solon-ai: Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent)

by opensolon · MCP Server · ★ 469

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 64/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

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Quick Facts

Stars469
Forks71
LanguageJava
CategoryMCP Server
LicenseApache-2.0
Quality Score64/100
Open Issues4
Last Updated2026-11-02
Created2025-03-04
Platformscli, java, mcp
Est. Tokens~20k

About solon-ai

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

Compatible Skills

These tools work well together with solon-ai for enhanced workflows:

  • cursor-rules-java — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • yu-ai-agent — semantic(0.22)+shared_fw(react)+rare_topics+same_lang+similar_pop+shared_platform (50%)
  • yu-ai-agent — semantic(0.19)+shared_fw(react)+rare_topics+same_lang+similar_pop+shared_platform (49%)
  • claude-code-java — semantic(0.18)+complementary+rare_topics+similar_pop+shared_platform (46%)
  • tinystruct — semantic(0.31)+rare_topics+same_lang+similar_pop+shared_platform (45%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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