No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by opensolon · MCP Server · ★ 455
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is solon-ai safe to install? View the security audit →
Solon-AI Java LLM(tool, skill) & RAG & MCP & Agent(ReAct, Team) Application development framework Restraint, efficiency and openness It is the same type of development framework as LangChain, LangGraph and LlamaIndex https://solon.noear.org/article/learn-solon-ai <a target="blank" href="https://www.oracle.com/java/technologies/javase/jdk17-archi
| Stars | 455 |
| Forks | 66 |
| Language | Java |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 64.3461112175758/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-13 |
| Created | 2025-03-04 |
| Platforms | cli, java, mcp |
| Est. Tokens | ~20k |
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solon-ai is 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, a. It is categorized as a MCP Server with 455 GitHub stars.
solon-ai is primarily written in Java. It covers topics such as ai, chat, deepseek.
You can find installation instructions and usage details in the solon-ai GitHub repository at github.com/opensolon/solon-ai. The project has 455 stars and 66 forks, indicating an active community.
solon-ai is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to solon-ai on Agent Skills Hub include chat.md, argo, talkio. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: