Kivgraph enhances coding agents by providing a local semantic graph of code symbols, dependencies, and cross-repository relationships. Key features:
• Local semantic graph of code
• Identifies symbol references and dependency paths
• Analyzes cross-repository change impact
• Answers structural code questions with minimal context
• "Find by intent" for natural language code search
This tool allows coding agents to understand code structure deeply, reducing the need for extensive context and improving accuracy. It helps pinpoint exactly what breaks before changes are made, providing precise information like symbol references and dependency chains. Developers can query the codebase using natural language, making it easier to locate relevant files even without knowing specific symbol names.
Kivgraph operates locally and utilizes MCP over stdio, ensuring data privacy and security without requiring external models or API keys. It’s built for engineering teams and developers who use various coding agents and need robust code understanding for faster development cycles, better code quality, and proactive issue identification across complex, interconnected codebases.
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