Why this fit
Developers using AI assistance for code generation, review and refactoring, particularly AI agents that connect over MCP and regulated teams with compliance requirements β source available on GitHub.
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AI Coding / Catalogue record

Catalogue record
github.com
π π π πͺ π§ - Cross-repository code knowledge graph MCP server for Java, Kotlin, JavaScript, and TypeScript. Indexes source into embedded Kuzu...
Field notes
π π π πͺ π§ - Cross-repository code knowledge graph MCP server for Java, Kotlin, JavaScript, and TypeScript. Indexes source into embedded KuzuDB via tree-sitter; 30+ tools for call-flow tracing, multi-hop taint analysis (OWASP/CWE/PCI/STIG reports), entry-point reachability filtering, performance hotspot detection, and license compliance β without reading source files. 95% fewer tokens vs source-reading baseline. pip install orihime
Best for
Developers using AI assistance for code generation, review and refactoring, particularly AI agents that connect over MCP and regulated teams with compliance requirements β source available on GitHub.
Known limitations
Codebases where every change must be authored and reviewed entirely by humans.
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Evidence summary
Why this fit
Developers using AI assistance for code generation, review and refactoring, particularly AI agents that connect over MCP and regulated teams with compliance requirements β source available on GitHub.
Known limitations
Codebases where every change must be authored and reviewed entirely by humans.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
GitHub-backed record with source-attributed context.
Repository context
GitHub / srinivasan-sundaresan95/orihime
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