graph-driven orchestration.

Multimodal: Support for image, audio, and video understanding.

Framework Integration#

Seamlessly integrates with Solon ecosystem and can be embedded in SpringBoot, jFinal, Vert.x, Quarkus.

Quick Start#

Requirements: Java 8+, local LLM service (e.g., Ollama).

Maven Dependency:

<dependency>
    <groupId>org.noear</groupId>
    <artifactId>solon-ai</artifactId>
</dependency>

Configuration (app.yml):

solon.ai.chat:
  demo:
    apiUrl: "http://127.0.0.1:11434/api/chat"
    provider: "ollama"
    model: "llama3.2"

Code Example:

ChatModel chatModel = ChatModel.of(config).build();
ChatResponse resp = chatModel.prompt("hello").call();

Use Cases#

Autonomous agents, intelligent assistants with RAG knowledge bases, multi-agent orchestration, business-driven controlled workflows, intelligent document processing and ETL, real-time data insights, automated testing, low-code AI workflow platforms.