Solon-AI
Solon-AI is a comprehensive Java AI application development framework compatible with Java 8 to 24, supporting various AI capabilities such as LLM, Function Call, RAG, Embedding, Reranking, and Flow. It enables building intelligent agents for multiple scenarios and can embed into frameworks like SpringBoot, jFinal, Vert.x, offering a versatile solution for AI development in Java environments.
Added on:
Created by:
Apr 28 2025
Solon-AI is a comprehensive Java AI application development framework compatible with Java 8 to 24, supporting various AI capabilities such as LLM, Function Call, RAG, Embedding, Reranking, and Flow. It enables building intelligent agents for multiple scenarios and can embed into frameworks like SpringBoot, jFinal, Vert.x, offering a versatile solution for AI development in Java environments.
Added on:
Created by:
Apr 28 2025
OpenSolon
Featured
What is Solon-AI?
Solon-AI provides a full scenario application development framework for Java, supporting advanced AI functionalities including large language models (LLM), Function Call, Retrieval-Augmented Generation (RAG), Embedding, Reranking, and process Flow. It offers tools to build intelligent agents capable of multi-modal perception, document retrieval, knowledge base management, and flow-based process automation. It integrates MCP server and client components for multi-endpoint communication, facilitating seamless deployment. Designed to be embedded into existing Java frameworks, it enables developers to create scalable, flexible, and intelligent AI applications with ease and efficiency.
Who will use Solon-AI?
- Java developers working on AI applications
- AI researchers integrating Java-based solutions
- Enterprise integration teams utilizing Java frameworks
- Developers building intelligent agents and chatbots
- Organizations deploying full-scenario AI solutions
How to use the Solon-AI?
- Step1: Clone the repository from GitHub
- Step2: Set up your Java development environment (Java 8-24)
- Step3: Import the project into your IDE
- Step4: Configure the desired AI modules and endpoints
- Step5: Develop or customize agents using provided APIs
- Step6: Run the application and test AI functionalities
- Step7: Deploy MCP server or client components as needed
Solon-AI's Core Features & Benefits
The Core Features
- Support for LLM, Function Calling, RAG, Embedding, Flow
- Multi-endpoint MCP server and client
- Document and knowledge base management
- Multi-modal perception (Vision)
- Flow-based process automation
The Benefits
- Enables full-scenario AI development in Java
- Seamless integration with existing Java frameworks
- Supports scalable and flexible deployment
- Rich set of AI capabilities for diverse applications
- Open-source and highly customizable
Solon-AI's Main Use Cases & Applications
- Building intelligent customer service chatbots
- Automating enterprise workflows with AI flows
- Knowledge base development for document retrieval
- Multi-modal perception applications
- Customized AI agents for specific industry needs
FAQs of Solon-AI
Developer
- opensolon
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Research And Data
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.
AI Chatbot
Integrates APIs, AI, and automation to enhance server and client functionalities dynamically.
Provides long-term memory for LLMs by storing and retrieving contextual information via MCP standards.
An advanced clinical evidence analysis server supporting precision medicine and oncology research with flexible search options.
A platform collecting A2A agents, tools, servers, and clients for effective agent communication and collaboration.
A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
An AI agent controlling macOS using OS-level tools, compatible with MCP, facilitating system management via AI.
PHP client library enabling interaction with MCP servers via SSE, StdIO, or external processes.
A platform for managing and deploying autonomous agents, tools, servers, and clients for automation tasks.
Enables interaction with powerful Text to Speech and video generation APIs for multimedia content creation.
An MCP server providing API access to RedNote (XiaoHongShu, xhs) for seamless integration.