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opensolon/solon-ai

Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java26. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.

Java ◇ ai Apache-2.0
★464STARS
⑂70FORKS
!2ISSUES
🏆#9,206GLOBAL RANK
🔥2DAYS TRENDING
🚀
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Momentum

+12

STARS · LAST 30 DAYS

1

PER DAY

#744

MOST-STARRED Java

Window7 days30 days90 days
Stars gained+7+12+90
Per day111
Forks gained+1+3+10

solon-ai gained 12 stars in the last 30 days, about 1 a day, and now has 464. It is about 2 years old and has averaged roughly 232 stars a year. It ranks #744 among Java repositories and #9,206 across all languages on GitHubRepo.

Trending Record

solon-ai has maintained a continuous presence across global trending indexes, peaking at #9640. Below is the 30-day activity profile:

💡 Overview

solon-ai is an open-source project written in Java: Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java26. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, chat, deepseek. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Java for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/opensolon/solon-ai.git
cd solon-ai

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

JDK 17 or higher (OpenJDK / GraalVM)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

solon-ai coordinates its core functionality through a modular Java pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with solon-ai.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install solon-ai using your package manager: `git clone https://github.com/opensolon/solon-ai.git`

2

Initialize your project workspace or configuration file for solon-ai.

3

Import solon-ai into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `solon-ai --help` to verify successful setup.

👍 Strengths

Active community backing with 464 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Java for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Java and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

💡
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👥 Who Should Use This

Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

opensolon/solon-ai is currently ranked #9,206 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#9,198 auth0/Auth0.swift Swift ★ 465 Compare ↗
#9,198 superserve-ai/superserve TypeScript ★ 465 Compare ↗
#9,198 xybrid-ai/xybrid Rust ★ 465 Compare ↗
#9,198 moznion/cccc Rust ★ 465 Compare ↗
#9,198 xiaozhou26/Chromix Python ★ 465 Compare ↗
#9,206 opensolon/solon-ai This Project Java ★ 464
#9,206 myabc/markdownj Java ★ 464 Compare ↗
#9,206 filewatcher/filewatcher Ruby ★ 464 Compare ↗
#9,206 Fraunhofer-AISEC/cpg Kotlin ★ 464 Compare ↗
#9,206 wakatime/wakatime-cli Go ★ 464 Compare ↗
#9,206 open-telemetry/opentelemetry-dotnet-instrumentation C++ ★ 464 Compare ↗
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Frequently Asked Questions

What does solon-ai do? +

Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java26. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.

What language is solon-ai written in? +

The primary language is Java. Topics include: ai, chat, deepseek, embedding, function-call.

Is solon-ai actively maintained? +

Yes, the last recorded push was on Oct 16, 2026 with 2 open issues being tracked.

How many stars does solon-ai have? +

solon-ai has 464 stars and 70 forks on GitHub.

How does solon-ai rank among GitHub repositories? +

With 464 stars, opensolon/solon-ai is ranked #9,206 globally across all repositories tracked on GitHubRepo and #744 among Java projects.

What license is solon-ai distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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