Kodezi Chronos is a research project focused on developing a specialized language model designed specifically for debugging software and understanding large code repositories. Unlike general-purpose language models that focus primarily on code generation, Chronos is built to diagnose and repair bugs by analyzing complex relationships across files within a codebase. The project introduces architectural techniques such as Adaptive Graph-Guided Retrieval, which allows the system to navigate large repositories and retrieve relevant debugging information from multiple sources. Another component, Persistent Debug Memory, allows the system to learn patterns from past debugging sessions and apply that knowledge to future problems. The repository mainly contains research documentation, evaluation benchmarks, and experimental frameworks rather than the full proprietary model implementation.

Features

  • Debugging-focused language model architecture
  • Adaptive Graph-Guided Retrieval for repository navigation
  • Persistent Debug Memory for learning debugging patterns
  • Benchmarks and evaluation tools for debugging research
  • Research documentation and experimental frameworks
  • Repository-scale code analysis capabilities

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Project Activity

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Categories

Machine Learning

License

MIT License

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Kodezi Chronos Web Site

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Additional Project Details

Programming Language

Java

Related Categories

Java Machine Learning Software

Registered

2026-03-10